 Hello, Namaste. Greetings to all of you. Welcome to our webinar series. This is our fourth webinar in this last few months. I hope all of you are safe and taking care of yourself and your family. Today we are going to talk about how Lora is changing the low-powered IoT ecosystem of India. It's a very trendy topic these days about how low-powered devices and low-powered communication technologies have come to the market and how solutions have been developed on this. So today we are going to talk about a little history of Lora in India and how the application has been developed using the technology. We are going to talk about various use cases and I have a list of Indian speakers who are going to speak about their experiences and live examples. So before we begin this webinar, I would like to give you a little introduction about Oizong. I know a lot of you are allies and we work together in different projects. But I can see a lot of new faces also and I would take this time and opportunity to help them understand what is Oizong. So Oizong is an environmental IoT company that are offering data-driven environmental solutions for better decision-making. Now using our sensor-based hardcore, we monitor various environmental parameters related to air quality, noise, odour, weather, radiation. We have a global presence in across 10 global cities like Mumbai, London, Tokyo and Istanbul. Our vision is to empower industries with data-driven solutions for better decision-making while keeping environment at our core. And we aim to implement our environmental IoT solutions to 50 major cities by 2020. We are a national 9001 and 14001 certified company and we are very much a part of the Make in India campaign as our products are manufactured in the Amtibak facility in Gujarat. Our products have certifications from C, FCC, ROHS, PTC, RB and SAS. So we developed a simple cost effective and highly scalable solution to cater the problem of air quality in the globe. We have a solution for environmental data monitoring and analytics. So the system is capable to monitor more than 30 different parameters and the data is transmitted to our data analytics platform. These 30 parameters are segmented into dust, gases, odours, noise, radiation and weather. The data platform has features like actionable alerts, insightful reports and predictive analytics. And these alerts can also be integrated to automate various industrial systems. Further, this data can be published on an LED display or TV or a web platform. Now to give a gist of our sensor based CAAQMS that is the continuous ambient air quality measurement monitoring systems. These can measure 30 parameters segmented into particulate matters 1, 2.5 and 10 and 100 microns, gases like socks, knocks, carbon monoxide, ozone, carbon dioxide, odorants like hydrogen sulphide, ammonia, chlorine, formaldehyde and volatile organic compounds. Weather parameters like wind speed, wind direction, rainfall, light intensity, temperature, humidity and pressure, noise levels and radiations. Now the gas sensors they work on the principle of electrochemical sensing and there are other parameters like the odorants which work on PID. Some sensors they work on NDIR that's non dispersive infrared and the particulate matter sensors they work on the laser scattering principle. Our device is communication agnostic. So apart from the GSM, Ethernet and Wi-Fi, our device can communicate using Modbus, Lora and NBRD protocols. So today we are going to focus on one of those use cases later in the webinar. We'll be using the Lora and one of our flagship products. Now what sets us apart and puts us ahead in the market? So our products are, you know, have the same features like real time data transfer and all weather proof enclosure, theft resistant, tamper or vandalism proof, fully compatible with solar power. And it has more than eight different modes of communication. There's a battery backup which lasts up to 72 hours. And in a span of just four years, we are present in more than 300 locations. We are monitoring the data that affects over 10 million people in around 10 global cities and across 10 countries. Our solutions have been widely categorized into urban applications like smart cities, airports, road safety and industrial applications like dust suppression, solid waste and wastewater equipment plants. Our partner first approach makes the applications either B2B2B and B2B2G. Some of our prestigious projects have been with market leaders in real estate, PSUs, global and Indian environmental consultants. And we have been pioneers in contributing towards developing novel solutions like data-driven healthcare actions for residents, which was a classic case at Palava city developed by Lothar. The city management and planning for smart cities like Agra smart city, niche areas such as environmental penalties for airlines at Riyadh airport, efficient order treatment at Kanjurma, Glan, Philsa. We started as an Audi company and we are rapidly moving towards an AI development platform because there's much bigger opportunity out there. Environmental AI is a street-by-street pollution mapping and source detection platform for cities. So imagine you leave your house and there's a map that suggests you to take the pollution-free route. Or when buying an apartment, it tells you how many years it will act in life if you choose to live in that area. So this is all possible with AI. How do we do it? We place our air monitoring network in the city and on the top of the real-time pollution data we integrate secondary data sources like satellite, meteorological, traffic and pollution source inventory. Thereafter we perform a dispersion modelling at a city scale every single hour. The heat map which is shown on your screen is of Delhi where 6.5 lakh data points are predicted every single hour. And a higher resolution that's 100 by 100 meter pollution map is produced real-time. So we are talking about endless possibilities with such execution. Now our flagship products, just to quickly describe Pollutron, the ambient air pollution monitoring system, OtoSense, the ambient odour analyzer, dust droid, the ambient dust monitor and weathercom, the automatic weather station. These are all connected to our OISOM IoT data platform and this data is available in the form of data visualization, analytics and environmental modelling using software platforms. To talk about the data visualization, as I said, there is a data platform which has customizable modules like the dashboard and data analytics platform, the smart modifications, automated reports, environmental budget and pollution heat map. Now in case if the end user doesn't want our software, there are several options by which the data can be accessed. So OISOM provides APIs for integration with customers application. Now also data can be published on TVs or outdoor LEDs and so on. One can trigger the smart modifications and automated reports. There is a mobile app for the data on the phone. We are also working on voice activation. So here this is what I wanted you all guys to know about OISOM. It's a brief introduction about what we do and how we have come across over the years. I thank you for your patience to know about us. Now coming to the topic of the webinar, I will now invite our first guest