David Pearson:

Good morning or afternoon everyone. This is David Pearson with LiveView Technology. We're going to get started here in about one minute with our amazing webinar today on Acoustic Threat Detection. So, again, we'll get started in just about one minute. Thank you so much for coming.

Okay. Again, thank you everyone for coming out here. I'm really excited today to talk about Acoustic Threat Detection with our speakers. We have Brandon Woolf. He is the VP of product and product management, R&D for LiveView technology. And Rob Oldham, who's the director of business development and strategic partnerships with Acoem, our newest partner who specializes in Acoustic Threat Detection. Brandon, Rob, if you want to introduce yourselves really quick before we get going?

Brandon Woolf:

Absolutely. Welcome everybody. We're excited to be here today and be chatting. I'm Brandon Woolf, LiveView Technologies. We've got some really cool stuff. We're partnering with Acoem and so we've got Rob on the line here as well. We're going to tell you all about it. I get you guys excited about gunshot detection. We know there's a lot of interest and need in the market today for gunshot detection. And so, we're partnering to have an incredible solution for you.

Rob Oldham:

Yeah, thanks, Brandon. Rob Oldham here with Acoem specializing in the Acoustic Threat Detection. And again, super excited to be here today. Looking forward to this new partnership with LiveView Technologies and the force multiplication that we're going to talk about today, what we're doing together.

David Pearson:

Fantastic. Thank you both. Just as a quick matter of housekeeping, so we are going to have some Q&A at the end. There should be on your dashboard, a little area that says questions. So, feel free during the presentation to put your questions in there and we'll get to them at the end. And if there are any questions that we don't get to, then we'll make sure to answer those for you personally afterwards. Okay, Brandon, I will pass it off to you. Take it away.

Brandon Woolf:

All right. So, let me give you a quick summary of LiveView Technologies. You're probably familiar, but rapid deploy units, we put all sorts of technology on these units. You can deploy them anywhere, harsh weather conditions, high temperature, low temperature. And they last for days and days, but they're on solar power as well. So, they last ultimately indefinitely. Incredibly high uptime alerts, notifications, eyes on the ground, get you the information you need at the time you need it. And we're seeing more and more need from our customers for a really good gunshot detection. And we'll go into a little of those details in a little bit. But we've partnered with Acoem, done a whole bunch of tests and are pairing our technologies together to come up with what you need. So, we will roll into a little bit about acoustic gunshot detection today and go into those details. Talk about pros, talk about cons, talk about the technology that Acoem has, and how we're partnering together. And hopefully you guys have some questions we can answer for you today, too.

Rob Oldham:

Yeah, so I'll go ahead and jump in on this section here. So, what is Acoustic Threat Detection? And really what we're doing is we're looking for the acoustic signals. So, traditionally in the security space, we relied heavily on the surveillance aspect or the pixel base, the video, the surveillance cameras. But there is a whole nother section or application of the acoustics piece of it. And so, we're going to use the term a lot about force multiplication. Specifically today we're going to focus on the gunshot aspect. Although I will talk a little bit about our roadmap and some future releases that we have in the very near future. Kind of moving into the need. I think it goes in many ways without saying, but there's definitely a need in today's world. We've had this year alone, over 425 mass shootings. And that is defined as four or more people injured or killed. And that's excluding the shooter.

And for many, many years, the federal government didn't even have a way or didn't have a defined way to track what a mass shooting was, or it doesn't even today have its own separate category of that crime. But it has become such a pandemic that it is starting to be tracked much more intensely. And you've got an average of 1.9 mass shootings per day. And that's in the US alone. So, what we find is hearing the shot isn't enough.

