# Exploring On Premise Docked Deployments

- Event: NestGen ’24
- Published: March 5, 2024
- Length: 22:20
- Watch: https://nestgen.org/library/watch/Clv1q6hvfgw/

> The transcript of a recorded NestGen session, for reading or for use with an AI tool. It comes from the video's
> captions; automatic captions can mishear names and terms.

## About this session

Gain insights into how autonomous drones identify hot spots, aiding civil authorities in real-time rescue awareness and relief planning.

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## Transcript

**[0:20]** hello and welcome to yet another session at nesen 2024 hope you're having an amazing Saturday please drop in a message in the chat section and let me know what you do where you're coming from and what do you think about this session during the course of the next 30 minutes we'll be discussing how on- premise drone in the Box deployments are being made possible for rather interesting use case that is monitoring air quality aqi is a pretty common term every year millions of people suffer from lung illnesses caused by PM 2.5 particles it is more important than ever to figure out an Innovative and sustainable solution to measuring air quality in today's session we'll learn how metapas has solved this problem for their region founded in 2016 metapas reev revolutionizes industrial data management by integrating drones for facility inspection and defect analysis across various sectors by combining Advanced Z technology Precision location management and sophisticated computer vision along with cloud-based applications metas is Comm committed to pioneering Solutions such as drone stations realtime device devices and

**[1:25]** autonomous drones aiming to transform traditional data collection analysis and management processes with us today is Calvin Hill the CEO of metas Calvin leads metas and innovator in solar PV inspections and AI Solutions in the industry his journey began in 1995 at LG where he made significant contribution to the CDM technology and standards as a product manager at CK and C CNC he spearheaded the development of a comprehensive location based service platform for major Telecom entities before establishing metas scalin Advanced drone drone commercialization as a visiting researcher at e he holds a master's degree in Mobile communication from Sunan industry uh Sunan University now some housekeeping rules for the audience um if you have any questions for Calvin please use the Q&A tab the right side of your screen and Calvin will address those questions at the end of the session these sessions are being recorded

**[2:26]** and will be shared shared to you over email right after the next if you thought that these sessions about some invaluable insights please don't forget to share them on LinkedIn or Twitter with the hashtag NES genen now before we begin I would like to Express gratitude to our sponsors for their un unfettered support our title sponsors DJ Enterprise and gold sponsor sunflow Labs without any further Ado let's hear it from Calin okay thank you for introduce me did yeah I'm very honored to the speaking this this webinar yeah okay uh hello everyone my name is Kelvin H and I at the CEO of the meta I'm very honored to present at NestGen 24 today yeah the topic I will be presenting today is exploring on premise doctor deployment for air quality monitoring

**[3:31]** through this topic uh I will briefly introduce the project in which meta provided an automated Dr air quality monitoring Solution on on prise basis at the end of the last year first uh let me briefly introduce our metap pass product solution uh here is a metapas metapas is the company that provide the platform and the service using drones in particularly uh we provide the platform to the inspect the P modules of solar power plant uh in the new renewable energy industry using drones to analyze the def and the P modules we used AI engine are developed for finding Def and then managing the visualization Dam we also provide the Drone station and the service using drones such as the wildfire monitorings

**[4:32]** uh this is uh our solution solvid solar power plant PB module inspection solution uh this solution is composed of three modules uh the first one is drone equipped with RK GPS for Imaging solar power plant of course the inspection uh using DJ uh drones is also possible the second uh is the AI engine modules that automatically analyze uh capture the images and localize the location of the defa and finally the third one is a platform module that visualize this data using our GIS system so that the stakeholders can get the inside of their solar plant and next is the Drone station uh we also is uh provide the uh Dr station this drone station is automatically a