today, our speaker, Mr. Girish Dalit. So let me introduce you. He is a startup enthusiast and an entrepreneur armed with roughly two decades of entrepreneurship and technology experience. Once co-founder of Britain-based Christ Consulting, Girish has a vast experience of expertise in consulting, software development, data analytics and customer experience management. So he's currently spearheading Laura Van Adoption in India while managing Curling's Indian business as vice president. And he has been previously associated as an ex-CTO for STIGA, ex-co-founder for Christ Consulting, ex-telefonica, orange, fuges and BRC. So with this, I welcome Girish for today. Thank you so much. Over to you, Girish. Thanks, Ayan. Much appreciated. Let me just frame my screen. Hi, everyone. Thanks for having me. So we'll talk about why Laura Van and what we have done over the last few years in the Laura Van industry. So let me just start brief about Curling. Curling has been in India since 2015 and 2016 where we started testing some projects, especially Kakinada with Oizone. And thereafter, we started working on projects with Tata Communications and beyond. So our journey has been very exciting in India. After a couple of years of inception, we opened a test and support lab out of Gurgaon to support Indian customers. Let me take you through a walk on why Laura Van, as a technology, one should, you know, prefer. And there we go. So there we are. So when we talk about Laura Van, we have a lot of other competing technologies like Wi-Fi, RFID, NFC, Bluetooth, ZigBee. All perfectly well maintained in their own ecosystem. They are mad by high speed data volumes, advanced standards for roaming. And then comes the second layer of technology where we call the cellular technology. Of course, all of us have been using cellular for over two decades now. So that's how the technology has really shaped in and they have very good industry proven use cases. What happens when we target on long range low power? There's a niche market for Laura Van to penetrate in a year. So Laura Van is blessed with, you know, high autonomy, low data value, you know, it works. The one of the most beautiful thing of Laura Van, it works in a licensed band. That means you do not have to apply for any licensing or regime or any spectrum option to start your either private or a public Laura Van network. Another more striking thing about Laura Van, it is completely governed by a standard association. That means Laura Van is not a startup industry. We are actually governed by a community called Laura Alliance, where all the participant members, they follow a standard association. So this is, you know, in a nutshell, the Laura Van benefits. Long range, you know, high battery powered, if you, you know, let's talk about water meter example. If you have something on a water meter, it can last up to, you know, up to 10 years, low cost. It supports geolocation without even GPS embedded into it. It has an AES security. It is bi-directional multi usage. It can do, you know, adaptive data rate, which is one of the striking difference between SickFox and Laura Van are competing partners. Then it supports FOTA that is firmware upgrade over there supporting fragmentation and fragmentation. One good thing about Laura Van, it does supports embedded network server. So that means if you want to have something very private, limited to your office, you can adopt Laura Van private network server. And it's an open ecosystem, you know, everyone, including all of you, can be a part of this ecosystem in many aspects. I will probably show in the next slides, you know, what are the different aspects we are talking about. So these are the list of networks we can have, you know, one can have personal networks for developers, enthusiasts, colleges. One can have a public country wide open networks, you know, just like TataCom and, you know, Senra. Then there comes, you know, private networks where industry in different parts of India can have their own private network hooked to a central network. That means they will run in an arm of the private networks across the geography. Then comes the civic network. That's what we're talking about the smart city networks in India, right? You know, subsidized for civic service like smart city lighting, traffic, intelligent traffic monitoring. And then we have smart waste, you know, AQI monitoring, all those kind of things. And the last one what we talk about is an open network. Probably many have not heard about open network, but open network is something, you know, easy to use for developers and startup enthusiasts. So this actually brings us, you know, the different kind of networks one can have within Laura Van. Of course, all of this are free. There's no spectrum. There's no licensing. You can simply buy off the shelf, you know, gateway and a lot of infrastructure from any of the ecosystem players. And there you go. You can start. Now, you know, there's a lot, you know, talk in the market that what opportunities we have for different kind of players. So normally, you know, we try to differentiate these players into, you know, service providers who want to actually run a large or small network across the state, across the city. And then comes, you know, the device makers who really want to augment their device portfolio via, you know, Laura Van devices. So there is huge scope for them to, you know, improve their portfolio in terms of Laura Van system. Then comes, you know, the best of the beauty is the system integrators who are actually our partners to explain that Laura Van is a good TCO when you look on a long-term analytics. And the last one, you know, opportunities we can have is for startups, the AI platforms. They can actually just, Ayan was talking about, you know, the environmental AI. This is one good example of analytics startups that actually can tap into the data of Laura Van and really come out with something, you know, very useful for the community, for the wider base. Now, if I talk about Laura Van in India, public operators actually constitute to the most of the penetration. You know, India has only two public operators, Tata Communications and CENRA. Together they have roughly 100 plus cities covered in Laura Van. So if you are living in any of these 100 cities and you require service of the shelf, you know, you can go and simply buy a connection. It's like just buying it like a pizza. Okay. And the second, you know, concentration of Laura Van is in the private sector market. And as a private sector market, it's a small metering industry is water meters, you know, street lighting and, you know, electricity meters. So these are small, these are small, what you call as private industries where Laura Van is very famous and very used. If you see on my right hand side, you would see the 98% of the network is primarily outdoor in India is a very dense country. You know, indoor densitization is not still done as yet. So, you know, 2% of the, you know, market is roughly indoors. Now, why curling? You know, curling has roughly over 120,000 global institutions and at least more than 11,000 are actually in India. Okay. And we are present in over 75 countries over 335 or customers, roughly 60,000 gateways sold. We actually power India's two largest networks and we