 Thanks everyone for joining us. So this is a little different to what we normally do to our webinars. This is a tech talk, so this is more of a technology focus today. We give a warm welcome to Dirlien who's presenting for us. He's come in from Stony yesterday, so we're pretty lucky to have him here with us in Melbourne. And before we start, I would like to acknowledge the traditional owners and custodians of the land on which we meet today, the Bonnarong People of the Kulin Nation. We also pay more respects to their helpers plus in prison. So we are going to be running a bit of a Q&A. So we'd ask that you use the Q&A at the top of your screen. Avoid using the chat function if you can. And our contact details are at the end. So if there's anything that we don't get to, then we'll get to that for you. It's just a bit on why we run these, just about sharing knowledge and representing education and basically getting a bit of an overview of some of the technology that we represent. And here's a little bit about our guest speaker, who I'll hand over to in just a second. As I said, we want to give him a warm welcome and thank him for joining us. And with that, I'll hand it over. Okay, good afternoon. So my name is Durliang. I represent a manufacturing company from Estonia. This is the European Union. The company is called Laser Diagnostic Instruments. It's a bit of an old company, but the word laser in the name is just a moniker that we have for a long time. In our products, we don't actually have any lasers. So laser diagnostic instruments, we produce the ROW, the Remote Optical Watcher, early detection system for oil and water. It is an industrial and environmental monitoring system for the detection of oil spills, which could be large or small. Okay, so a little bit about our company background. About 30 years ago, we started the company. It's been around for a while. It actually drew its name or drew its time from some of the old Soviet technologies. The LDI was previously an expertise or a manufacturer of LiDAR technologies. These are large airborne instruments that you would put on ships or airplanes to scan for particles in the air. That was the original product of how we got our name and purpose. In the last 12 years, we've completely went in a separate direction with our product, the ROW. And now we make the small product, the small sensor for the purposes of industry and environmental monitoring. A little bit about our company. We are located in Estonia. Estonia is a small Baltic country located in the northwest corner of Europe. We are in the Eurozone. We are in NATO, so there's no worries about Russian invasion. And we keep friendly relationships with Russia for commercial purposes. But of course, the situation is quite tense at the moment. The population of Estonia is around 1.3, 1.28 million. So it's a tiny little country. The only export for Estonia is IT technology and IT solutions. LDI is actually one of the very few companies that exports a sensor, a physical product to the rest of the world. And as a company, we are a research and development company. We make our own products, design our own solutions. And we also manufacture the ROW sensor, which we export around the world. The business model for our company is that we work with local distributors from around the world. So here in Australia, we work with Hydrotera and other companies from other parts of the world, all over the world. And they help us market and distribute the sensor to relevant end customers who need our sensor. So the remote optical watcher. It's a non-contact instrument that uses fluorescence technology or UV fluorescence as the basis or the guiding principle. If you imagine the camera on your mobile phone, on your smartphone, the flash, the little LED flash that's attached to the front of the camera. That is the size of the LED that we use for our technology. So it's very small. It's very low power. The system uses about 1.6, 1.7 watts at continuous monitoring. So it's a very efficient system for usage. So the principle behind it is using UV excitation and emissions. And this is the same technology that you would use in an analyzer. It's just that we've configured it so that it works as a non-contact sensor in the field. So if you imagine the ROW sensor, it has a range of up to 10 meters. So you can put it 10 meters or up to 10 meters or around 33 feet above the surface of the water. It's continuously beaming down a pulse UV light onto the surface. And if you get an oil spill or if it detects a level of fluorescence higher than what the normal water fluorescence is, then you can have an emissions. And our sensor is broadcast at a specific wavelength. That's a proprietary wavelength that we use to detect this hydrocarbon or hydrocarbons. And once you get this emissions, you can send out an alert. So it does this in real time. The frequency of the monitoring is actually around 20 to 30 times per second. So in fact, it takes an average of that number. And it's the software that's actually the lagging part. When you connect this to a continuous monitoring device like a data logger, you basically get one reading per second. So we have the technology, it comes in different enclosures. So the optics, the outputs, the power requirements are the same throughout. It's just that we swap out the enclosures given as the environment demands. So the aluminum model, this is our base model, it uses a aluminum enclosure and the majority of our sales are for this base model. We have the stainless steel and this is for offshore or ports or any environment with corrosive gases or corrosive air. So it could be saltwater, it could be marine. We have this installed on buoys, we have this installed on different platforms out in the middle of the sea. And then lastly, we have a Atex or zone one