Pre-Incident Planning for FIFA: Turning Drone Data into 3D Operational Readiness
2026年3月26日
Traditional pre-incident planning (PDFs, CAD drawings, or static maps) does not prepare a unified command for the complexity of dense stadium environments, layered transit corridors, temporary structures, and evolving security perimeters. As agencies prepare for FIFA, planning cannot rely on static diagrams or assumptions. It requires accurate, real-world data of the environments you will be responsible for securing.
This session brings together public safety leaders and 3D mapping experts to discuss how agencies are using autonomous, drone-captured imagery to generate high-fidelity 3D scans, photogrammetry-based point clouds, and measurable digital twins of stadiums and surrounding infrastructure. Skydio’s Jason LaFond and Noreen Charlton will be joined by Captain Tyler Grosser (Kansas City Fire Department) and Bret Gardner from GNext to share practical approaches to strengthening operational readiness for large-scale events.
What you’ll learn:
- How to capture stadium and surrounding infrastructure as measurable 3D planning environments
- The difference between a visual 3D model and an operationally usable digital twin
- How to use models for tabletop exercises and command-level scenario planning
- Where 3D modeling reduces decision friction in unified command and interagency coordination
- How to pressure-test infrastructure, staffing, and airspace plans before public scrutiny
This session is built for agencies actively managing FIFA operations and seeking clear, implementation-focused guidance.
- What if, with just a few moments of focused effort
- and the right software, you
- could significantly enhance your preparedness, deployment, and operational
- effectiveness of, for large scale events like FIFA?
- Like exactly what we're gonna walk through today.
- Welcome everyone, and thanks for joining us for part two of
- our FIFA
- Preparedness series. In our first session, we focused on what it takes to deliver
- a zero failure security operations for events for the scale,
- size of FIFA. We discussed aligning teams, building resilient
- CONOPs, and ensuring every moving piece is coordinated before the first
- fan ever arrives. Today, we're gonna take that one level deeper.
- Because the reality is, no matter how strong your plan
- is on paper,
- execute- execution comes down to how well you
- understand the environment,
- and that's where drone captured data and photogrammetry fundamentally change
- the
- game. So today, we're going to focus on how you move from
- planning to operational readiness.
- We'll discuss how to capture your environment at scale,
- how to turn the data into accurate 3D models and digital twins, and most
- importantly, how to turn those models into actionable
- intelligence that
- supports planning, training, through real-time operations.
- Because when every stakeholder, from incident command to field
- operators, are working from the same high fidelity
- understanding of the
- environment, you reduce uncertainty, identify risk
- earlier, and execute with far greater precision.
- From a Skydio perspective, this is exactly where autonomous drones
- and automated
- capture workflows come in, enabling teams to rapidly build,
- continuously update a shared common operating picture.
- We've got a great group with us today, building perspectives from public safety,
- fire, and advanced 3D modeling. So we're excited to walk you through not
- just
- the technology, but how this is being applied in real world event
- planning today.
- Let's get started with introductions and the team we brought together for
- today's
- session. My name is Jason LaFond. I spent the last 30 years in
- public safety, and today I serve as a public safety
- strategist here at
- Skydio, where I focus on helping agencies
- operationalize drone
- programs for complex, high risk environments like major events.
- Joining me today is Noreen Charlton from public s- from Skydio's Public Safety
- Team. Noreen?
- Thanks, Jason. Hey, everyone. Um, I'm Noreen.
- I lead Public Safety Strategy here at Skydio, and unofficially serve as the
- Public Safety PIO. Uh, in a former life, I worked for Las Vegas
- Metro PD, so I have spent many of my years
- documenting high-profile
- scenes across the country using 3D technologies.
- Um, and I've been doing that for reconstruction
- and forensic analysis.
- And I've also been supporting pre-incident mapping and planning for soft
- target locations in schools. So as much as I love all things
- DFR, this topic, mapping and modeling, is something that's really near
- and dear to me, so really looking forward to this
- conversation.
- We're also joined by Captain Tyler Groesser from the Kansas City,
- Missouri Fire
- Department. Tyler?
- How you doing? I'm Tyler Groesser with Kansas City,
- Missouri Fire Department.
- Uh, been here for 25 years. Currently serve as the
- UAS coordinator, uh, in our special operations division,
- and, uh, happy to be here.
- And finally, Brett Gardner from Genext.
- Hey, Jason, uh, Noreen, and, and all you Skydians.
- Many thanks for, uh, uh, uh, having us join.
- I- I'm Brett Gardner, um, uh, with Genext.
- I handle, uh, sales for North America, um, work with
- utilities, transportation, uh, and, and, uh,
- was chosen by public safety, uh, to join.
- So been in this space for well over a decade, back when a demo used to
- be, "Hey, it stayed in the air," not, "Hey, look at this actionable
- intelligence it's giving me." And so, uh, happy to be here and look forward to
- diving in.
- Thanks, Brett. Welcome all. We've intentionally brought together this
- mix of
- strategy, operations, and technical expertise to give you a
- complete picture
- of how this comes together in practice.
- So today's agenda, we'll talk about kind of what it takes to
- capture
- these environments. We'll talk about some of the,
- the post-processing
- photogrammetry process. What are those workflows?
- What are some of the equipment that you need to capture these
- environments?
- What are the capture modes on the Skydio platform?
- And then the most important part, how do we turn that model into
- actual intelligence? Like, how do we...
- What is the value that that model brings, uh, to us as an ag-
- agency for pre-event planning?
- So planning everywhere, right? So start planning now.
- So in our first series, we talked about, you know, from a pre-event,
- pre-planning perspective, you know, all of the things that, um,
- as a UAS, uh, program manager, as leadership in a
- technology, uh, unit within agency, leadership, uh,
- within public safety, all the different plans
- that you need to think about.
- We talked about developing a CONOPs communication plan, and we talked a little
- bit about mapping and modeling with photogrammetry.
- In today's, we're gonna get into a deep dive of that.
- So large scale events like FIFA don't operate in static environments.
- They are in many ways temporary cities where infrastructure evolves daily,
- crowd dynamics shift consistently, and risk is introduced in many
- ways and are difficult to fully anticipate without the right level of visibility.
- So some key considerations. So today, these
- sites look like empty parking lots. There's nothing, nothing set up.
- But as you start to map these environments today, and then continuing
- to map those as the event infrastructure gets set up,
- uh, these environments are going to change over time, and you,
- you truly get to
- understand, you know, the, how complex these sites are.