power 90% of the EU Laura Van networks. Okay. And we have solutions right from connectivity part, the gateways and actually what you call as the Laura Van servers. There we go. And these are some customer references. So if you talk about the mobile network, we are talking about Tata communications, KPN, Swisscom, Proxima's, Orange entity. Then then they are tower cores or ISPs who actually venturing into Laura Van as in system. Boston networks in the US, you know, Internet of Things, America, VivaComp, Perseverance, Telmar, NetMera, IOT, Scotland, Senra. And then comes the private network, you know, portfolio where we have micro shares, Zenr, World Sensing, Nokia, Bosch and including, you know, places like UNHCR and my devices, smart makers. And the last not, but the device makers, which I was talking about the Legra, the switch maker, Medellina, the water meter, Honeywell and Kurtit. So this is in nutshell, you know, the landscape of curling in India and globally. And, you know, why people do ask us, you know, why we have to switch to Laura Van. I'll give you a certain key points here. One thing of Laura Van is today in India, we are talking about roughly one million collections actually contracted. When I say contracted, it means there are one million devices either peered on contract straight straight to be going live. Just in case of water meter, it is not an overnight job. It takes phase wise, you know, build digging and all those kind of things, you know, it takes two to three years. So we are mature. Second things, you know, our networks to our partners like Senra, Tata, Oizom is penetrated over 100 cities. And then there are roughly, you know, 85 or private networks who are concentrating these things in their own area. And in parallel to that, we are talking about, you know, hospitals, we are talking about airports, street lighting, contract tracing, agriculture, you know, environment, all of this can be achieved under Laura Van. So that's pretty much from me and will be open for your question and answers in a short while. Over to you, Ayan. Thank you, Girish. That was really insightful from you and to start off talking about Laura and how this has been used in India. It was really insightful. Thank you so much for the time, Girish. At this point of time, I would request any all the participants to jot down your questions in the Q&A section so that we can, you know, take a short panel discussion at the end of the webinar. And we will do the Q&A session at the end of all the presentations. You will be getting a video uploaded of this presentation, so rest assured for that. So with this, I would like to call upon my next speaker, Mr. Sohil Patel. Mr. Sohil is the CTO at Oizom. He is an electronics engineer and has over a decade of experience working with IoT products. Prior to Oizom, Sohil was engaged with Google India and Azoi. Sohil's book on OpenCV has been widely accepted as a part of introduction to OpenCV in several university pedagogy. Along with tech development, he has also immensely contributed to developing the maker ecosystem in India and empowered more than 50,000 kids to be AI-ready as a part of Digital India Initiatives. With that, I welcome Mr. Sohil. Sohil, over to you. Sohil, you have to unmute yourself. Yeah, yeah. Can you see my screen? Yeah, you can see it. Please continue. Thank you, Ayan, for the introduction. And thank you, Girish, for giving us a brief introduction about Laura Venn. So basically, at Oizom, we have been developing IoT solutions. And today, we are mainly going to focus on two such use cases in IoT, which is based on the Laura, basically, which we already developed and implemented. One of them is agriculture use case. And the other one is a smart campus. But smart campus, I think my colleague, Jainam, will speak more about it. So let me start with the Agribot, which is basically a device which we developed specifically for agriculture domain. In Agribot, if I tell the name Agribot, it's such a specifically for agriculture parameter monitoring. And in agriculture, when I think we started this project two years back, two and a half years back. And at that time, we have a challenge of solving this problem of getting the data from the farms. So it's definitely a huge challenge. And we were given a problem statement of getting soil moisture data and basically even water level data from the farms. So to start with what we did research and in that research, we found that there are usually farmers do two different kind of crops in the same season or in a year. So some of the crops are dry crops and some of the crops are wet crops. So when we are planning to deploy devices for a whole year, they might need, sometimes they might need to monitor a soil moisture. And after some months and after some time, they also use the same farm to even grow wet crops. So wet crops, as an example, rice is a wet crop, sugarcane is a wet crop, which needs a lot of water on the farm and on the soil. And the dry crops are like potatoes and all. So there you do not need a lot of moisture and a lot of water inside the soil. So when we started at the time, there are no such sensors who can be monitored both the things. And we tried to develop something and we tried to calibrate one of the sensors which can be used as a soil moisture level meter also and which the same sensor can be used for a water level if we dig the sensor above the soil. So that's the first challenge. I think so we figured out to monitor both the things using the same sensor. And apart from that, as we go on, then we see in the farms, there are a lot of crops and different crops have their roots at a different level inside the soils. So even if we dig the sensors and we want to create a single sensor which can be used to monitor all kinds of soil moisture, then we have to design the sensor such that we can place or install this sensor at a different, different heights. So that is the also challenge which we tried to solve with our own design that I'll share in the next slide. And the major, major thing which we found is the network and the battery lines because as we see the farms are like in the very remote areas and in agriculture field, we cannot give a lot of power when you are putting some sensors inside your farm. So for that particular reason, I think in two and a half years back, we were also not aware a lot about the Lora thing. I think it's three years, more than three years. So we just started digging into it and we tried to find out some technology which is a completely low power technology. And using a non rechargeable batteries also, we want to send data points for at least two to three years. And we do not want to replace these batteries as frequent as possible. So we found a Lora is a great, great technology and we can contact it. I think the Tata communication is provided the whole network over there. So using a single Lora gateway network, we could even monitor more than hundreds of farms. So I think that this project is for around 400 devices and we deployed at least this 400 devices in 100 farms. So now let me switch to design. So this is a rough idea which I wanted to say where we developed this design. We have a one base pipe which is fitted first. So this base pipe can be fitted by any farmers or anyone who is there