**[5:32]** take off and a landing and then also there's automatically a battery exchange picture using the uh robot uh arms is a universal robot arm we be using for the battery changing and also there we can monitoring and control the hold the Drone and then drone stations restly the wild fire Monitoring Service uh this is a that monitor the Press fire every by the mounting uh the Drone station in a specific area or the moving you know in the vehicle is kind of the trucks uh when the smoke is such as the fifier is detected uh The Operators is notified using a uh message it's kind of the uh WhatsApp something like that uh of this point is I have to briefly uh explain our solution

**[6:32]** yeah and next I let talk about the today's main topic is exploring uh on premise doctor deployment for air quality monitoring uh the customer problem was uh there was a a RAR uh cement factory near the b in the rural area so finders and the ultra finders were having a significant impact on the lives of the local resident additionally the many are dump trucks are is a transporting cement from the factory so it's creating the lot of dust also as a result is complaint many complaint about air quality from the local residents continuously so even if the fine dust measurement vehle or drones are used to reserve the Civil complement this is a onetime solution it's not a sustainable solution so more uh fundamental uh solution was

**[7:34]** needed also there is installing the air quality monitoring sensors around the Factory and then V is also expensive and many uh lead to the a not defected areas so that was the problems so so we are uh provide the solution for to solve the those problems so the customers is wanted to the solve these problems at uh optimal cost the customers is conditions requirement is incuding the minimizing the human intervention to reduce the cost and then automatically monitoring air quality in a real time on a regular basis uh being able to the flexibility change at the inspection L depending on the monitoring area also the from the management perspective air quality Monitoring Solutions must be

**[8:35]** integrated to the customers existing uh integrated uh um integrated Management systems that was the very important issues so Point Additionally the the service must be provided as seamlessly uh when the uh new the uh air quality monitoring system is integrated with uh customers uh uh existing system and then we have to provide the Sim service so we are we supplied uh D and then uh enable automatic bright air quality measure and the return return of the Drone solution so you can see the uh our solution is the hexonic Drone station and then you can see there are drone and then uh the air quality measurement sensor is mounted on the front top of the

**[9:35]** drones and the air quality measurement sensor can measure the dust above the pm2.5 Additionally the LT modem is built inside the uh air quality monitoring sensor to transmit the measured data uh to the data collection server also if you are if you look above the you can see the snow is uh that means the uh this solution is worked all well even in the very cold environment is exceeding minus5 Celsius degrees this is a r diagram of the solution uh it shows the simplified version of the uh modules and the linking interface are used in the solution in this project uh d uh you can see there is th station and then on premise Cloud Server and then in

**[10:41]** customers integrated Management System is using the uh customers PPN networks so uh because is due to the customers circumstance uh those Solutions have to be installed on premise at the customer side so there is that was another some very big uh our obstacles to provide a solution because existing Solutions is uh usually based on the cloud basic so the we have to is a uh FL our solution to the customers own uh premise that was the may maybe we need many effort to to do that anyway there is a so the uh also the another one is the this system is have to be uh integrated to the C customer solution existing solution so we are uh developed the a lesle AP API based uh

**[11:46]** integration so PL now is fully support those kind of the uh working and then open the AP B this we are successfully integrate this uh uh system in Integrations so uh why there is customers is want to the integration the their solution uh integ do air quality measurement solution to the their existing solution uh that is the uh they fully want to control and Sly monitoring the this solutions in order for the drawn to begin the flight uh is according to the schedule mission is the operator must give the final approval that is very important so the customer integration control system is automatically check the environmental information such as the rainforce and then wind speed and so

**[12:50]** on so when those conditions are met the system request a final flight permission to The Operators is cell operator cellular phone and then when the operator is received those uh message and then operator can uh apply the uh final permission after that the uh drone can flight begins so the the uh and the finally there is the the when the Drone uh measured is air quality is in real time in that case uh uh the air quality is sent to sent to the collection server and then it's it's displayed on the uh digital signage around the abity so this is the uh rearrange the port is a uh D and then control solution solution is a priy auto and then customer is a Control