My background personally, I started out in the military when I was 17 years old and I've spent a fair amount of time in the Middle East. And I've been shot at, I've been fired upon. And even to the trained ear, it can be very difficult to distinguish where that shooter is or where that shot's coming from. Let alone the civilian that thinks they hear a gunshot and to distinguish between is that a gunshot or is that a vehicle backfiring? Where's the shooter? And so, when you get a 911 call that comes in, it typically takes several minutes just to find where that shooter is or to find out if that actually is a shooter. And then your average shooter hits a new person every 15 to 30 seconds. So, when you look at the time involved, why I'm passionate about Acoustic Threat Detection, and why I see substantial value teaming with LiveView personally, is if we can save time and respond more effectively, then we can absolutely save lives.

Brandon Woolf:

So, some of the stuff you brought up there, Rob, are interesting because when people think about acoustic, they think about sound. So, it's listening to the gunshot detection. Tell us a little bit about how you guys detect... First of all, there's the whole range thing that we need to talk about. You've got the sensor range is an important thing because you can't have one of these every 20 feet in your entire area you're trying to survey. So, tell us a little bit about range and then we'll go from there.

Rob Oldham:

Yeah, yeah. So, you can go ahead and hit the next slide and we'll dive into a little bit. So, what's very interesting and Game-changing about the Acoem ATD, so it's an acronym that we use Acoustic Threat Detection. So, you'll hear me say that several times today. But our Acoem ATD technology, we have the ability to triangulate with one sensor. So, we don't have to have or deploy multiple sensors throughout a large area, and have them connect and crosstalk to triangulate. So, the fit is really nice with the LVT, the LiveView Technology solution because we could deploy a portable virtually anywhere, and it could be as little as one portable, and we can give you that triangulation. Our area of coverage is 500 feet in any direction. So, 360 degrees, we covered 500 feet out. And where we're unique and where this technology was derived is we've been doing this for over 40 years. We started out with submarine detection. And then in the mid-'90s we were tasked by NATO to develop a technology to be used specifically in Sniper Alley in the Bosnia-Syria conflict.

And subsequently since that time, we've been successfully deployed through virtually every major combat zone where we work with over 20 plus different military entities globally. And so, our roots run very deep being deployed on vehicles, moving vehicles, forward operating bases. And we've been able to use that technology and deregulate or declassify it for the commercial space. And all those years that we've had to be able to train our AI and our neural networks to be able to distinguish what a gunshot is acoustically as it compares to other sound signatures or pulsonic sounds. So, we are very accurate at that and we work really well. We'll talk a little bit more about how we perform with the background or ambient level noise. So, we can move on and talk about that a little bit.

Brandon Woolf:

Yeah, I'd love to ask also some of the stuff we've talked about. Is it important for you on weapon classification, types of weapons?

Rob Oldham:

Yeah, so we detect any arm. So, we've done testing, substantial testing with even surprising, believe it or not, shotgun. Our technology was derived from the military from combat zones. That was actually surprising to me because the shotgun is not typically a lethal weapon in a combat zone. It's more of a close range, close quarters type weapon. And with LiveView in our testing that we've done, we did shotgun with birdshot and buckshot, and we very accurately detected that, as well as 22 small arms fire. So, nine millimeter 40, 45, all the way up to 308 50 cal. Naturally, the larger the caliber, the easier it is to detect. But even down as small as a 22 caliber we detect. And if you look at the images here, you can see a 360 view if you will, or a 2D view of our sensor as it's opened up. And we have a miniaturized array of microphones built into it.

Everything's edge based. So, all of our AI, and our processors, and everything are out at the edge. So, we don't require any additional software, or licensing, or an additional server to run our artificial intelligence. That's all edge-based. And then on the right, you'll see the little antennas coming off the top. Those are simply bird spikes. So, a lot of folks always ask, "Well, how large is it? And is it aesthetically pleasing or is it going to really be bulky? How do I mount it?" And that's another really nice thing about our partnership here is, the sensor's very small. It's about the size of a mini-dome camera. It can be painted to blend in as necessary and it only draws six watts of power. So, when we talk about being deployed out at the edge and running off solar power, we are very light. Six watts of power is equivalent to an LED light bulb or even less.