certified enclosure. This is completely certified for zone one or by DNB. So this is the Norwegian certification company, it's third party certified. So it should be recognized everywhere in the world, including in Australia. And this is what you would use for if a customer demands it in the oil and gas sector. So the analog outputs and the various outputs for the instruments. It has three outputs. All of our instruments have three outputs. One is the basic relay. Another one is Modbus. And of course we have the analog output. And all of these outputs you can connect it to third party loggers or third party alarm systems as you see fit, or you could connect all of them together. So this allows you to network multiple sensors in a single network and be able to monitor all your instruments on a one network and one monitoring output or monitoring screen. So why is our technology used for, why is it being used? When you think about oil spills, you think about the oil and gas industry. Originally our focus was on ports, but with the oil and gas industry that became a much more predominant industry. Of course, in that time we diversified our portfolio in different targets. But it all comes down to reducing the amount of damage, reducing loss, the costs, and downtime. Imagine if you can continuously monitor your water, your sump pits, or your settling ponds, or your reservoirs, and be able to monitor in real time if there is a spreading oil spill. You be able to respond quickly, you be able to respond efficiently and effectively, and therefore you reduce what could be a catastrophic oil spill into something that is manageable. And that is the gist, that is the whole reason why our technology is being used. When we, when LDI started marketing the ROW sensor back in 2012, 2013, the idea was, we had the idea of marketing it to ports. And that was the grand idea that was where we thought the main market would be. And for a few years, we sold many devices to the ports in Eastern Europe. They had regulations back then, and they still do, whereby they needed to monitor the solutions or from the accidental spills of bilge water or or cargo water that large container ships and cargo ships would discharge into the ports. So imagine if you have a large port in Riga or in Singapore or wherever on the coastline, you have ships coming in and out all the time, 24-7. You don't know what is happening with each ship, whether they're discharging either by accident or intentionally, their bilge water into the harbor, which could contain oily water. And the idea is that if you could catch the perpetrators or the polluters in real time and respond within the first few minutes or hour, you'd be able to catch the polluters before they set sail the next morning. That was the idea. And that was one of the earlier marketing strategies that we had. Fast forward a few years, we've completely diversified our portfolio of applications for the RLW. Now, most of our customers or most of the end users are in industry. So it's either municipal governments who would use our technologies to monitor the incoming wastewater. The wastewater could be from residential. It could be from industry. And they want to monitor the wastewater for oils and for oil spills because it's an effort to protect the wastewater treatment plants. Imagine if you're using membrane technology at the wastewater treatment plant or if you're using sand filters. If an oil spill were to come in, it would completely wreck the system. I mean, it could handle a certain degree, but if you have a big enough oil spill, it would overwhelm the oil in the wastewater treatment system. Conversely, industry. If an industry such as a steel mill or any kind of mill or any kind of manufacturing that uses water as a medium, either as a process medium, or as a cooling system or cooling medium, then they would discharge the wastewater into the environment. They would, of course, try to process that water as much as possible before they discharge. And if they're using, say, cutting oils or lubricant oils or any kind of cooling oils that could leak into this wastewater, then they want to be able to monitor it right at the edge of their plant before the water exits their property. And this is mainly for liability reasons whereby if there is an oil spill where all the water is diverging or converging into the municipal line or municipal canal, an industry with our technology, with our sensor, could be able to safely say the oil spill did not come from us. It must have come from somewhere else. So in relation to the industry, we have several, many different types of industries. Here in Japan we have one for chemical, they manufacture chemicals, ink. They had an incident whereby there was an oil spill that went into the residential or into the municipal wastewater treatment plants. Because the same water halfway came from residents and from industry, they couldn't tell where the source of the oil spill came from. So that's why they installed one of our sensors right at the process water discharge so that they can be able to safely say as a liability purpose that the oil spill did not come from them. Each country has their own regulations. In a country like Peru, they collect all their storm water and rain water that's collected along the freeway during construction and during the rainy season and they monitor the water that way. So each country has their own regulations and therefore we find different niches in each country whereby our technology would be useful. Power plants. So one of the things that we really discovered as we continue to market our ROW sensor was that there was a significant market in the power plant industries. And these power generation plants, they can be, they can be just about any type of generation so long as they use water as