- When the stages and the tents and the barricades
- and everything goes up in the
- staging locations, right? Modeling these spatial environments
- is really important.
- It helps you start to understand crowd flow and access routes.
- So what are the entry and exit points so you can manage crowds?
- What are the emergency lanes? What are the choke points?
- So you can start to mitigate and identify these in the early planning
- processes, so that way when you get to real life,
- you've thought through all
- of these challenges. What are the infrastructure?
- How do they change, right?
- Fencing, ingress, egress routes, right?
- That normal road that you would drive up to these sites
- today, whether it's
- a stadium location, um, or a hotel,
- um, or a VIP route,
- um, or a fan fest area. Like, those routes will likely be
- inaccessible. There'll be barrier checkpoints,
- so you know, working through
- those using these models. From a safety and compliance standpoint,
- well,
- how do these, how do these environments work with some
- of the considerations around
- airspace awareness and some operational constraints?
- And then most importantly is, like, how can you collaborate using this tool?
- So sharing it with internal and external stakeholders so everybody
- is in the loop
- as you plan for these events.
- It was important to call out some regulatory considerations, uh, when you
- fly these. So unless you have a beyond visual line of
- sight waiver, right, these
- are visual line of sight flights. So you need, as a pilot,
- the ability to see unimpeded that aircraft while it's flying.
- Now, that gets very complex as you try to map
- very large areas, and you're gonna
- see later in this webinar some of the, some of the sites that Tyler has
- captured as part of his pre-event planning process.
- And, you know, these are massive sites
- that take many battery scans and some time
- to complete. So, you know, highly consider recommending and, and do
- this now so you get it in time is, is getting a BVLOS waiver from the
- FAA. Right now, the turnaround time on these waivers
- is pretty
- quick. Uh, on average, one to two weeks.
- We have a great resource, um, so if you wanna scan that QR code,
- or the link
- will be in the chat here too as well.
- This is a great guide that Skydio produced to help you walk
- through that
- step-by-step process of how to obtain a Part 91 waiver.
- If you don't have a waiver today,
- get started, get your waiver, get it in time so you can, uh, conduct
- these beyond visual line of sight 200 feet shielded
- operations under this new waiver.
- We also recommend using a parachute.
- These are very complex environments. They...
- It may be difficult from a mapping perspective to avoid operating over
- people in vehicles, so highly recommend that you to use a
- parachute when flying these type of missions.
- And most importantly, know your airspace.
- So right now, the airspace may be just restricted
- or class G
- airspace based on your proximity to an airport, but as you get closer to the
- events and TFRs start to go in place, coordinate very
- closely with your stakeholders, both the FIFA's UAS coordination
- group, uh, who's doing a amazing job of coordinating
- FISA- FIFA,
- uh, UAS operations across the sites, in addition to FAA
- stakeholders too as well, so to make sure that you're safely
- operating with the
- authorizations to fly in these environments.
- So now we'll get into a little bit more of the tactical part of this conversation,
- uh, a little bit enablement here. So essentially, what is photogrammetry?
- Photogrammetry at a high level is the process of capturing a large number
- of overlapping images from different angles, then using specialized
- software to identify common points in those images, and then
- reconstruct those into an accurate, measurable 3D model of the environment.
- What that means in practice is you're not just collecting photos at,
- you know,
- top-down, cardinal directions. You're creating a spatially accurate
- digital representation of the real world.
- In an event planning context, this becomes incredibly powerful,
- and we'll, we'll
- show a difference between maybe just some static photos or what Google Maps would
- look, um, versus, you know, capturing and
- processing these models into these environments.
- Tyler, question for you. So when did the fire department start
- using photogrammetry, uh, and how has it had an impact of the
- operations you guys
- do?
- We started using it, um, at the inception of
- our drone program.
- Uh, so around, I don't know, three years or so ago,
- uh, is when we started getting into the
- mapping world,
- and started out trying to do 3D models with
- some legacy software that was pretty cumbersome.
- So it's gotten a lot better, uh, uh, as technology
- has progressed, and, uh, and so we use it,
- uh, consistently now for things of this
- nature.
- Uh, typically pre-planning or, uh, other special,
- uh, situations where, where we need to capture s-
- capture something in, in
- great detail versus just a 2D map.
- Yeah, and when you've, you've, you've created these models
- and you've showed
- leadership within the fire department, like, what has been their response?
- Did they see value in, you know, modeling versus, like a s- maybe a
- site walkthrough or, um, you know, understanding the environment?
- Like, what has been their feedback? How powerful was it to them?
- Yeah, I think that that's the, I think that that's the premise of it.
- I mean, initially, everybody's blown away-
- Yeah
- ... uh, by, by the technology. But once you get past the initial
- reaction, I think that, uh, you're actually, you're actually able
- to bring a walkthrough to a tabletop in much more,
- uh, a much more realistic perspective, which, which
- just, uh, naturally allows people to kind of immerse
- themself
- in, uh, thinking about, uh, potentials or,
- or other situations. So I think that, uh, I think that that's,
- that's, that's really where it, it helps with, uh, pre-planning
- and, and, uh, decision-making process.
- Yeah. Thanks, Tyler. Um, and I'm sure the fire department uses
- photogrammetry for
- many other use cases within the fire service for scene
- documentation, cause and origin investigation. There
- are just so many things.
- Obviously, today's conversation is focused around pre-event planning,
- but in public
- safety in general, photogrammetry is a very powerful tool for many different
- use
- cases. So when we think about the photogrammetry,
- I like
- to talk about it in a three-step process.
- So process one, or step one is capture the environment.
- So you're gonna create automated mapping missions using s- a Skydio
- drone and 3D scan software to rapidly capture the entire
- event footprint. So you're gonna capture the venue,
- the access routes, the
- surrounding terrain, and temporary infrastructure.
- And then you're gonna upload that imagery to a software
- platform. And step two of this is image processing and 3D modeling.
- So you're gonna take those images with sidelap and overlap, and you're gonna turn
- them into a digital twin. You're gonna sync those photos to your
- platform
- of choice, and they're gonna create high-resolution
- orthomosaics and
- accurate 3D models of this site. And then step three of the
- process is this is the value, right?
- So what is, h- what are these models, and how can they create actual
- intelligence? So plan smarter, respond faster,
- operate with confidence using the digital twin to support pre-event planning,
- like operations and post-event analysis.
- For example, you know, pre-planning for, uh,
- crowd flow and ingress, egress, you know, some of the things that we just spoke
- about.
- So what will you need to do these missions?
- So there's some equipment needs, and there's some software needs.