Brandon Woolf:

So, we know it's got a really solid range. All these points are really important for why we partnered with you as well, because we're deploying these units, we didn't want to have to have one of these sensors every 50 feet. I will say though, detecting the type of weapon, the directionality, where it came from, one thing we haven't talked about is whether the gunshot was fired within range or whether the bullet came into range, the whole ballistic detection. Tell us a little bit about that.

Rob Oldham:

Yeah, that's a really good question, Brandon. So, within our very conservative range of 500 feet, which is again very conservative, we give you the latitude and the of the shooter. And another really powerful feature that we do is we slew to cue. And for those of you that don't know what that is, we move the camera. So, you saw those who have done business and are familiar with LiveView solution. And if you're not, there's typically a pan tilt zoom camera associated. And that camera will move upon a gunfire. We will detect it and we will move the camera to the threat, giving you the ability to know exactly who the threat is. Not just the fact that you have a threat and where it came from, but who is your trigger puller? Who are you looking for? And that's a very, very big force multiplier.

So, again, outside of that range, to get more specific on your question, Brandon, if we're outside of 500 feet and we will talk. So, as we talk about the results of our test fire that we've done, we went out with LiveView further because we detected at a 100% accuracy all of the gunshots. And so, naturally, we wanted to see how we could break it. So, we went out substantially further than the 500 foot range. And at 865 feet with a 223, a 556 caliber, which is essentially an AR-15 and a 308 caliber, we detected those shots out that far. And what's interesting about that is the actual distance is one thing, but the ambient noise level, it was extremely loud.

And we have this report that I believe that we're going to be sharing after this webinar with those who joined, but our average DB level was 86.7. So, it was an extremely windy day, which brings in a whole slew of challenges. 86 DB, if you look at, so 90 DB is deemed to cause human damage after eight hours. So, if you have 90 DB and you're listening to it, the human ear, after eight hours of that, you'll have hearing damage. So, 86.7 is quite loud. We had measurements as high as 114 DB, which is equivalent to a jet engine taking off at 300 meter range. So, it was very loud. We were very accurate.

And again, when you get outside of that 500 foot range it off, especially with ambient noise, it can be difficult to detect the muzzle blast. And so, we look for the ballistic. We look for the projectile. When we can detect the muzzle blast and the projectile, then we can give you the coordinates. We can actually slew to cue the camera to the shooter. If they're outside of that range, then generally we know we have sniper fire, we know we're getting shot at. It becomes more difficult to understand exactly that range. So, we always try to be conservative and design our solution around that 500 foot range.

Brandon Woolf:

Awesome. One of the things I think that's really interesting with this technology, too, is multiple shooters within the same range and how on the live unit, you can have a multiple number of cameras, typically three to five cameras on there and you can technically detect multiple shooters and have cameras do different things with slew to cue. So, it's a really cool use case.

Rob Oldham:

Yeah, Brandon, what we find generally is when you have a shooter, there's a couple scenarios. So, our range of coverage, we're not dependent on the camera having to see the shooter. The camera could be looking somewhere else. When there is a shot fired, we move the camera to the shooter. So, we can cover a very large range. We can be deployed very quickly. So, it could be an event and it might be a temporary event a week long, let's say. With LiveView, we can drop the portables there and we can be strategic of where we place and we can cover a very large area, and they could be moved around. Because again, we're reliant on seeing the shooter. We can move the camera as necessary to the shooter's location, which gives you that actionable data, who it is you're looking for.

If you have multiple shooters, same thing. We detect those shots and we bounce that camera around to where those shooters are. So, if they continue to shoot and move, we will continue to follow them, and give and provide real-time actionable data. And on top of that, we also naturally have the videos recorded. So, with LiveView, we're bookmarking, we're creating an event, and we're bookmarking that video. We also have the ability with LiveView Technology to do live talk down. So, with the speakers that you offer, we can do live talk down, which can in many cases, act as a delay mechanism. It can introduce confusion to the shooter and it can also add instruction to persons that are on ground of should they shelter in place, where should they go?