in the farm. And there is a sensor part which is directly putted on the base pipe as in when required. So the base pipe have the marking of the measures of the centimeter and everything. So it depends on the crop root and depends on the crops. You can use this base pipe and fit it at a different different height and the sensor will adjust accordingly. So by using this design, I think so we try we solved almost all the design and the other issues which we want to cater. Now, again, same way the network and the battery part, I think as I told Lora is already solved that part for us. And by using the Lora, we could even send more than 10,000 data points using non rechargeable batteries like three to four cells we used in this device. And using those batteries around 200 milliampere hour is the cell capacity. Using that we could even send more than 10,000 data points and this sensor will last for at least two years, more than two years. So this is a compact design which we created, which is also retrofitted. So anyone can even fit it and anyone can even install it whenever it's needed. Even if you want to remove it, it's really easy to remove from the field and relocate in other places. It's even with the proof. So after, after finishing the first version of the design, I think so we did a pilot of around 20 to 40 devices at the first in five to 10 farms. And with the single Lora gateway and we could able to achieve a good accuracy and good results after that. So in and mostly I'll just go through a photographs. So in and I think we deployed more than 400 devices in somewhere in Tirupati in the farm. Now, let me go back to how we accurately solve using the Lora. So the modules as I just already give you already suggested there's a lot of a network which is available. But definitely in remote areas, we have to deploy our own gateway. So Tata communication deployed their gateway in the remote area where we want to install the devices. And as soon as the device is turned on and I think that this all devices are non switched off devices. So as and whenever you turn on or we just gave a small cheap as soon as you insert the cheap it will directly turned on it will communicate with the gateway. And as soon as it can communicate with the gateway, you can even set the frequency from the software which is given based on the frequency. The device will turn on at every every four hour or 10 hour frequency which you haven't sent and it will turn on it will capture the moisture or it will capture the water level. And it will packet that data and send it to a cloud as soon as the data is available and as soon as the device will receive the acknowledgement, it will go back to sleep mode. So that is the way how we even secure a lot of batteries and we save a lot of battery by using this particular methodology. Initially we started with four hours of data point every four hour the device is sending single data point. But then we realize in the farms, we do not have like the soil is not changing a lot. So then we reduced it somehow and the frequency is around eight hours a day. So every day, mostly we are getting three data points. So now let us come to a conclusion where how and what we did means by using the data. So now I think to be collected more than 400 data points at every eight hours or a four hour interval from around hundreds of farms. So what will be the end goal for the end goal what we achieved is after collecting so much data from the farms. The first thing we tried to do is we tried to put pump we tried to put smart plugs with all the pumps which is there on the farm and those plugs are also mostly on a lot of farms and this pump can be controlled even from the mobile app. So first thing they gave a mobile app to all the farmers and over there the farmers can also control the pump from their homes or wherever they are. And apparently we even tried to control the same pumps using our devices data. So the software can give you a platform where you can set the threshold because different different crooks have a different different life cycle. According to the different life cycle, you have to maintain the moisture level on the soil. So for that we you can even set a daily threshold for every day if you know the crop called rice. So for rice if you need two centimeter for day one after that after 10 days if you need a water level of around three to four centimeter above the soil, then you can even set those threshold. And according to the threshold also we tried to monitor the pump and turn on and off the pumps. So that is also the achievement which we tried to do using the soil moisture and water level data. And by doing this we come to know that we could even save a lot of energy which was going to be wasted if we do not in non non devices applications and even we tried to save a lot of water conservation by using this particular data. So this is the overall idea of the project which we tried to execute using the Agri-Boat. The same Agri-Boat we even tried to place in North Zone where there is a lot of dry soil. So the first device we could build which is for the South India where the soil is more black soil and which is not so hard. But when the same device we tried to use in the North Zone where the soil is we know in North India the soil are really hard. So over there also we got a lot of challenges and because of this and to solve those challenges we modified some design. And again we tried to use the same sensor in the hard soil also and we could even achieve a good accuracy of the soil data. So this is like overall idea about how we use the Agri-Boat, how Agri-Boat is communicated over a lot of when and how we could use this device for at least more than two years in the fields. So now I think over to you Ayyan. Thank you Sohan. That was really great of how you explain the whole use case considering solution as nicely thought of with a very sleek design and using Laura in remote areas. And ultimately helping smart utility companies or conserving water and energy at the end. So thank you so much for your presentation. It was really great. So a part of OISOM we will also be talking about another use case. And for that I will be inviting our next speaker Mr. Janam Mehta. Mr. Janam is the Chief Marketing Officer at OISOM. Janam handles the global marketing and alliances at OISOM. He holds a strong belief that through data even the most complex issues can be resolved. So with so much of global exposure and experience and such a dynamic personality I would invite Janam for the next presentation. So Janam over to you. Thank you so much Ayyan for the brief introduction. And special thanks to Grisha and Sohail for explaining in depth about how the Laura technology is actually changing the low powered ecosystem. Not just in India but also a lot of large clusters. So Sohail rightly mentioned about Agribot and how we have been using Laura power for communicating data over Agribot. In fact Laura has penetrated even on the smart infrastructure space so well that in our flagship product which is Pollywood on the A-Bit Air Quality Monitoring System. We communicate the data from the hardware to the IoT data platform through Laura technologies. And we have had multiple use cases where this technology has been very successful and we have seen