a medium. So in the pictures we have one in Poland. This is a hydro, this is a, what is the thermal electric power plants. So they use water as a cooling medium and as a turning medium for their turbines. Conversely in South Korea, this is a full on hydroelectric plants, where they use water as a medium. And in both cases, what they're doing is that they're using the ROW to monitor for turbine oil leaks. And the idea is that if you have water coming in from an outside source, it should be clean water of course, and then any water that's discharged should also be clean. And in that in-between process, if there is a leak from your machines or turbines, they want to be able to monitor that in real time so that if there is a leak, they can schedule the proper maintenance protocols. For the machinery in question. So this is an indirect way to monitor the health of a more expensive piece of equipment. And what we found was that with this marketing strategy and with this application, it was much more receptive to this particular industry to our sensor because it actually added value to these industries. They wanted to be able to monitor a very expensive piece of equipment, such as a turbine, such as the machinery in real time, and be able to do preventative maintenance as it is required. We have some interesting applications with customers that you normally don't expect to monitor for oil spills and oil leaks. So in this picture, we have a beverage company. It's Coca-Cola. It's a Coca-Cola bottling plant in summer in Spain, in Madrid. And if you imagined a Coca-Cola bottling plant, they produce their product, they use water of course, and it's not so much about oil in the product, but it's all about the process itself and about the size of the property. So in a bottling plant, it's a constant network of traffic, trucks coming in and out for delivery of a product, whether it's trucks coming in and bringing in bottles, products, or shipping them out from the factory. So you could imagine the size of this area. The rainwater gets collected around this large plant and why they want to monitor is that they want to monitor all of the wastewater, all of the rainwater, all of the processed water that gets collected and then exits their plant. So that's why we have in this picture the ROW sensor. It's right at the edge of their plants. That's why they have a wireless connection and off-grid power supply. And they're monitoring for any water or oil spills that may happen, whether from a truck or from motors or from machinery, before it exits into the environment, into the local wastewater treatment plants. So this is one of the unique applications that we have. It just shows you how diverse our application portfolio is, and you shouldn't be thinking, oh, it's only an oil and gas or it's only imports. You should look at it as a holistic solution to many different industries. So another case study. This is the Google Maps bird's eye view of Heathrow International Airport. And we have an installation there at a balancing reservoir. So, if you imagine the size of Heathrow airports, I think there's five terminals, and they have tank farms for jet fuel, they have vehicles, trucks. They have the process water from the facilities themselves. So it's the size of a small town or a small city, basically. And all the rainwater is collected. It's being discharged into this balancing reservoir. It's basically a settling pond. And then this water then goes onwards into the municipal wastewater treatment plants downstream in Heathrow. So as a property manager, environmental manager for the entire airports, they want to monitor all of the wastewater or the runoff water that's going into the environment. And of course, it comes down to this one point that you see on the map illustrated by the red arrow. This is the installation point right there. They wanted to trial this ROW sensor for a few months to see if it works, to see if it actually works as advertised. And so that's the installation there. It's using one of our models for light fractions. So this is specifically tailored to detect jet fuel. You can do a runoff or diesel or any kind of motor oils that may happen at an airport. So in this case, they're using an off-grid power pack, a battery pack with an online data logger. And just after about three weeks after they installed it, they actually had an oil spill event. And it was detected. So the date, the timestamp was around the October 21st of last year between three and four PM. And we see that because of two things. First, everything was logged. So all the data was logged. What you see here is from the data logger that was used. This is an online data logger. And basically the data that you see is for one week or for one week. No, for two weeks. This is a two-week span of data. And basically what you see is that you have the background. So everything at around 3,000, between three and 6,000, the signal is the background. And you see from the runoff, whether it's leaves or ripples in the water or the rain or whatnot. So this is all background that's filtered out below the alarm threshold. On the bottom axis, so the bottom axis, that's two weeks of monitoring. So it's monitoring every second for two weeks. So that's the graph. And then on the y-axis, this is your fluorescence intensity. This is what the instrument is seeing in real time and how it relates to background and on the oil spill. What so happens that on that particular day, October 21st, we see a huge spike in the fluorescence intensity, and it was correlated with an alarm event. So this is all logged. There's a camera. It's all recorded. And it so happened to be a CCTV camera installed at that location, looking over into the pond. And it's taken, it takes a still shot every hour. And of course, at that time at around