- On the equipment side, you need a Skydio X10 system and
- controller, and you need a few batteries.
- Uh, the s- larger the scan area, maybe the more batteries you need to
- capture
- that environment, anywhere from a one battery to, you know,
- a four
- or five battery scan. Um, you'll need SD cards with plenty
- of space to capture these large datasets.
- Um, a RTK attachment on the top, uh, is optional.
- Um, it's, you know, depends on the needs of the model
- and how accurate the,
- you want the model to be. Um, RTK is much more important from a
- collision or crime scene recon, uh, investigation use case.
- So, um, RTK attachments are, just make the data a little
- bit more accurate, uh, for these models. And then a tripod.
- I like placing the controller using the quarter 20 connection in the back.
- I like placing it on a tripod. That way, it kinda gives me kind of this
- hands-free, uh, ability to, you know, monitor the aircraft while
- it's flying, monitor the condition around me,
- and gives me a little bit, uh, of
- free time with my hands to, to work on other functions
- and not having to
- place the controller down, uh, on the ground or on the truck
- or something like
- that.
- From a software perspective, um, the, uh, just
- the software that comes with Skydio X10 will give you one of the scan, uh, modes.
- 3D scan software will give you additional scan capabilities.
- Um, and then, uh, you need a post, a third-party
- post-processing photogrammetry tool, uh, in order to take those, those
- photos and create mo- great models out of them.
- Um, so let's get down to the nitty-gritty. So how are we gonna get this done?
- So there are a few capture modes within our platform.
- So Map Capture is a 2D orthomosaic.
- So how you plan this map is you get a base map on the controller,
- and it drops a poly. You adjust the size of that.
- You set your altitude. It will give you your GSD,
- how much photos it will take, and what is your runtime or how many
- batteries will it take to capture that environment.
- And every Skydio system, regardless if you have a 3D scan
- license or not, has the ability to perform Map Capture
- or 2D
- orthomosaics. In addition, Surface Capture is another capture mode
- that comes with a 3D scan license.
- The difference here is instead of planning the, uh,
- scan volume
- on a map, you just physically fly and drop pillars around an
- environment. And where that's important is if there's infrastructure being bought
- right now, and for example, that, that infrastructure, that building
- is not on the
- base map, it's hard to, to represent and plan that mission around
- something that d- doesn't exist. So then the solution would be you're just
- gonna
- launch the drone, fly that site, physically drop those pillars, and
- create that scan volume. Another scan mode is 3D Scan
- Capture. So here, you create a floor, a ceiling, and pillars, an
- environment,
- and the drone will do an exploratory flight within that volume.
- It will plan its XYZ flight path to provide you
- overlapping coverage of that full scan volume,
- and then you upload that
- dataset and create these amazing 3D scan models of
- things. Um, and then also the last scan mode is Indoor
- Capture. So if you have a warehouse, a large space where you also want to
- matter, to map not just, not only the outside
- of that structure in that area but also flying an indoor
- capture model in a GPS-denied environment, capturing what that
- indoor environment looks like. And then you can post-process them
- together and
- separately and create this awesome walkthrough from what the environment
- looks like
- outside and then moving into that environment,
- obviously a virtual environment, to
- see what that indoor space looks like.
- So what that workflow looks like is you're going to define your mission
- objectives,
- right? So what is, um,
- what is the area that you want to define? Like, what are the outcomes?
- I want to capture a model of a, uh,
- a motorcade route, and our goals is to understand that, that route,
- look for the, the risks, the mitigations, look for the choke points.
- Um, and, and maybe your mission objective is,
- "I wanna capture
- this stadium, and I want to use this for pre-planning."
- So understanding going into
- it what you want to get out of it helps set this up for success.
- Next is pre-flight planning and safety checks.
- So not only doing your hardware, your Skydio system pre-flight checks,
- but also checking your weather conditions. What is the airspace?
- Getting authorization if you need it.
- And what is your risk assessment of that area as you operate?
- What is the scan parameters? So what is the area of interest defining
- that area of the scan? What are your site boundaries?
- What are your key points of interest within that site you wanna make sure you
- capture? What are your identified hazards?
- What is your flight altitude and your overlap requirements, too,
- as well?
- Then you're gonna go out, and you're gonna execute your scan
- mission.
- You're gonna select one of those scan modes based on the use case
- and the mission
- objectives, and you're gonna execute that mission.
- And you're gonna,
- before you break everything down, you're gonna perform an on-site data
- validation. This is a QA, QC check.
- You just wanna make sure that you have complete coverage of, uh,
- the, the area that you want to capture.
- Then if you need to, uh, you can secure and archive that raw data.
- Uh, if you're a customer that has evidence.com,
- you could just media sync
- that media into evidence.com and then archive that raw data
- set in your divi- your digital evidence management system.
- And then you also take that data set, upload it to a photogrammetry tool,
- and then mark it up, which is the next step is, you know,
- uploading these, uh,
- to your photogrammetry software of choice, which then they generate this
- great 2D orthomosaic point cloud and 3D model.
- Next, you're gonna process this data.
- Um, and then you wanna mark it up and analyze and annotate it.
- So dropping in flags, points of interest, marking out
- different areas, and we're gonna show you a little bit
- that in a live demo here
- coming up.
- And then how do you make it valuable is you distribute to stakeholders.
- So sharing it, whether through the cloud platform
- or creating export
- deliverables, you know, creating maybe a JPEG from a model,
- plugging it into a PowerPoint presentation, overlaying some of that, and
- then that's part of your pre-event planning, uh, meetings
- that you're going into.
- And then as those environments change over time, you want to maintain and update
- the model. So you're gonna refly these missions,
- repro- reprocess
- those new data sets, uh, so you can see that change occur over
- time.
- So Brett and Tyler, a question for you.
- So what are some of the most important considerations when you're planning a s- a
- structure, a scan of like a stadium or in preparing for an
- event? You know, are there like specific settings
- that you guys recommend,
- uh, different procedures, uh, things that you like to do that are some
- lessons learned? Um,
- how do those look for you?
- I'll, I'll take that. Um, the first part of that is
- ask yourself the question, "What is this data going to help me decide?"
- Was your
- first bullet point, and, and that's gonna drive the capture
- strategy. Um, do you need to know, just have situational awareness?
- Because you could do a scene like that with a couple hundred
- images or a couple thousand images, depending on what it is that you
- want to, uh, that you want to see. Um, typically
- 70/70 minimum overlap, um, uh,
- to, to get some of that, uh, that, that clarity.
- But what else, what else would you add to that, Tyler?