great results. So up to I think 12 to 15 parameters are communicated using Laura technology which makes it very efficient and very useful for smart cities especially which is really bringing up. And when we talk about the smart city framework at least I'm very certain in India we have been uploaded globally for the smart city framework that India as a country has built. The bounding are just four key builders that is physical infrastructure, social infrastructure, environment and e-governance. India has done some tremendous work in the past six, seven years in the smart city space. Orism specifically focuses on the environmental factor where we take care of climate change, pollution levels, disaster management and city specific environmental problems. We have since we have seen some great work that has happened in the smart city framework to give you more insight on what exactly happens in the environmental domain of smart city. It is usually monitoring of critical environmental parameters like dust levels, noise, polluting gases mostly due to industrial ambition and vehicular ambitions and meteorological data like wind speed, rainfall, flood monitoring and temperature humidity parameter pressure. This data collected is usually very useful for city planning, city environmental monitoring, understanding the impact of industries on the city. A lot of efficient traffic management has also been done by taking into consideration just environmental data so instead of you know random infrastructure projects being built on highways and taking up you know under bridges. I think a lot of planning now also goes into its environmental impacts even on the long term which I think previously was not that great. And also when it comes to opening new town planning or you know growing urbanization, I think about 33% of the population is now residing in the urban area so I think it is very important for a city authority to plan how they are growing and you know making it a sustainable city. And of course all this comes under the umbrella of citizen healthcare because our main mission is citizen healthcare. Also I have done some exemplary work when it comes to the smart cities domain. We have executed 10 smart cities and have 3 more in the pipeline which are coming soon. Including some of the renowned cities like the spiritual capital of India, Varanasi, the home of Taj Agra, Dandhe Nagar, Eta Nagar, Suran Smart City and we have done a couple of global smart cities as well including Istanbul, Kars and a pilot in Baku in Azerbaijan. One of the most interesting one was Kakinada which was our first smart city and I think that's where our association with curling began. So Gideesh and I met back in 2016 and since then I think Laura went has you know pioneered into coming into the smart infrastructure space. So Kakinada smart city is on the south eastern side, south eastern port of India where we have installed 12 poly drones which measure the environmental level or the environmental health of the city and give real time data. So this solution is sending real time data to a Cisco CKC platform communicating 100% over-dora technology and we have seen real life scenarios, real life use cases of how efficient and how useful this is. And for at least for a global audience, we in fact had a heavy storm hit the eastern side of India a couple of months back and going to the smart environmental sensors that are part of the smart city. The authorities were able to detect this beforehand and take suggestive actions to see what would be the impact and you know they were able to maneuver and take timely decisions to reduce the impact of the storm that we that hit us a couple of months back. Yeah. We had another interesting case study. We have another interesting case study that we had was for Granada so just a second. The university is in Spain and the university is so large with so many students research fellows and professors that it has created a city surrounded across the university campus. So a context for the global for the Indian for the Indian audience here, I mean, you will relate to this quite a lot. So Granada is more like the Vidyanagar of Spain. That's the exact replica. I mean, it's a university to so many different streams and so many interesting avenues happening there. So I'm partnered with Cisco to create an environmental cautious campuses. The campus is filled with so many research fellows and so many research organizations trying to work. So we wanted to understand what is the impact of environmental pollution around the campus and how can we create better healthcare and suggestive actions for the residents there for the students there and the staff overall by taking you know health care actions based on data from the environmental sector. So it's not just the end of it. I think there is much more when it comes to smart infrastructure space. Environmental sensors is just a tip of the iceberg because I know there's several various applications when it comes to smart smart infrastructure and using Laura based technology. In fact, small and critical applications like parking waste management here I think Laura plays a very key role when it comes to using when it comes to implementation on a large scale. And I think with the increasing population and rapid urbanization, the cities are always just going to get larger and larger. So Laura has a key role to play with this is just the beginning of many such projects. So I totally agree with you on your plan when you say that you know one billion data points. I will not be surprised if we surpass that in less than a decade. With that, I would like to end my presentation. Thank you so much for this opportunity and I'd be happy to address the questions at the end of the presentation. Thank you so much. Thank you. It was really great to showcase a very different world that we're talking about in terms of smart city and smart campuses. It was really insightful to see that how Laura has been applied in various applications and how people are getting benefited. So you rightly said at the end of your presentation that you know there are so many other applications talking to smart sensors and many more. And to speak on that, our next speaker, I would like to invite him, Mr. Bridge Kathiria. Mr. Bridge is a director at Trio, a firm he co-founded with an ambitious vision to develop innovative products in the field of automation and robotics. He's immensely contributed to smart city projects in terms of intelligent integrated traffic management systems, waste management systems, smart lighting, to name a few. We are a mechatronics engineer by qualification and a technology enthusiast. Bridge has already a kit of experience to share, which also includes contributions to organizations of Alstom, the field of hydropower and G power in the field of steam power. So with this, I would like to welcome Bridge. Bridge, over to you. Thank you very much, Ayan. And thank you everyone for joining in this webinar. In the previous speaker, Mr. Girish and Sohail has already talked about Laura in depth in the technology sector and the various use cases. And I will start with a brief introduction of Atrio. Atrio is a technological firm offering solution in various data acquisition and remote monitoring system. We have an in-house