And that can be a prerecorded message, an emergency notification for other portables that may not be in the area, but they may be near the area. So, we can provide real-time instruction audible to people that may be near that threat zone. But we can also deter and do that again, live talk down, which is a really good advantage in a feature. And in this slide here, you can see how we operate. So, an obvious question is, okay, how do you do in good conditions? But then even more importantly, how do you do in degraded conditions? So, a lot of vehicles maybe in the area like let's say a parking lot for example, you have a lot of traffic noise. Our artificial intelligence and our neural networks are trained, again, with over 40 years of experience to be able to distinguish what that gunshot looks like. And you can see that here, the signatures, the acoustic signatures that we detect and how we're able to dissect that data and know that that is indeed a muzzle blast and a ballistic as it travels.

Brandon Woolf:

Awesome. Yeah. So, what other parts of the technology do you think you want to highlight? Was there anything else as far as pros of the system?

Rob Oldham:

Yeah. So, the main pro again is maybe just as a little bit of a recap and in case I missed anything. The main is we draw six watts of power. The size of our device is very small, easily deployed, and it can work with as little as one sensor. So, we don't require multiple sensors to be successfully deployed. Another beautiful thing is the way that we initiate our alarms. We're open platform, so obviously with LiveView have an all-in-one solution. But we also have the ability to integrate with other solutions. So, other head-end units, so like computer aided dispatch that law enforcement uses. We send our alerts and our alarms via HTTP. So, we're open standard in regards to that.

One thing that's unique and nice about LiveView and Acoem is the ability we have to be open platform. So, we have the ability to run on multiple camera platforms. So, we're not a proprietary system that we say this is the camera model and brand you have to use. We can work with virtually any open platform solution. So, that's a big thing. And I already mentioned our power draw. Our low power draw for these mobile units is a big game-changer when you're being deployed out at the edge and you don't have power, so we're reliant on solar. And a day like today in Utah where we're at, it's really cloudy and it's rainy, and it could be this way for several days. So, the solar may not provide several weeks, you might have to kick the generator on in some applications. We're, again, pulling very, very low power. So, we're going to help enhance the overall solution.

And one other thing, too, the ability that we offer with LiveView is the support agreements, the warranty, our longevity. Our product was born and bred, being in really nasty environments. Very hot, very cold, very dusty, very dirty and ever-changing environments. So, again, to be able to be moved around and be able to be used in numerous applications is a big game-changer.

Brandon Woolf:

Awesome. Yeah, we love all those features. That's part of the reason why we're partnering just because it just checks all the boxes for us. So, thank you for building a great product. We paint a very pretty picture here. I think to get down a little bit real here, we need to talk about where are some disadvantages? What should people be expecting if they go with the acoustic based? We've all heard of the concussion-based. We've heard of the... I don't know if they call it aggregate, but some do the flash of the gun plus some movement of the bullet in the air. There's other technologies out there. Tell us some of your thoughts around where could the system be tricked.

Rob Oldham:

Yeah, very, very good question, Brandon. So, we know every application's different. And we certainly don't ever claim to be able to defy logic or defy physics. And so, we work very closely as a team, LiveView and Acoem and to understand where these solutions get deployed. We also know that they could be deployed and then moved. So, it may be in one location, in one environment for several months, and then it may be moved somewhere else. And it may be a completely different environment, an area that has a lot of surrounding concrete or brick buildings. So, you get a lot of reverberation, a lot of echoing. And those do create some challenges. And so, the way that we work around that or mitigate are several fold. Our technology is ever learning. So, our AI engine, it has the ability to learn the environment. And that comes in very nice in tough applications.