- Yeah, I, I mean, I think there's a lot of considerations
- when it, when it
- comes to 3D imagery. I mean, it, it depends on,
- it depends on a lot of different factors, one of them being how much time you have.
- You know, obviously if you're using it for, uh, tactical
- planning or you're doing, uh, some kind of a
- reconstruction where, you know, super fine detail is,
- is important, you know, that's all gonna, uh, dictate
- the amount of time that you have to, or you wanna spend, I guess I should say,
- to capture it. But not the least of which, uh,
- considerations is gonna be the airspace that you're in.
- Um, you know, Skydio does a really good job
- on, on kind of automatically selecting the mo-
- the optimum, um, uh, settings for you in 3D
- scan. Um, and so if, if you're just getting into this,
- I would recommend not, not trying to change those settings as
- much as possible. But, but when you do start changing them, you will
- notice a difference in quality. You'll notice a difference in detail.
- Um, if you're using RTK, it will give you far better
- accuracy. Uh, I would recommend absolutely getting
- ahold of, uh, your local DOT, uh,
- typically, uh, road authority. They usually have a
- robust RTK system that they allow public safety to
- utilize, so you don't have to create your own
- network.
- And then I think the, the most important thing
- that affects everything is
- overlap, uh, just like Brett said.
- And, uh, and, and people try to cut corners or make
- things go faster by reducing that overlap, and, and it does, it makes it
- go faster, but it will absolutely destroy your final
- product.
- And, and we'll just add to that is is that data capture, whether you're
- public safety, utility, transportation,
- capture is the Achilles heel. And so there's some art and science to it,
- but that's
- why we've got great teams to help support, um, uh, your success in
- that.
- If I can just jump in with two things really quickly.
- Um, historically, if you've been doing map capture,
- you know,
- there's been plenty of software out there that you can connect to your drone, and
- you tell it what to do, and it goes out and takes the map capture
- for you.
- And so, um, there's a lot of guesswork that's taken
- out of it, especially if you
- understand the appropriate overlap for your images, as everyone has already
- mentioned here. But what makes 3D scan unique with Skydio
- is that
- it's autonomously capturing things for you in this 3D space.
- You're getting that Z axis and not just your X, Y, and you don't have
- to overthink it. You don't have to think too much about
- where do I have to take these photos and how many do I have to take?
- It just, you tell it the entire volume of the area
- that you want to capture, and it
- goes and it does its thing, and it comes back.
- You have the ability to look at it right then and there before you leave the
- scene. So it's not like you have to go back to a
- computer, put everything
- together, and then realize that you've missed some things.
- Like you can verify all of that on scene before you leave, which will
- inevitably save you a lot of time. Um, but I think the other piece of this is,
- that's really important is understanding kind of, um, what
- this 3D is g- giving you. I think historically a lot of agencies
- have
- only worried about the 2D map, which is obviously important for,
- you know, everyone wants a printed out map
- or a diagram and the ingress and
- egress. But this 3D is providing you with capabilities you
- haven't
- had otherwise. And if you have been using other tools in the
- past, like
- a terrestrial laser scanner, you know those can take a long
- time. They can ta- They are huge, huge data sets,
- which means you need a lot of memory on the computer to process them.
- You need to find a good way to store them and share them, and it's not always super
- easy. But using a drone to get all of this same
- data is
- doing it in, you know, a fraction of the time and giving you
- immediate results right there on your controller that you can check before you-
- You
- know, or as I always used to do, go back to a computer and realize I
- was missing
- stuff and having to go back to the scene.
- So I just wanted to throw those pieces out there as well.
- Awesome. Thanks, Noreen, for the additional insight.
- So we've talked about the planning process.
- So what are the, what are the objectives of the model?
- How do you plan for these missions?
- And we just walked you through the capture process.
- So what is that, you know, step-by-step workflow,
- uh, to capture these environments using the
- different scan modes or capture
- modes? Next is you take that data set and then you post-process it.
- There are many photogrammetry tools that Skydo work with.
- Uh, we're excited today that Brent is joining us.
- So Brent,
- you know, what should agency think about
- when they're evaluating different
- photogrammetry tools for pre-event planning?
- You know, I,
- I'm an old, you know, uh, old school, hands-on
- kind of person, so the ability to get a, a, an evaluation, to, to see
- does it fit your workflow is huge. Security's a big, big
- issue. Um, do they have, uh, typically SOC 2
- Type 2 is the type of security they want.
- Um, also is, is that, um, you know, cloud base is,
- is where a lot of this is going 'cause as, as Noreen mentioned, your computing
- power is now outsourced. Um, as said, uh, being able to have that in the
- cloud, uh, is, is enormous. Um, and we also have,
- you know, uh, uh, do they have cloud to cloud, uh,
- connectivity with, uh, with the drone, uh, uh,
- manufacturer? Um, I think those are all important pieces,
- uh, to the, to the puzzle. And, and bottom line, at the end of the day,
- you need someone that's gonna give you solid customer support, um,
- uh, and be there in the trenches when, uh, when things, uh, it's that,
- again, there's art and science. Uh, it doesn't always go perfectly.
- Um, and it's not a matter of if, it's when,
- and it's how you deal with it at the
- end of the day.
- Thanks, Brent, and I appreciate your support of the Skydo
- customers too as they,
- uh, they plan and prepare for the upcoming
- FIFA game, events.
- Without a doubt. Their success is our success,
- and we're here to make everyone,
- um, like you said, um, operable out of the gate.
- Thanks, Brent. If you'd like to learn more about all of
- the integrations that Skydo
- support through Skydo Extend, please scan this QR code
- or we'll put the link in
- the chat here. Visit our integration page
- and learn about all
- of the integrations that Skydo supports in DFR Command.
- So step three of the process now is, so we, we've planned it, we've captured
- it, and how do we make this valuable, right?
- What is the, what is the value prop here of these
- models?
- Um, and I like to think of it as kind of three
- different gates or milestones.
- So, you know, today's conversation's focused on
- pre-event.
- We're in this pre-event planning mode ahead of FIFA.
- We have all this work to do.
- You know, photogrammetry, just one part of the thing
- that we're working on.
- We talked about all those different plans that we, we're, we're considering right
- now for these events. So we're doing all these actions, right?
- And then the event kicks off or an incident occurs, and then,
- you know, we have these models captured.
- So we're prepared, we're not caught flat-footed.
- You know, we have this real time intelligence
- is the next gate.
- So we have, you know, we pull this tool up,
- we use this digital twin, you know,
- for real time awareness, you know, when an event or something happens, uh,
- during these events.