four o'clock in the afternoon on October 21st, there was an oil spill event. And the scene in the water, and that correlates directly with the approximate time of when the alarm trigger from the RLW happened. So this illustrates indeed that the sensor was working, that it indeed caught the oil spill, and it sent out the alarm, and it's up to the local authorities or environmental manager to deal with the oil spill as they see fit. Just as a point of reference, this blue cable right here, that is the location of the sensor relative to the spill. So with our sensor, it's a non-contact sensor. The closures allow it to be used in various environmental conditions, whether it's zone one or corrosive or offshore. And some of our distributors, some of our distributors have come up with very ingenious solutions of how to deploy our sensor. Some distributors, such as in the UK or in Spain or in South Korea, they produce different platforms, namely buoys or offshore monitoring platforms. They could have a host of sensors on it, and then they could also have our RLW sensor. So in the case of this photo on the left, this is a installation in the United Arab Emirates. This is for a desalination plant. And the idea behind it is that if you imagine Dubai, it's a coastal city. It's in an area where there is high tanker traffic or oil. So oil is being shipped constantly in tankers along the region. And then you have onshore a desalination plant. So what it does is it takes seawater, of course, intakes, and desalinate it. But this process requires that the seawater not be contaminated by oil. And the idea is that with this application, they have six of these buoys surrounding the plant, surrounding the intake area. Each equipped with one of our RLW sensors to detect the incoming oil spills if it happens into the plant. The idea is that if they could have early warning to any oil spills that may happen from the sea that's coming in, they could shut down the intake or deploy countermeasures to soak up the oil. So this is a preventative measure basically protecting the desalination plant. Likewise, you have installations on a smaller scale on municipalities, lakes and rivers and ponds where they use our RLW in this matter where they monitor the oil spills that could be happening into these waterways. And it just shows you that our RLW is designed to be all weatherproof. You don't need to have additional protection or any additional covers for the instrument itself. The instrument is IP68. Even if it were to fall into the water, it's rated for around six or seven hours. So you can fish it out if it does fall into the water. And it's all weatherproof. So whether it's, we had it tested in Norway or in Sweden in the wintertime, the Stonia gets pretty cold of course minus 20 in the wintertime, ice and snow. And we also tested it in the Middle East under salination conditions in the tropical heat. So whichever environment that you have it, the RLW is meant for that, can survive those environments. So this just gives you an overview of the types of industries we focus on. I mean, originally we were focused in ports, but now we completely diversify into manufacturing and the power and the wastewater. And the idea behind ports, I mean, that's still a viable target for our sensor, but now we diversified into airports. And there's not much difference. I mean, whether it's a port or an airport, I mean, it's still the same thing. You have oil, you have potential for a leak on site, and you want that kind of 24-7 monitoring for that purpose. Okay, I think that's it. I welcome your questions. If you have any anything else, please, please ask. So look at the question. Okay, if you have any questions, if you've got anything immediate. If there's no questions that come through, as I said at the start, our contact details are there, so please send them through and we will consult with Deryn to get back to you on it. Okay. Well, in the meantime, what I could do is show you the demonstration that we have set up on the conference table here. And just stop sharing. So I think you can stop sharing and then I will share. Oh, is it really better than knowledge? What is it looking at? Yeah, yes. We're talking to the camera. Yeah, but is it looking at the camera? Is this is the screen? What's going on? Yeah, what's being broadcast? We're broadcasting that. Or maybe you have to take, yeah, right now it's the icon. Yeah, can you say this outside? Can we pin the camera? It sounds. No, it isn't pin there. Yeah, yeah. Okay, so this is what it's broadcasting. So this is the instrument right here, the RLW sensor. I have it set up on a tripod. And as you can see, I have a business card. Well, you should be able to see that. So you can see the fluorescence zooming down on this glass. And it's just a normal glassware with some water in it. And the cloth underneath is just the camera case. Just to serve as a background. So the sensor, I mean, it's, it's quite small. It's about the size of my forearm. You have the cable coming out. And this cable provides telemetry. It also provides the power. So the input power is approximately. 