hardware and software team. We have worked in various smart city projects and in the industries such as textile infrastructure, power and renewable energy. So the today's topic, how Laura is changing the low powered IoT ecosystem in India. I will give you, I will start with two or three use cases. I will start with the one is the level monitoring in Canal and River. So the problem statement is such in a remote location where the canal goes through the various mountains and that location network availability is very rare and it's very difficult to get a continuous network ability at that region. So one is the network. Second is the different nodes, different measurement points will not have a power source also. So that is also telling us a low powered system requirement. So in that, Laura played an important role in monitoring the levels at different location to a radar based sensor and transferring the data through Laura nodes to IoT dashboard, which you can get the levels at different location. So from that in the flood in the rainy season, quick alert generation and prediction of the flow and one more point I want to add like it can also help in local control management. What is this local control management. There's various gates at the canal and in the rivers that need to be monitored and opened as per the level. So we need not have to a centralized control system. We can have a local control system where the sensors radar sensors data can be sent to the gates where itself they will have a Laura node, get the data and automatically the opening and closing of the gate can be performed at a local level. So it helps in that way. So the system just consists of a radar based sensor node which can send the data from the sensors for 20 million gets the input from the sensor and send to the server. And for the power, a solar based power supply is enough because the consumption is not that much of both the sensor and the node. The second use case is industry 4.0. It's been very less use cases in industry 4.0 as of now but in the near time you will see a lot much increment in the uses of Laura in industries because it's a first of all it's a private net we can have an industry can have its own network at their place. All the data of their machine sensors process parameters can be locally monitored. And the third important point is that certain process parameters and nodes which the power supply is not available continuously battery backup nodes can be put it there. Of course Laura and it can send data. So I think industry 4.0 will have will see a lot much of Laura. Giveings to the industry. Basically it will improve the productivity and efficiency of the whole process. The third and the most important. The industry that is being affected by Laura is smart streetlight. The smart streetlight in the previous scenario was there but it was using different technologies in the previous like before five to 10 years. It was ZIGB wired smart lightning plus RF based mesh network. With coming Laura it being very easy in the star network to continuously monitor command control an individual streetlight from a single dashboard. I will just give you one of our project we have using Laura on each nodes for getting the power data of individual streetlight and on off and the important process intelligent scheduling. This intelligent scheduling is like controlling the brightness of the lights as per the requirement because you may have various changing environment you don't have to have 100% brightness at all the level all the time. You need to you can group it if you need to city like you can group the junctions and you can on and off that junction precisely from a single dashboard and not the complete road. So it effectively saves a lot of energy. As per the trials and pilots we have like achieve 3235% of energy saving. For just managing five to six hours of control of the lightning geotagging also like in the smart streetlight from the Laura you can have accurate geotagging from that the maintenance point of view is very easy. Whenever there is a fault in the light you have a single dashboard can find out the light and team can go to that location precisely scheduling. You can also have a data analytics of the power consumption of various light over the period of time different OEMs have different solution the lights they perform in a different scenario. So once you have data of power consumption of different light you can say that from the data like lifespan of the various OEMs and complete solution as a whole one more point is like predictive maintenance. When certain light starts behaving in a different way you can address at a much prior period then it's just the total damage of the light. So benefits as I said the energy saving lower maintenance cost and overall lesser CO2 emission and from a single dashboard we can control the complete lightning. So this is from my side the use case and I would like to add like this Laura would definitely set a benchmark in the IOT infrastructure of India. Various use cases include parking sensors a bean sensors but in India first the infrastructure need to be at that level then the stopping of IOT is required in that kind of infrastructure. Once we achieve that definitely Laura would play an important role in achieving IOT based infrastructure. Thank you very much over to you I am. Thank you so much bridge. It was great to have so many different use cases that you have showcased today with this ladies and gentlemen we come to an end of the presentations but I can see there will be a lot of curiosity amongst the participants and I've been flooded with questions as the sessions were going on. So I would request the fellow speakers to be ready for some of the questions that I'm going to put across to you and I'll start with. Okay, I'll have the first question is for is from Mr. Sagar Patel. He's saying that a security in Laura one beneficiary as only a is is used. Girish would you like to answer this. Yeah. Hi. Thanks Sagar for the question. See, apart from the AES 128 bit encryption is used in Laura van and the devices also have specific security parameters. For example, curling gateways we use proven core as a security system in our gateways for more, you know, clarifications on this you can get back to me and I can share you know the Laura van security parameters data sheet and you know what we have done. From the existing security protection, what additional we have done. Yeah. Thank you. Thank you. Sam Smith says, can you show me a law and device. So we had showcased a few use cases for you to see across. I think that would answer your question. There is one more for Girish. Can you also take inputs from satellite images or soil data for I think so he can also answer this. Yeah. So yes, definitely, we can take a soil data. Okay, so we can definitely take a satellite images for the soil data and we can do a lot of analysis on top of it to measure something but for in particular for moisture I think so we never tried using satellite data. So maybe we more keen to use any sensor which is physically there on the soil. In addition to that, can you use solar power and LiPo battery. Yes, definitely, we can definitely use a solar power and LiPo batteries, but again that that is one challenge in solar also