- And then, you know, what happens after the event, you know?
- The, the games will end, the stadiums will go down, the, the
- stands will go down, and then there's gonna be a ton of lessons
- learned.
- So using these models and post-incident after actions
- or hot washes or
- debriefs is a great tool to bring these groups back
- together, all these stakeholders within public
- safety.
- Uh, and then, you know, have these, you know, debrief sessions after the,
- after the
- FIFA event wraps up. Like, what did we learn? What can we do better?
- And then apply those for future event planning too as well.
- You know, we're solely focused kind of, you know, we're heads down thinking about
- FIFA, but all of your jurisdictions, you have events around the year.
- So while it may not be at the scale of FIFA, there's still a ton of value
- in applying these lessons learned and these workflows and these tools to any
- event that you may have in your jurisdiction.
- So Noreen, you have a ton of experience in
- photogrammetry, uh, for crime
- scene and different environments.
- Uh, based on your experience, you know, how have models helped improve
- the outcomes of incidents?
- Yeah, I mean, uh, this is a topic I could talk about for quite a
- while here.
- Um, but I think what's important to take away,
- especially in this instance when
- we're talking about FIFA or just pre-incident planning in general,
- is,
- you know, training takes a lot of effort.
- And, uh, most agencies are lucky if they even get training days.
- Like, I know there are oftentimes I ask an agency like, "Oh,
- how many training days
- do you get a year?" And I get laughed at, right?
- There just isn't time and you're short-staffed.
- You don't have a whole lot for that.
- On top of it, it's really hard to coordinate getting all
- of the right
- people out to these particular spaces to
- do, you know, like in person drills or coordinated
- efforts for training purposes, especially when you're crossing
- jurisdictions.
- So,
- um, 3D data makes this so much easier to do in
- a
- tabletop exercise. You have the 3D data.
- That can be put through VR systems.
- You could virtually walk through these environments as many ta- times as you
- possibly want, and that gives you kind of this muscle memory.
- So you're not walking into these locations not knowing, you know, what
- is to the left of that doorway or what is around the corner if you
- go down this hallway. You've been there virtually.
- You've seen it in 3D, whether it's, you know, manipulating it in a software,
- or
- you've created kind of a fly through video of it, or you've done this VR
- training. It's all muscle memory.
- And so being able to understand the location
- God forbid if something happens and you all have to go in,
- that you know kind of
- all of that in preparation. But beyond that, and Captain,
- I'd like you to speak on
- this, when you talk about these tabletop
- exercises, you're making sure
- that all of the people that need to be in the know, that
- are making decisions, are
- on the same paper. Um, how are you managing this
- data and sharing it across not only your teams, but potentially
- across different departments and then different agencies when it's a
- multi-jurisdictional or task force that's doing these things?
- Yeah. That's a good question. I'm glad you asked because, uh,
- it's an important
- component. Um, I think the- the most common
- way, and the way that we do, is through ATAK, uh,
- the TAK platform. So we upload 3D imagery into
- the TAK platform, and then, uh... and then we end up
- overlaying a whole multitude of other components on top of that,
- along with, you know, drone detection and, and
- ADSB functionality. I mean, the list goes on and on and on.
- But what's important is, uh, going right back to what you said,
- you know, it, it actually... You take the tabletop into the field, and
- in the operational space,
- um, you overlay, uh, uh, just actual floor
- maps of the structure that you 3D mapped.
- And it, it becomes a wildly powerful, um,
- uh, platform in the palm of your hand that's
- there, that's there with you,
- uh, as a communication tool and a logistics tool, a-
- and everybody becomes, uh, synchronized on the same page.
- So that's how we go about it, but, but I'm sure there's other options out
- there
- as well.
- And, uh, kind of a follow-up to that.
- How often would you say that... Like, let's say for a FIFA event,
- how far out are you starting this planning and these conversations together
- so that you're all working together and communicating effectively? And how...
- So how far out do you start that, and how often do you usually have these
- kind of
- preparation meetings?
- Yeah. So we started a year and a half out, uh, for FIFA.
- Uh, so we stood up. Uh, and that's, that's drone specific.
- So we stood up a drone task force with all of our federal partners,
- and, uh, about 55 different local agencies that
- surround Kansas City that, that may, uh, have a
- part to play in this, uh, whether it's mutual aid or,
- or spillover into these smaller communities.
- Um, so it, it, it started a long ways out and, and we
- started meeting once a month, uh, and that continued up until
- about three weeks ago. Uh, now we're meeting every two weeks, and
- then that'll ramp up to every week as it gets a little bit closer.
- Um, and, and the coordination has been, uh, immense,
- right? I think that the typical amount of people
- that attend the
- meetings, uh, is about 90 different
- representatives and, and these are, these are representatives, uh, at
- all levels of government. Even, uh, you know, it's been in the White
- House. So it, it is a, uh...
- it's an enormous mountain to climb, no doubt, on the planning end of it.
- But I think that if you have the foresight to, uh, to start that
- early, um, uh, things just become pretty
- fluid by the end of it and everybody's on the same page.
- Yeah. Thanks, Tyler. I think the common thread here is that,
- you know, creating one
- model, one map of these environments can be used
- through this full
- life cycle of this incident, right?
- From pre-event to post-incident, it's one model, one common
- operating picture.
- So we'll talk briefly about maybe just a few use cases of photogrammetry
- for pre-event planning. There's probably too many to fit on one
- slide.
- You know, we just talked about tabletop exercise
- and scenario planning, and one of
- the things that you could do, which is really cool, is, you know,
- you can simulate
- incidents. So crowd surge, vehicle threat, maybe medical response, maybe a
- fire,
- uh, maybe a suspicious device or package, and then you could plan that.
- You know, you plan that out, plan a response. Where
- are your personnel gonna stage?
- What are their access routes? And then work through those, right,
- together as
- a group and refine and iterate till you get to a point where
- come game,
- game day or match day, like, when one of these things
- happen, right, the team is in lockstep, they know what to do, and they, they can
- execute much quicker, uh, strategically, uh, because we've thought through
- these things together. Route planning and movement coordination, so
- mapping the VIP routes, you know, for VIP emergency
- evacuation. What are the routes? What are the choke points?
- What are the access constraints? Uh, what are the different staging areas?
- Where will pedestrians be allowed to cross? That could be a checkpoint, right?
- Identifying those, mapping them, and marking them out, uh, on the map,
- too, uh, is a useful tool. Line of sight and visibility
- analysis, so, you know, from an elevated position, you know,
- see where
- adversaries could potentially post up, um, and see, you know,
- different high buildings around your area.