12 to 24 volts. So you can run this off a standard car battery. If you want off grid solutions, you can easily run this off a solar panel in a battery setup. What else? The connectors. So one example of a connector, this is, this is a blinking light. This is a relay. So this is connected directly to the relay and it should blink. If it sees oil. And you could also connect it to a multimeter and whichever third party data logger you have, that's also compatible. The final connection is with the Modbus. If you have any third party data loggers via Modbus, a digital connection, you could also program that and it can, you can then change the settings in real time or log the data as you need it. So that is the setup. We have some canola oil here. Regular cooking canola oil. So, so this is the software. What the instruments, what the RLW is looking at, and it's connected to my laptop, running the LDI configuration software. And so what we can do is turn this on to log. Okay. So at the center of the software, we have a graph. So the graph right now is it working? It is indeed working. So on the X axis at the bottom of this graph, we have time or measurements. So it's continuously monitoring. It's continuously looking at what capturing, what the RLW sensor is looking at. Right now the RLW sensor is looking into this glass. And let me just clear the screen again. So it's looking into this glass. And at the top here, you have this signal. So this is the signal coming from the glass with the water, with this camera cloth or this cloth at the base of the table. And you're getting a signal of around 6,700. Consider that your baseline, that's your baseline signal. Consider that say your sump pit or the water. Usually it's never such a straight line. If you imagine a sump pit, you could have flushing, you could have water being pooled in, you could have discharge. So it's never really a straight line. Right now I just have the line zoomed out. So on the Y axis, you have the fluorescence intensity. These are arbitrary numbers. And basically the signal increases and decreases depending on the fluorescence. Next we have these two dotted lines. So the first is this green dotted line in the bottom, green dotted line in the bottom, and then another red dotted line at the top. So this area, this blue area, that is your alarm zone. Whenever the signal enters into this alarm zone, it will generate an alarm. And of course, as the user, you can dictate how sensitive you want the instruments, whether you want it to block out certain ranges or if you want it to make it less sensitive or more sensitive. It really depends on your specific application. So let's pour some oil into this glass, see what happens. Okay, so the response was quite immediate. The screen is blocking the way, but... So we're going to move it. Yeah, you should be able to drag it across. Yeah. Okay. So you see that the signal increase, the amount of this is now... Well, the first thing you see is that this is now red. So the alarm has been triggered. On the table, the blinking light, I don't know if you can see that. We should be able to see that. The alarm has been triggered. So that's a visual indication of the alarm. The signal has increased. So right now it's looking at around 13,000 signal fluorescence. And it's stable because there's no movement. It's just a sheen of oil in the glass. And basically you trigger the alarm. So it's a very simple concept. The intensity of the signal depends on the amount of oil. Eventually it hits a plateau. So if I add more oil, just let it settle. Okay. So that's the... If I add more oil, you get this initial burst, but then it just plateaus at the same amount, which suggests that for this particular vegetable oil, this canola oil, the maximum signal is around 13,500. So each oil is going to react differently, depending on the type of oil, the fluorescence strength. And something like diesel, for example, you could get a signal of up to 40,000, 45,000, 50,000. Something like gear oil or mineral oil from turbines or from lubricant oil, you're going to get the same thing, 50,000, 30,000. Vegetable oil is on the lower end. And then crude oil could be, it depends on the type of crude oil. There is light crude oil, medium heavy crude oil. So it's going to vary from crude oil to crude oil. So the intensity is going to be based on the type of oil and the amount of oil under the sensor. And as you can see, the reaction is fairly instantaneous. In this particular example, the delay, the alarm delay is one second. So you get a reaction delay of about one second. But the sensor is continuously monitoring, and it's taking the average out of 20 measurements in every second. So it's basically real-time monitoring of the sensor. This is correct, right? If I want to measure analog, should they? Back out multimeter, that's in many years. Let's try the analog. So on the multimeter, it's reading. What is it reading? Seven points. 7.3. So 7.3 milliamps. The thing with the multimeter is that you need to program it for scaling purposes. So right now, if you're looking at the advanced parameters at this small corner here, the advanced parameters say that the multimeter range is between 11,000 and 20,000. You may have to scale that accordingly to make it boost higher multimeter value. So one of the popular ways that industry has used our sensor is to connect it with their analog data loggers. And you can easily scale your PLC to multiple alarm levels. So you could say have four milliamps as your baseline. You increase that to 10 milliamps as a medium range, medium oil spill between 10 and 16 as your medium, four to 10 as your log, and then from 16 to 20 milliamps as your high oil spill. So it levels up accordingly, depending on how you scale your milliamp meter. So yeah, that's the main idea of using our sensor. It's used in real time. You could use it in multiple different environments. However, a complicated or however harsh your environment is, we have installations in the Middle East all the way to the Arctic and everything in between where the sensor is compatible with multiple PLCs and third party hardware and software. So you just need to decide how you want to use it. And basically everything you need with the sensor itself, it's the sensor and the controller together. You don't have to juggle the separate entities. If you want just this sensor to be connected to your relay or to even an oil skimmer, that can be done as well. And you let the algorithm handle all the processing