So, I mentioned areas where you have a lot of echoing. If it's a large open area, we do really well without really any problems at all. But when you get into tight environments with a lot of reverberation, it can become a challenge. And in those cases, we typically want to run for three to six weeks to learn that environment. And we have the ability to record any alarms and train our AI model around that. So, we know that, okay, that's not a gunshot, that's somebody trying to trick our sensor. We've done with LiveView a substantial amount of testing to try and trick or fool the sensor and the AI into thinking that a gunshot, it was a gunshot when it was indeed a car backfire, pallets dropping on the floor, banging boards together. We've even taken large rocks and sticks to the actual mass, to the trailers, the LiveView trailers, and done a lot of banging. And we've done extremely well. In fact, you'll see the report. So, we had zero false positives.

Now, that being said, we're never going to say we're going to be deployed anywhere and have zero false positives because physics come into it. But that's why we have a professional team, we have acoustic engineers, and we have the ability to learn those environments. So, when we get deployed in a tough environment, we will learn that environment. We'll train it against anything that's causing us any issues. So, hopefully that answers that question.

A couple things, too. We have the ability to detect sniper fire far outside that 500 foot radius. We also have the ability to distinguish fireworks from gunshots. And our firework detection is 150 feet out, so it's substantially less than a gunshot for a variety of reasons. Namely that there's not a projectile that's traveling through the air. So, we have the ability to disable the sniper detection and the fire detection, which raises the bar of the accuracy of our technology when it comes to false positives.

We also on our roadmap, have a few new releases that are coming, namely broken glass detection, elevated voice detection, and explosion detection. Now, each of these three applications come with their own challenges because now, especially if you're trying to run all three at the same time. So, these are all things that we take into account and we work very closely together with the LiveView engineering team and the Acoem to make sure that our solutions being deployed in an area where you see the results that you need.

Brandon Woolf:

Awesome. Well, we're super stoked about what we've been able to... we've tested like crazy. We love the technology. We're integrated the technology. We're excited as we're going to market with this combined solution. It's the full solution. You can drop it anywhere you want. Talked about a lot of the benefits and features. We're also excited about the roadmap and how that continues out to be built out. But this is some pretty awesome technology and we're excited to bring it to our potential customers.

Rob Oldham:

Yeah, I just want to add, too. I mean it's been really amazing to see the force multiplication of the two companies together. What LiveView is able to do, whether it's a capital expenditure and we can deploy our solution as a whole, and the end customer owns it, and it's theirs, and then we support it. Or if it's an operation expenditure, so they lease the service. They might only need it for a couple months for a major event or what have you. That's a big game changer as well. So, we have the ability to respond very quickly and push the solution out to the customers that need it. And we're not reliant on power, data, software, servers, all these peripherals that typically can take months to figure out and to get installed. In order to deploy our solution, we can respond and be deployed very quickly and effectively.

And from a pricing perspective, we're very, very competitive. Again, we don't need multiple sensors. We don't charge from the Acoem perspective for our AI and our technology, we don't charge a reoccurring over and over every year fee, which makes it a big differentiator. And the technology continues to get better. We all know that the security industry tech is moving at a very rapid pace, and that rings true at Acoem. We are investing substantially in the solution that we have. And so, we will continue to bring new advancements to the market.

Brandon Woolf:

And I love that you pointed out the mobility of the product and the breadth of use cases. I mean, we've got police forces that are dropping these things where there's a hotspot. And it might only be there for a week and then they move it somewhere else. We've got construction companies, we've got big box retail. I mean the list goes on, and on, and on. Wherever there's a threat potential, schools, et cetera, you can put these out where you need them and then decide to move them if you want to a higher risk area.

Rob Oldham:

Yeah, Brandon, a good case in point, too, we have I think one minute left. So, just to wrap it up. So, I attended a city council meeting of a major US city last week. And I won't name the city, but they presented some data that came from the NICJR, the National Institute of Criminal Justice Reform. And for anybody that wants to Google that, the data's on their website and they've got it broken down for many major cities throughout the US.