- What is the, what is the field of view?
- What is the perspective from those elevated positions?
- Not only are you gonna want to identify those, but as your event is going on,
- right, those are gonna be key points that you're gonna do security patrols and
- ensure that those rooftops, uh, are secured and safe.
- Site familiarization and operational readiness, so, you know,
- manipulating the
- model, walking through the model.
- You know, it's a immersive virtual, like as Noreen said, you know, even using
- this in a 3D goggle, too, as well, to really get immersed in what these
- environments look like. And the goal here is just to make sure
- that all
- stakeholders are aligned in what this, this truly looks like.
- And risk identification and mitigation, so what are your hazards?
- You know, where are there crowd flow risk?
- Uh, where are we staging personnel, and what are those contingencies?
- Can all the... You know, these are just many of the,
- the use cases for pre-event
- planning. In addition to just spatial awareness
- during a
- real-time incident, so making sure that key stakeholder groups,
- uh, within public safety, so your EMS, uh, tactical
- team, your, uh, maybe SWAT or special weapons, emergency
- services team, your fire task force, okay, they all have
- access to this model. It's already up on their phone,
- or the MDTs-
- And that way if an event or something, an incident happens,
- they can pull these up,
- spatially get oriented in what this environment looks like, and make
- informed decisions into how to address that situation.
- And also counter-UAS planning too as well.
- So obviously counter-UAS is a big part of the FIFA games.
- Uh, th- FIFA organization is doing great training out there too,
- and coordination.
- But, you know, from a UAS perspective, just one of the many use cases is
- just planning out your, your UAS, uh, posture for these
- events too as well, and where those assets will be.
- So
- here's the problem. Google Maps is often out of date.
- So we're gonna show you an example. This is gonna get a bit interactive.
- So this is a site in Kansas City, Missouri.
- This is the Origin Hotel, and this is the CPKC Stadium.
- If you pull this site up today in Google Maps, uh, this is what you see.
- Um, and to zoom in on kinda two key points in
- this map,
- on the left is CPKC Stadium. Today, Google Earth,
- Google Maps, it's heavily under construction.
- None of the infrastructure, barricades, fencing is up.
- But in comparison, the image on the right
- is just a screenshot
- from the map capture, uh, from the photogrammetry that we ran.
- And just one more example too as well, and now h- here's the, here's the
- hotel. This is a hotel that, um, one of the teams will be
- staying at, right? We want to be part of our pre-event
- planning. In Google Earth, this is a hotel under
- construction, right? It's under construction.
- There are construction trailers out there.
- The parking lot doesn't even exist. Uh, and then compare that to the right.
- This is what the real environment looks like, and that's what it looks like today.
- And then again, as the environments change over time, uh,
- remodeling those. So this is where we get into the bit more of an
- interactive. So if you can, uh, on your phone if you'd like to,
- scan this QR
- code. Um, and we'll also drop the link in the chat
- too as well so
- you can get to it.
- And I'm gonna s- switch my screen over to the live model in
- Genext. Um, and then, um, as you scan this QR
- code, you can see this model, um, in Genext.
- You can manipulate it with your fingers.
- You can zoom in, zoom out by pinching.
- You can rotate the model, and you can see different,
- different key points of
- interest within this model. Um, to put this into
- context, you know, you may be thinking to yourself, like,
- "I don't have the time to
- do this. Like, this is great, I see the value,
- but like I got so many things to l- to worry about.
- Like I gotta ramp up personnel, I gotta train more drone pilots, I
- gotta figure out how I'm gonna charge batteries.
- Like, I don't have time to model these." So just
- to give you some context,
- this, this map that you're seeing here live in
- Genext, this was an
- 18-minute flight with a Skydio X10, which
- captured about 750 photos. That was all uploaded to
- Genext. It took a few hours for it to
- post-process, and then what you
- get as an output is this amazing 3D model.
- And I'm just gonna kinda zoom around and zoom in and zoom
- out of this model just so you can kinda get a feel of, you know, what these
- spatial environments look like. Um, so if I look, for example,
- we just talked about line of sight planning.
- So if I zoom into this rooftop, um, part of my security planning is
- understanding what is line of sight.
- So here I can start to see a, get a perspective and understanding,
- all right, from
- this rooftop in this elevated position, what could an
- adversary see here, right? So, um, I...
- They can see obviously the outside and possibly some seats here on the
- far side. And I can kinda do these quick evaluations
- from both these
- rooftops as I just manipulate this model.
- Now, from a, a fire service perspective, um,
- you know,
- you know, planning out, uh, where is your water supply, right?
- So part of your pre-event planning for fire departments are gonna be, all right,
- if
- there's an incident, there's a fire, where are we gonna get water, right?
- So we have a river here. Um, maybe we can indicate in here,
- let's say the fire hydrant system goes down. There's not enough water.
- We need to,
- uh, draft from the river. We're gonna stage an engine here.
- We're gonna put a relay pumper, you know, 2,000 feet away and then get the
- water to the scene that we need to. Um, we can also mark out
- here fire hydrants. So to give you an understanding, like
- if I zoom into this
- model,
- here's a fire hydrant.
- And, and Jason, just show them real quick, double-click on that and you can see, so
- you can then investigate what's under...
- The underlying image is, is there as well.
- Yep.
- So the model includes that navigation.
- So that, that's a great call-out, Brett.
- So, you know, we talked about the photogrammetry
- process.
- At a high level, it's taking photos, finding that sidewalk and overlap,
- piecing it
- into a model. But you always have the underlying raw
- imagery, right? There was an image or many images likely that made
- this part of the model. If you need to get in to get
- more tight, maybe get more detail on a certain area,
- um, or
- better yet, see what's there pre versus post-incident,
- you could
- always get into, um, the, the, the core imagery that
- made the raw data set that this model...
- Yeah, great call-out.
- So you'll see this square here around the Origin Hotel.
- Um, and I'm gonna go back to the slide deck
- and walk you through a pretty
- interesting use case, and such, such easy thing that you could do,
- uh, with a model is, you know, sec- security perimeter planning.
- So as I mentioned before, this is a hotel that a team will be staying at.
- We're gonna need, you know, law enforcement's gonna wanna create,
- you know, a hot
- zone, a perimeter around this hotel.
- So, you know, part of that is, well, from a resource standpoint, well, how much
- barricades do I need to do that? You know, maybe more traditional
- methods would be going out with, like, a roller or doing a sidewalk with
- a tape measure and measuring to get that, and how much time does that
- take and how labor-intensive is that?