**[13:55]** Center and then we are provideed this solution is uh yes customers uh uh problems is uh uh very uh uh effectively yeah we we solve the problems thank you for listening for to the presentation all right kvin I think uh people got a lot to learn about how you know air quality monitoring at scale can be achieved by such a solution um I think now we can move on to questions so I I would request all the audience to share their questions in the Q&A tab so Calvin can take it up so Calvin uh there are already a few questions in the Q&A section so I will uh just pick that up and you can answer them um one question is which sensor was used for air quality sensor like which was the sensor used for air quality monitor it's it's kind of the reg sensor and then uh made by the third party Solutions okay all right so it's a radio sensor

**[15:01]** right okay I hope that answers the question um how has on premise deployment served beneficial for your use case is onr better than an uh cloud-based solution or an air gap solution it says uh is is a I think it's that's the uh it's a choice it's uh it's according uh it's according to this customer circumstance is the our customers is uh some uh govern so is they they write the block their networks from the uh commercial public network so is they they have to install the on premises and then those collecting data have to be U keep their uh uh inside networks so that they choose this on premise Solutions all right um Oscar has asked a question in the chat uh he says because the

**[16:01]** sensor is too close to the Drone does it not generate an error due to the air flow generated by the Drone itself yes there is a good question is the the sensor actually this you can see there bar closely uh connected to this drone and then I think is the airflow airflow is actually there no problem however there is a sensor is too close to the Drone and then sometimes it's a black some GPS signals and then make some uh loes so that was uh little bit make problems so we have to tune T situation got it um there's another question uh saying how has the return on investment been with respect to Conventional methods of air quality and then with respect to drone so I think the uh they want to ask like what is the difference in the return on investment uh actually so we have to the uh make the more reference and then but the currently

**[17:06]** there is when we are using this drone based real time uh uh air quality monitoring is more usable for the we we can uh measure measure and then monitor every point is the is the this resent want to check this here here and then there something like that and then uh we have when we uh installed this res uh uh a iot sensus in that case we have to install a lot of the sensors deployed that was the many make the cost problems and then so so is this drone based is more use very effective solution I think got it um any other questions I would request the audience to put them in the chat or the Q&A section um

**[18:11]** yeah um I think there's another question second yeah I think okay which software you use for air quality monitoring uh sof is nothing special is uh the monitoring sensor is uh correcting measure the uh sense sensing the air quality and then the sensor send the uh measure data through the LTE communication Network to the collecting software this collection software is is a normal just uh our customer side already have the those kind of the uh correcting uh collecting software is any many kind of the

**[19:15]** sensors they uh operate already so kind of the U water water quality something like that and then so to test system is uh correct is uh uh a air quality sensor information also yeah got it I hope that answers question um did you face any regulatory issues during the deployment of this uh system actually there's in cor is regulator is uh is uh is is very similar is BB AR in in the case is we have the the offer operator is control of drone uh control operator have to be a reside in the in the the uh the control center and then we have to the get some uh approval from the uh uh s uh flight flight approval from the government side in that case there's

**[20:20]** no problem all right I think that is it from the questions anything else uh I would request the audience to put them in the Q&A section or yeah we'll just wait for a minute so if there are any more questions um there's a question uh for like how many drones are you using to serve this use case do you think it would be a scal a solution in the future since this is a huge issue in third world countries or developing developed countries yeah actually this the uh this solution is very scalable I mentioned is the when there is complain residance or there is a required

**[21:22]** is measuring point is increased in that case we can uh use this kind of solution is we uh provide the flexible uh yeah Flex flexibly uh we can uh get provide the solutions so so the customers is uh uh thinking thinking there is uh expand this kind of the solution to the another area so we we also there's a that will be uh helpable to the is uh kind of the uh Pro solve the problems actually this in Korea is uh we got many this kind of the Dust the fine dust and Ultra ultra fine dust is came from the uh the uh Factory areas so this there's a lot of the complaint yes is is incouraged yeah