we even tried the same design with the solar panel but in agriculture we know there are a lot of dust around. So the solar panels also need a lot of cleaning on particular every 15 days or every month. So that is why we will not want to go into a solar powered device instead of that we use a Lora network and we want to build a device which can last for 2 to 2.5 years without any maintenance on the fields. Yeah. So Girish quickly can you explain like what is the difference in Lora and Lora one. Okay, so you know this term has been often misunderstood. Lora is just an RF technology so just like cellular you know CDMA Lora is an RF technology where is Lora van is a Mac layer protocol through which we communicate to the multiple through multiple gateways to the you know core network. So that's the primary difference you know and again people ask what is the full form of Lora is primarily very simple long range. Yeah. Nothing technical about it don't get worried don't get bothered with that is very simple. Thank you. We have a question that how is Lora when using agriculture. Could you love it. I think the use case is very self explanatory when you talk about Agribot. So there's another question for you. Does Agribot measure soil temperature? So you have to unmute yourself. Yes, yes. So basically we never try to monitor the soil temperature till now with the sensor but definitely we can put some new sensor which can also monitor the temperature of the soil. Okay. But one more. Yes, please continue. So but one more use case which we tapped is temperature at the different different height because usually the flowers or the some crops need a particular temperature to grow a really good way. So for that we even tried the temperature sensor inside the box of the Agribot and we were even tried to monitor the temperature at the different different height about the soil. So that is also one use case we tried but we never tried soil temperature. We can definitely try out with the new sensor. Okay. In addition to that there's a question that from Parth Ravel is the power in Agribot conserved longer by switching it off or on on frequent basis or because of Laura van technology. So which is it is he's asking whether it is conserved because of switch it on and off or is it because of Laura van that the power is. So both the things required switching and on and off is also required but after switching on if we are on the GSM then then to get a GSM network connectivity in in 30 second or 60 second it consume more than two ampere of the power. So here in Laura van as soon as I switch on the device it in 10 seconds or five seconds I can connect to a gateway I can send the data and go back to off off take. So that is a main reason of a Laura to use a Laura to come to conserve the power. Right. Thanks. There is a question. Have we supplied Laura to master cities. I'm assuming it's for the smart cities we already explained Janam explain about how we have as always on we have done it in smart cities bridge. Would you like to share some examples of smart cities where you have given Laura applications. Yeah like Streetlight is the one of the application in the smart cities that we have given. And other than that there are requirement of parking sensors for the in the cities there are a lot many issues of parking for parking management is a core thing but for the sensor that are battery backed up to five to seven years the ground mound ground installed it's very difficult so Laura when plays a perfect role in this situation in a single gateway can handle a lot many sensors at once. So it will come up as I said first the infrastructure need to be developed this then this IOT topping will work. So India is at stage infrastructure is going you know faster rate. Once this is stabilized. Definitely this data capturing and control devices would play an important role. Great. Agribot seems great where have been implemented from home large farmers or companies. So basically I think Janam can answer this question for how where exactly this has been implemented that was large farmers or companies. So Agribot was a very interesting application as I'll also mention right. The use case was also not just limited to helping the farmers understand the soil moisture levels but also to automate the irrigation. So this was a joint project that was done between Oizong Tata and a smart metering company called Auto Green where the idea was to combine all three of them when all these three companies came together to automate and empower the farmers by having efficient irrigation and watering systems. Okay. Thank you. So this is in the southern part of India where we did is I think around 100 farms around Tirupati. Right. Constance L asks do you have any dashboard data on how traffic management has improved after adopting smart city projects. So basically these smart city projects that they have the command and control center. They have their dashboard and they have the ITMS data coming on to the dashboard bridge. Would you like to add something on this bridge? You have to unmute yourself. No, that's so I think it's been covered in all the talks we have done. So I think that's where they take the insights from the dashboard of the CCC. So another question I think Girish would be answering this. What type of IP is used for networking of such devices? TCP or UDP. This is LoraVan devices. Okay. So from the end node see LoraVan is basically a three structured system. You have end nodes, then you have a LoraVan infrastructure and then thirdly you have an application layer. These are three major bits of it. We're not going too much in technical. So from end nodes to the LoraVan infrastructure, it is Lora RF processing and from there it is TCP IP. Is there any off the shelf solution available for monitoring the health of the transformers for maintenance action? Maybe Sohil, can you answer this? I will take this. Yeah, bridge please. Yeah, currently the transfer monitoring is there for the oil and temperature. There are a lot many companies working on the same. But from Lora perspective it has not seen such implementation as of now currently being used for the M2M GSM network is being used for transformer monitoring. Okay. Girish, I have a couple of them for you. Sagar Sharma asked that do we get any acknowledgement confirmation of delivery if we send data by LoraVan and who provides the gateway or IP to LoraVan? Okay. So the first one. Yes, the data can be sent in acknowledge or non-acknowledge mode. And sorry, I second question is who provides the gateway or the IP to LoraVan? Who provides a gateway or IP to LoraVan? Yeah. So I think we have to explain the whole structure. Yeah. You know, I have not included in my slide deck the protocol stack. I thought it would be too technical and Explain them. Yeah. So primarily if you talk about the gateway, the gateway is purely a packet forwarder. Okay. When the packet comes from end nodes or devices or sensors to the gateway, the gateway acts as a packet forwarder and it does the packet transmission to the application layer. I think in case Sagar, you have some more questions into this and want to understand an explanation on this. You can feel free to write to any of us. Yes. And I think we can take it up in a separate session. Briggs, there