- But within probably five minutes, I was able to drop four lines
- Uh, within gNext, each of those lines gave me a linear
- footage of each of those sides. I add them up, I get a perimeter
- of, um, about, about 1,400 feet, right?
- 1,366 feet to create a perimeter around that
- hotel. I divide that by eight and a half, each barricade is eight and a half
- feet, and that tells me to create a security
- zone
- around this hotel, I need 161 barricades.
- Now, scale that out. Let's say you want to line,
- um, this roadway right here, right, in the model.
- If you're still looking at the model on your map, you see that runway, right,
- that'll be a zone. Um, how many feet do I need to, to line
- that with barricades? You can easily do that in a model,
- and it's just one of the,
- one of the live use cases that I wanted to show you.
- Now we're gonna get into another model.
- Uh, so this is the Arrowhead Stadium in Kansas
- City.
- This model was processed, uh, by, by Tyler, um, and
- Alex Joyce from MyView. Um, and I'm gonna switch here to the
- live model in a moment, but Tyler, if you can, uh, talk to
- us about kind of what it took to create this model.
- Like, how many flights did you do? What was the flight time?
- Um, how did you stage? Did you move yourself around as you
- captured and executed
- this mission? Um, what i- what was that process that you did?
- Sure, yeah. So we're actually gonna talk about two
- different, two different
- models and, uh, on two different scales, I guess.
- So this was the first one that we did, um,
- and, and we captured it, uh, took about an hour.
- Uh, so a couple battery swaps. Um, it-
- I don't remember the number of images that were in this one.
- Maybe, uh, less than 1,000, I think.
- Mm-hmm.
- Uh, and make no mistake, I mean, it's a, it's a large area, but,
- uh, we went on to, to do this, uh,
- much, much larger area, which took, uh, four and
- a half hours, um, the subsequent number of
- battery swaps to get that amount of continuous flight.
- And, um, no, we did not move around.
- We stayed, uh, parked. It was empty parking lot, obviously, so
- we just, uh, you can actually see where we're parked on
- the map.
- But, uh, we stayed parked. Um, some concerns,
- obviously, to make sure, um, we flew,
- uh, both of these missions at very different
- heights, very different parameters,
- um, or altitudes, I guess I should say.
- So this one is a pretty high altitude and, and it,
- um, this is in a really great location for
- airspace, to be honest with you, so that wasn't much of a concern.
- But, um, but, but you will need to have a
- beyond visual line of sight waiver to do stuff like this at, at,
- at higher altitudes, I would say. Um, so yeah,
- it's, uh, this one was equivalent of about 5,000
- images. Uh, and, and the other one was just the
- stadium itself was probably 700.
- Okay. So to con- kind of put it in comparison,
- the model we just looked
- at, uh, it took us 18 minutes, about
- 750 photos to capture that environment.
- Now, this one took you, like you said, around four hours to capture.
- Um, and so you can get a con- kind of cos- comparison of the size,
- um, and breadth of, of a s- of a scale and scope that you can model
- these. Now, in this live model in gNext, we can see there's
- a bunch of markups here and, you know, as you sit in pre-planning meetings,
- you're,
- you're hearing things about, you know, staging areas and, and fencing
- and whatnot,
- and then you're taking that back and building it into the model.
- So there's, again, that common operating picture.
- Tyler, if you can, walk us through, like, some of the things that you, um, you, you
- implemented in this, in this map. Like, what are these different boxes and these
- yellow lines? What do these represent in the real world?
- Yeah. I think it's something important to call
- out with, uh, any
- event at this scale, um, chances are the
- landscape that you
- have grown accustomed to seeing is gonna change immensely because
- of, uh, of what, uh, organizations like FIFA do,
- uh, when they come in. They wanna transform it into their own
- environment, and,
- and, uh, they don't really... You know, they have to remove all of this branding
- and, and they really want it to be known as
- their event,
- obviously. So with that being said, they also change the entire
- dynamic and flow of how normal operations on a day-to-day,
- uh, would go. So this yellow line that goes around the entire
- perimeter is actually a 12-foot fence.
- Uh, so they have a concept called the Last
- Mile.
- Uh, there will be no vehicles on behalf of
- the, uh, of
- the fans that will realistically be allowed within a
- mile of the stadium. So there's a bunch of s- uh,
- parking lots that they're gonna be shuttling people in on buses
- and, and then, uh, there won't be any actual fan
- parking at the stadium. So they're gonna fence off this entire
- area, establish their, uh, entry points,
- and, um, you know, it's a, it's a pretty robust process
- just to allow fans in. Uh, they have to be, uh, go
- through different types of detection and, and, uh, working
- dogs, uh,
- and
- all the things necessary to prevent,
- uh, things from coming in. But some of these other
- areas that are annotated here, uh, obviously staging
- points, areas where, uh, public safety resources are gonna be
- located, uh, tunnel entries that go under
- the stadium, uh, that'll be used for ingress
- or egress, primarily on behalf of employees or public
- safety, to, uh, the broadcasting areas.
- Uh, that's important because this is where- The broadcast or
- media drones will be launching and landing, so that's
- gonna be, uh, an area where public safety needs to be
- aware of that and
- probably stay out unless necessary.
- Um, and then anything from logistics, command areas,
- uh, to what they call fan zones, which are temporary
- structures built in the parking lot here, uh, that they'll
- have whatever activities, uh, built up for the fans.
- So there's also, uh, a good amount of, of
- things that we, uh, took off of this map or
- redacted, uh, for security reasons, but, uh,
- different, different things, uh, in the periphery, like, uh,
- counter-UAS locations, sniper locations,
- um, you know, command posts, things of that nature.
- But i- in addition to that, you can see these different black dots.
- Those are all fire hydrants. Uh, we use a color-coding
- system. So these are all on a 12-inch main all the
- way across that
- parking lot. And then there just so happens to be one
- of them on the corner
- that's not in service, and we know that based off of our, uh,
- mapping software that we use. So we can mark that, and then
- everybody, uh, going into the event, unless they fix it in the
- meantime, will know that that fire hydrant's out of service.
- Awesome, Tyler. Thanks for walking us through this map.
- Man, I love this map so much. I could look at this thing all day.
- [laughs]
- But, um, you know, we talked about, you know,
- how we can use this with stakeholders.
- So, you know, I could create a JPEG or a screenshot of this.
- I could dump it into a PowerPoint, you know,
- with all of these annotation markups.