And they've done studies on what the cost per shooting, if it's an injury and if it's a homicide, and the cost to a community. And we're just talking from a city perspective. We're not talking if it's a retailer or a school. But the cost per one single homicide in this specific city was $1.6 million. And that's when you break down the costs of everything involved, the police response, the hospital, I mean the people that don't want to go in those areas anymore. I mean it's very vast. And they detail it out, so it's very intriguing to understand. And then the cost per injury is $1.1 million. So, having the ability to do something about it, we can't always stop a shooting, but if we can, again, to how we started out with this presentation, this discussion was, if we can respond quicker and more effectively. So, if we can give you eyes on and use the cameras to move to where that shooter is and give you that intelligible data, and we can potentially save lives.

Brandon Woolf:

Well, thank you, Rob. Great discussion today. I think we do have some Q&A. I'll turn it back over.

David Pearson:

Yes, thank you, Brandon and Rob. We do have some questions that are coming in. And again, if you do have additional questions, we are going to be answering them live here. Rob, Rick wanted to know if we have this information or any of this in Spanish. He has a project in South America that he's working on. He says that this would be a great add-on for it.

Rob Oldham:

Very good question. I don't believe as of right now that we have it in Spanish. Although collectively between Acoem and LiveView, we are working. We have several initiatives in south and Central America. I believe some of what we offer, especially on the LiveView side, we do have it in Spanish. My suggestion on this though is if we could take that one offline and just put us in touch with Rick directly, we will, within a few days we could get everything to you in Spanish. That shouldn't be a problem. I personally speak Spanish, so it's a little rusty, but we could definitely get you squared away.

David Pearson:

Okay. Well, thank you, Rick, for that. So, Russell has a question that just came in wanting to know how do silencers or noise on firearms affect the sensor detection and have you run any tests with that?

Rob Oldham:

And we haven't seen any degradation. So, the silencer or suppressor suppresses the muzzle blast. But in our range of 500 feet, we're very conservative with detecting the muzzle blast. And then outside of that, the ballistic. And like I mentioned before, the ballistic or projectile, we can detect far outside of that 500 foot radius. So, we haven't seen any issues within our stated or specified range with suppressors. We are running some tests later this month and into the first week of September, where we will have a variety of different silencers and different calibers that we will be testing and generating some videos showing those live shots with that. So, keep an eye on our website. The specific website from Acoem, because Acoem has a lot of subsidiaries, a lot of different solutions we provide. But specific to the threat detection, it's just Acoem ATD. So, Alpha, Tango, Delta. So, Acoustic Threat Detection. So, Acoematd.com. And we will have on our YouTube channel and on our website, those videos coming out soon.

David Pearson:

Fantastic. So, we do have another question coming in just about, again, reiterating some of the real world applications for noisy metropolitan areas. So, talk about how this solution would be deployed in say, New York City that just has a high ambient noise.

Rob Oldham:

Yep, that's a really good question. So, when you get into a major city like that, especially where they have high-rise buildings, there obviously is going to be challenges. And I would be the last one. And at Acoem we firmly believe that you purchase this product and the solution, it's got to work. So, we work very closely with our end users and our partners like LiveView to gain a really in-depth understanding of the application. A site survey, especially in an application like that is required. And we offer that. Because you will have reverberation, you will have obstacles that block our ability to detect a ballistic and the muzzle flash in a lot of areas. And sometimes that means you're going to need more sensors. Even we talk about our 500-foot radius. Well, if you have multiple buildings and we're in an alleyway, I'm not probably going to detect the muzzle blast or a ballistic three or four alleys over. It's just not physically possible.