in the data. So yeah, I welcome your questions. We have various references. We have various customers and types of customers from around the world. So there's most likely an application that we've delved in before and we welcome your questions. And we also welcome new applications if there is an industry that would be interested in our oil sensor for their particular industry. We also love to talk about it, maybe explore the possibilities. I was in a trade show exhibition in Canada and basically every second question was about using our sensor in monitoring boreholes or well water to look at oil spills in that. And in that case, it really depends on how you use it. Because yes, the beauty about non-contact sensor is that you can move the sensor. You can move it from one borehole to the other. But if you're monitoring it just for one hour or a couple of hours, the ROW sensor relies on making changes. It relies on the change in environment or change in the water that it's monitoring to happen in order to see anything. So right now, I mean, I've been talking for the last three minutes and the sensor is looking into this glass with oil. And basically after a few minutes, after three minutes, you get a flat line. So if you're monitoring a borehole for one hour or two hours and you expect to get a result, unless something changes, you're basically going to get a flat line. But that doesn't mean it's not working. It does work. It's just that if there's no change, then you're not going to see any change. Okay. I think I've covered everything. All right, fantastic. Questions from this audience or from the online audience? I welcome those questions. What's the longest you've had? What are these deployed at a site? So you can run so long and it has power six or seven years. Yeah. The only consumable or the only part that needs to be refurbished would be the LED. So the LED, which is the source of the UV lights, it has about five years. According to that manufacturer's description, and then we have to swap out the LED for another five years. Now, that doesn't mean that at five years, the LED is going to stop working. It's just that it will degrade around that time. So you have to swap it out. And then you get another five years of service on it. Do you find you ever have to claim the lens on them? When it's out in the environment. So depending on the environments, the only part that would be exposed that you really need to clean would be the lens. And that would be as easy as using a cloth or clean cloth. And wiping the lens every so often if you need it. So let me go back to the regular camera. So the sensor that you see, the parts that you see now, this is the sensor and the controller. Now, if you go to our website or if you look at any of our brochures, you will notice that this orange system, it has a extended part. And that extended tube, it's basically a metal tube. It's an aluminum tube. It's just an extension that we put there. And we call it the sun shield. And that serves two purposes. It serves to a blockout ambient light. So there's direct sunlight. You don't want it to hit the sensor. So it blocks that out. And it also protects the lens. So the lens is underneath, it's where you can see the LED. And the lens is just right here. And it is a camera lens. So that if you have, say, spider webs or bugs or any other debris that's blocking the lens, then that negates the effect of the instrument. It blocks the instrument. But you want to be able to clean it every so often or at least check on it that it's indeed not obstructed. That's about the only maintenance that you have to do. Or it's not even maintenance. It's mostly checking that the sensor is still operating. You can do that remotely. You could connect, you could look at the data. And if there's a drop in the signal, that means there's something blocking the sensor. And then you want to be able to clear that up. But if everything is moving correctly, it's still logging the data, then nothing is wrong. And you can continue to use it. We've had installations. For example, we had one installation in the, in the Sonya. There was a test trial. This was placed on one of our buoys. And in the wintertime you have sea spray. You have waves coming in. And there was one time where the entire bottom part was just blocked with ice. I don't know if you get ice forms in, in Australia, but that blocked the sensor. I mean, it's still working. The sensor is still working. It's just that because you blocked it, you're getting a reading of zero. So with the, with the installation, I mean, everything that you need to control is from this cable. The most difficult part with operating this ROW sensor is actually at the beginning, you have to set up parts where you have to position it in a way where that the sensor is looking into the water. It's as line of sight to the water. And that it is properly connected, powered and mounted. After that is done. Everything else is can be controlled by either Modbus or using our software to make adjustments. So the, the sensor itself has a TCP connection. That could be using our software or Modbus. And that means that if you connect it and install it in a remote area, like if this was offshore somewhere, you can be in your office in Melbourne programming and adjusting the sensor as needed. So long as all the connections in between are properly done and protected, you can make setting changes and parameter changes from your office and saving it to the sensor. And it will continue to work remotely. You just have to log the data. Yeah. Yeah. So that concludes everything. But I welcome your questions and when we get them. Thanks everyone for joining us. That's been really informative. Thank you. Thanks to laser diagnostic insurance. And please send through any questions. Glad to answer.