- We could go to a pre-event planning meeting, to stakeholder coordination
- meeting. We put this up on a big screen
- and we talk about this together.
- What are some of the features within GNX, like, if we want to share it out so
- we can get, like, a real-time model?
- Uh, is there, like, a URL or a different way that we could do that?
- And is there any reporting capabilities that, you know, instead
- of having, you know... In addition to this real-time access,
- maybe there's some
- sort of PDF report that we can generate, uh, with kind of more,
- more granular detail of the model.
- Mm. A- absolutely. And just to put it in perspective, that
- entire scene is a little over 30 million square feet,
- um, when you add that in. And, and so Jason, if you go up
- to, um, I think you said... Yep, you can grab that.
- That's your share link. Very, very simple.
- Um, lots of different ways to share this data,
- and they could be named or not named
- users. Um, I, I highly recommend, like you said, knowing who's
- there, not sharing credentials, but it's very easy to share this out very
- quickly.
- We also have a new, uh, functionality that's actually now got a,
- uh, will
- have a QR code, um, as well to scan for situational awareness
- across, across your team. But probably as, as, as important, if you'd
- go into the, to the, uh,
- uh, open up the tab to the left,
- and if you go under the media tools, yep, and go a- take a look at
- this annotations report. Um, and you can put your logo, the
- FIFA logo, whoever I guess they're gonna call this,
- uh, Kansas City Stadium you said. But anyways, you scroll down
- through that, any of those edits, annotations, now you've got an X, Y, and
- Z of each one of those, uh, locations for, uh,
- for shareability.
- And you can push that out in a PDF format.
- Um, there's also a document management system,
- uh, along
- just to the, to the right of the, uh, of, of that other button.
- But each one of those is, you can dynamically resize each one of
- the, uh, one of those images, you know, so you can tell the story
- exactly the way you want it, um, uh, in each one of those.
- And again, pretty... I mean, as you can see,
- Jason's rolling through that very
- quickly and, and Tyler did a phenomenal job, uh,
- of using
- these, uh, of using these tools, and we're,
- and we're listening to some of these
- needs and refining some of these. But again, how is data captured,
- where it was
- captured. So you've got great, uh, tools for AARs, um,
- uh, and, and repeatability of this mission as well.
- Um, and, and so if you wanna just cancel out of
- that, Jason.
- Uh, down, and just to the right of the,
- the Share button, there's also a document management system,
- and we haven't
- thrown many in there yet. Uh, but you can have any type of
- reports that you may need for anyone that's gonna come in there to be able to
- look
- at these, um, and, you know, and sharing any of that, uh, that, that
- environment. Uh, but again, the engineering and analytic
- tools, um, in the platform are very deep, uh, and, and
- constantly being refined to, uh, these types of use cases.
- Awesome. Well, Brett, Tyler, thanks for walking us through that.
- Um,
- again, just another example. This is what that same site looks like in
- Google Maps today versus, you know, this h- this
- high-value screenshot that you could capture, uh,
- or take from the map
- capture within the photogrammetry system.
- So first, some next steps, um,
- before we get into questions. Uh, so as we wrap up today,
- I wanna bring us back to
- the core idea of this entire series.
- FIFA scale events demand a zero failure mindset, and that doesn't just happen
- in the moment. It's built well before the first kickoff.
- In part one of this webinar series, we talked about aligning teams, building
- ConOps, and preparing for complexity.
- Today, we focused on something just as critical,
- understanding the environment
- with precision.
- Because you can't... You can just capture the site,
- but you could also turn it into
- high-fidelity digital model and share that across agencies.
- You're no longer planning based on assumptions.
- You're operating from a common, accurate, and continuously usable source of
- truth. And what we've shown today, this isn't just the
- beginning. It's about creating a capacity
- that carries through from
- pre-event coordination to real-time incident response
- to after-action learnings and continuous improvements.
- One data set- ... multiple operational impacts.
- For those of you preparing for FIFA and other large scale events, there,
- the key
- takeaway is simple: start now. Start capturing your
- environments, start building your models, start integrating them
- into your planning process so that when the event arrives, your teams aren't
- reacting, they're ready. Here on the screen,
- you're seeing a few different
- resources, so if you scan that QR code, that will link
- to, uh, our awesome 3D scan software, which will walk
- you through step by step all of the capture modes that we talked about in this
- webinar. In addition, if you have access to Skydio Academy,
- there
- is a 3D scan for X10 module in Skydio
- Academy. So if you have a Skydio X10 platform,
- I would take
- the online academy, I would take a look at the software manual
- and like
- I said, go out now, start capturing these environments.
- I want to thank our panelists for sharing their expertise and real world experience
- today. Thank you for all for taking the time to
- join us.
- Uh, we do have a few questions, so we'll stick around.
- I know we have a few minutes left. Uh, look forward to the conversation.
- So Noreen, what do we have for questions on the deck?
- Jason, unfortunately we are over time.
- Okay.
- Um, yep, so we're not gonna get into questions.
- Uh, you guys know how to reach out to us.
- If you wanna just drop us a note in the Skydio Live platform where you registered
- for this, um, we'll absolutely get back to you.
- You'll obviously get a follow-up email from the team once the
- recording's available as well. So if you need anything, you can reach out.
- Um, really appreciate all of you. Uh, Captain,
- hopefully, you know, I think you are a wealth of knowledge.
- Hopefully you're open and willing to a bunch of LinkedIn and/or
- requests-
- Mm
- ... for assistance here because I think, uh, a lot of teams are looking for
- some guidance in how to prepare. Maybe not necessarily for FIFA,
- but for some
- upcoming events down the line.
- Absolutely.
- Tyler, any final thoughts?
- No, feel free to reach out. Um, um, you guys can make, uh,
- my information available to everybody and, uh, be happy to help if
- anybody's, uh, looking for some ideas.
- [clears throat]
- Brett, any final thoughts from you, sir?
- No, same. Uh, many thanks. You know, reach out.
- We're happy to get an evaluation account into your hands.
- Um, like I said, uh, Tyler's relatively new to it,
- but he's already
- a, a power user. Um, so your success is our success, so
- just, just let us know and, and we're there to support you.
- Thank you.
- All right, everyone. Again, appreciate for you joining today.
- Uh, we have many more webinars coming out
- soon.
- Keep your eye out for those. We'll be sending information out about our
- next
- series in the FIFA preparedness webinar series for Skydio.
- Thank you all for joining. Stay safe out there. Fly safe.
- Back each other up.
- Bye.
Watch Time
58 Mins 8 Secs
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