is a question specifically for you. The public information systems. Can they communicate through LoraVan? See, it's a PIS system. It's a part of ITMS, intelligent transport management system. And in the PIS system, it's a display where it shows like which bus is coming at what time. It requires a constant connection, a socket connection with the server and it's a lot many of data. So there is advertisement being played. So it's a bigger chunk of data. I think Lora would be useful. But currently a GSM network is the perfect solution for PIS system. Okay. Janum, this is for you. Do we have analyzers for air quality? Somebody has asked for specifically air quality. So when it comes to air quality monitoring systems, there are various working principles. So when we of course offer air quality monitoring, but I think the working principle is not on the analyzer base. But we use more on the sensor based data. So primarily one of the principles that we work on is electrochemical sensing for most of the gases. And this is catering when it comes to dust particles. But I'd be happy to share more details and give an in-depth idea about how we are better and more competitive compared to the conventional analyzer systems. Thank you. You can also visit our website that is www.oizum.com. So you can get to know more on this and you can shoot questions on that. So here's a couple of questions directed to you. How long range do you have in Lora Amos, which band you use in Lora? Pardon me, how long? How long range do we have in Lora? I think trying to ask a question is how long or what is the area that can be covered? Okay. So that depends on a different, different gateways. But then the gateway which they used in our project that have around five to six kilometers of the range. So almost all the sensors getting covered by using in a single gateway. And the second question was? Yeah. So second one I'm asking the question is how range is for movable assets for tracking purpose? How efficient? Maybe even Girish can pitch into this. How is it efficient for somebody has asked for a use case where it is talking about moving assets? Right. So let me add some more data to what Sohil said. Thanks Sohil for that. Let me talk about the uplink. Lora Van, because it's in 868 megahertz band in India, it has very, very good reach. Now, if you're talking about the coverage of Lora Van, whether it's uplink or downlink, it really depends on the RF parameters. But in an open area, you can go up to rural line of sight 10 to 15 kilometers. In some use cases like water meters, there are public PRs. We have received more than 15 kilometers, but I would not like to, you know, boast on that. But in urban city environment like Bombay, Delhi, Bangalore, you know, all those places, because of the densification, we could have something like two to three kilometers. Now, coming to the second question of tracking. Now, this is very good, you know, question I would say now Lora Van is primarily designed as a low power thing. And without GPS, if you want to have a sensor or a device which runs on a five or seven year battery life, you cannot use it every 15 seconds. If you use it every 15 seconds, the whole purpose of a long range battery or a long life battery is dead. Okay, so an outdoor Lora geolocation will be very frank and honest with you. It's an accuracy of 80 to 90 meters. But now with the help of BLE, we are able to do indoor geolocation with, you know, submit a distance. So now what we do is at the end, we combine Lora and BLE together. And that's why I always said all the competing technologies, whether it is Lora, Wi-Fi, we will coexist and we will find out our niche space. We are not here to replace anyone. That's it from me. So there is one question for all the panelists. I think somebody can answer this. What does it mean that Lora-based system? Does it need the local network service provider or it's just a communication hardware built in OSO monitoring system? So if you can answer this. I still can't get the question. The question is that when we talk about Lora-based system, the gentleman or I think the lady is trying to ask is, is it a communication hardware or are we trying to build an application based on Lora in our monitoring system? No, I think all the layer is needed. I think the goodies can also explain, but it's needed everything. So we have a Lora module transfer receiver, which is there in our devices. It also needs a Lora gateway, which can run on a Lora and protocol. And it also needs a software part where you can collect the data, you can transfer the data, you can save the data. So I think everything is needed. It's same like GSM. Like in GSM, we need a phone who have a 4G support. And then you need a tower in your area or a network provider who can provide the GSM network. And there is a need of a company who is managing all the part, which is even a software part. So maybe goodies can also give more to work. This summarizes what we are trying to say that it's the application we base upon on this technology and the use cases that have been shared today are a real life example of what the question asked. So the second, I think we can take one last question and as the time permits, this one is very interesting. I think Janam would be really happy to answer this. A gentleman has asked, how can Lora help forming in Africa? So I think you can answer this better than anyone of us. To give everyone the context, I was born and brought up in Africa. And I think when it comes to adopting Lora technology, I was in fact reading it recently. So there has been a great penetration when it comes to cattle farming in Africa, where they've been using this across large cattle farms. So unlike the urban areas where we have vertical farms, Africa still, they have the luxury of having cattle grazing across large spaces. And there's this very interesting use case where I was reading about, they were using Lora technology for cattle farming and trying to identify up to what range or up to what area they can let the cattle roam around before they put back into the herd. So I think Lora has played, in fact, there was another interesting use case which I think, I was speaking with Benjamin about doing a project in the Sahara desert. I mean, this is remote in the middle of nowhere and where you do not have a lot of connectivity options. But owing to Lora technology, I think even such critical places or remote locations, we have the possibility and the option of using Lora technology for the multiple use cases. Great guys. I think we have over crossed the time limit that we had scheduled for this webinar. Before we conclude, I would like to thank all the expert speakers, Girish, Brij, Sohil and Jainam for your time and presenting it so nicely for our participants today. I hope and I really wish that all of us are taking back something home with all the explanation that has been today in this hour. Thank you for all the questions, the participants. They're really insightful. That really showcases how well the whole webinar has gone and the interest that you have, you guys have taken. Once again, thank you all. Wish you all that you stay safe and stay happy during these tough times. Thank you and keep looking us for our next webinar. Thank you so much. Thank you.