And I mentioned that before, we don't want to claim to defy physics. So, that would be what I would consider an application that we would need to do a ride along and a site survey on. And we help hand-in-hand design the solution from the ground up. If it's an area like a neighborhood, we've lately had a lot of success with smaller police departments in the areas of concern. So, we look at the high-crime areas, areas where they've had a lot of shots fired. We do a survey with the police department and we understand those applications. And a lot of times it's temporary. We deploy a mobile solution with LiveView in those areas and we find who our shooters are. So, again, the tough applications, those will always require a site survey and support from our team to design it.

David Pearson:

Thank you so much. That's a perfect answer. We have a question from Mike really quick. He just wants to know how to get that report. So, Mike, I'll be personally sending that out to everybody immediately after this webinar. So, all people who registered will be getting that report sent directly to them. And then we have time for one final question. It's from William. He wants to know what the timeframe needed for a site survey is. So, if a site survey is determined, how quickly can you get the solution deployed if that site survey is needed?

Rob Oldham:

Yep. So, right now, we're running on a 30-day, typically two weeks to 30 days max to get out on site to do a ride-along and a site survey. And again, that's for the more difficult applications. A lot of times Google Earth and Street View give us a lot of good data, especially to get you budgetary pricing and a design. Google Earth and Street View help a lot. But yeah, typically two weeks to 30 days.

David Pearson:

So, William did provide a little bit of additional information on that. So, he is in New York City. And so, their deployment of the unit, it sounds like would change from day to day. So, how would that work in a case where it's maybe in one New York, busy city street, and then a couple days later, a week later, they move it to another hotspot location?

Rob Oldham:

Yeah, yeah. No, this is a really good question. So, what we typically do, the way I like to explain it, and this is a broad stroke. So, we're a force multiplication factor to having the visual verification. So, if you can see where you want to see, so let's say you have a shooter, we want to be able to see who it was. And we're going to slew to cue the camera to that shooter. So, where you want to try and deploy these, are areas where the camera will have its best opportunity to capture that shooter. And I know it's oftentimes way easier said than done, but that is a general rule of thumb, is if you have line of sight from the camera, you'll certainly have line of sight from our sensor to detect the gunshot. So, in a challenging environment where you have a lot of obstacles, and a lot of buildings, and high rises, and things that could obstruct that view, generally speaking, you're going to need more of this, the LiveView solutions. So, those are things to keep in mind.

You want to try to pick areas where you're going to get that good line of sight with the camera though as best you can. It doesn't mean we're not going to still pick up the gunshot, but the camera will move to where that gunshot came from or where the shooter was. But if there's obstacles and buildings and things in the way, it's going to be a little more difficult to see who that shooter was. Obviously if they keep moving and shooting, we're going to continue to detect and move the camera. So, hopefully that answers the question. I mean, again, it's not a perfect answer because it is kind of a broad stroke, but that's my general rule of thumb is you want to try to get the best line of sight with the camera that you can.

David Pearson:

Fantastic. And thank you all. Thank you, Rob, thank you Brandon, for taking the time to talk with us today. This has been a fantastic presentation. This is a technology that we are really excited about here. We take security, and surveillance, and protection very seriously. And we know for a fact that this is going to save lives and that's what our whole goal is here as a company. If anyone does want to learn more about LiveView Technology, feel free to email us directly or call us, or fill out any of the forms on LVT.com. And we'll also get you in touch with Rob if you are just interested in the Acoustic Threat Detection and just the sensors. And Rob, what's a good email for them to reach you at?

Rob Oldham:

Yeah, yeah, that's a great question. So, my email address is rob.oldham, just like you should see hopefully below my beautiful face here in the video. So, just rob.oldham. And then it's @Acoem. So, that's A-C-O-E-M, Acoem, .com. And yeah, feel free to email me and we can go from there.

‍David Pearson:

Okay. Well, thank you so much. And we thank you all for coming and taking the time out of your busy days to learn with us. Thank you so much and we'll see you at the next webinar.

Rob Oldham:

Thank you. Thanks everybody.