#058 – Intel’s Drone Ecosystem with Anil Nanduri

In Podcast by Ian Smith


Intel is a global, multi-billion dollar public company and they have their hands in all areas of technology. As a legacy Silicon Valley juggernaut, they’ve found that innovation is key to survival.

Anil Nanduri, GM of the Drone Group at Intel, joins Ian to explain Intel’s strategy around drones. From acquiring a multirotor manufacturer (Ascending-Technologies), a fixed-wing manufacturer (Mavinci), a computer vision chip manufacturer (Movidius), making their own entertainment drones, and even creating impressive technology like RealSense—Intel knows more than anyone how important it is to diversify and create a thriving drone ecosystem.


Ian Smith: [00:00:18] Ian Smith Here I am sitting at Drone World Expo in San Jose, California. With us is Anil Nanduri the V.P. of the New Technology Group and GM of the Drone Group at Intel.

Ian Smith: [00:00:31] So very big welcome to the podcast. Anil, thank you so much for joining us.

Ian Smith: [00:00:38] So Intel has been a company I’ve really been trying to get on the podcast for a while so really appreciate the whole cooperation from the company to help make this happen and of course drone world expo for helping us set this up. So before we really get into it I mean you guys are doing like a full blown full stack of drone technology and autonomous IoT kind of software and everything but before we get into that and kind of dissecting if you will Intel’s own ecosystem could you to tell us a little bit about yourself.

Ian Smith: [00:01:09] So how did you get in this position and when did you start the drone group? Tell us about how you kind of got here at this drone show and where this kind of came from at Intel.

Anil Nanduri: [00:01:21] That’s great. I mean first of all I think we should talk about Intel as a chip company or are we doing in drones. I’m sure that’s a question on everybody’s minds. For me personally I come from a technology background engineer electrical engineer and did my masters and looked at Intel for over 20 years and I started as a chip designer. Believe it or not and then move towards different aspects of working towards the laptop industry. And I’m not sure if you ever heard of Centrino. It’s the first time wireless became very popular. Of course I was part of the core team that enabled that with all the OEM manufacturers like Dell had to be in all of them who are building those systems so on a worldwide scale that was some of the work that my team had done. From a technical enabling side and then move on to get got a good handle on how business works within Intel and mooed different roles over time. And as they continue to work in the PC market became more mature and looked at and saying okay like to try something new we had depth sensing cameras called real sense technology and that’s the group more like a startup inside Intel. We are trying to get that to be deployed into PCs and tablets. And I was in charge of the market development as well as the marketing for that and. The applications for it sought to be like they can be more than PCs that can use this and robotics and IoT devices. Drones was kind of what started the fascination. Where else can we use these. And that’s very my interest on drones to be very honest. I don’t come from an aviation background but being an engineer at heart and curious was very very curious on how this worked.

Anil Nanduri: [00:03:13] Because I flied a model airplane and a model helicopter as a kid never worked. It was more depressing. You know you build it all took two days and then you say let me put it up in the sky. The first thing it does is crash here. Wait. I spent all this money and I couldn’t get it to fly or did I do wrong. And then when the first time I flew a drone just like wait there the controls and you just leave it in the air and it just stays there. It’s like wow it’s like OK give me a chance to learn. And so I got excited about it. That’s how I started with drawings. And believe it or not does a company sending technologies that we partnered with. I literally walked one day in Munich. I was there I knocked on their door and said Hey I have this technology called real science technology. You guys do drawings.

Anil Nanduri: [00:04:06] Is there something that we could make this work and do collision avoidance is really the beginning of the story were you just kind of cold like walked up literally.

Anil Nanduri: [00:04:17] There was an e-mail exchange but then I just went over to their office and cradling and said Hey we’d love to chat. And they didn’t know no why it was there. And they did not know what intel and sensing cameras but curiously enough they were looking at sensors and other capabilities that could have you know visual perception visual navigation tools. And when we showed them real science which is like 8 grams in size they were just blown away. And they said Yeah definitely we could look at you know how this could apply and start playing with that.

Anil Nanduri: [00:04:52] And that started the history of my engagement with drones and it also gave me an awareness and curious. OK so what do you guys do. Ascending and then started to look at their flight systems and as we have working on this project we think a couple of years back could see was the first time that drone ping pong. And there’s a backstory that too when we give the samples to ascending. They’ve kind of quickly variable to put it on a drone. We are actually in a conference room at Intel with our CEO playing drone ping pong. And we said hey wouldn’t this be cool to show it at CBS. And he said yeah that be awesome. And that kind of started that work and CEAs was a great head. And then we had partnered with unique to bring that to market. But then along the way we learned a lot about the industry the capabilities of drones and the commercial applications kind of fascinated me. And this really as a data gathering tool and the kind of vast amounts of data that needs to be processed that took my curiosity in different directions.

Ian Smith: [00:06:03] That’s fascinating really. I mean seeing how it developed I mean and then of course Intel eventually acquired ascending technologies and we’ll touch on that a little bit later. So Gen X. You on a panel or did you give a presentation.

Ian Smith: [00:06:17] Or is that like tomorrow or something?.

Anil Nanduri: [00:06:20] No, I have a presentation later today. And then also on the panel after that. So those are the two activities I’m here at current world expo.

Ian Smith: [00:06:27] Cool so what are you presenting on here.

Anil Nanduri: [00:06:29] Kind of walking through what until it’s been doing I think it’s an important aspect that you know as a chip company you’re like Okay putting giving chips for drones. Well not really. Here we are actually building solutions and you know the drone industry being so Greenfield in some ways you know the opportunities are endless. And so we’ve looked at and saying OK where can Intel add rally you not just in terms of our technology that can help but but more from an ecosystem enabling as an ecosystem development. Historically you know as Intel built ecosystems and so from a drone standpoint it’s like how can we bring that experience and see how we can you know realize the potential what drones are especially in the commercial areas. The other part of it is a ability to evangelize and look at applications of drones and if you’ve seen the light shows we’ve had. How do you create awareness for broad people as we all know for drones to become mainstream which this core audience really is passionate about. There is a public perception and acceptance of new technology in society that needs to also happen. And the way you get through that is by showcasing the value showcasing the applications showcasing the capabilities how it can impact them how it can how they can touch it. They can feel it and it’s not necessarily by flying a drone. Not everybody is going to fly a drone but everybody can see a light show. And so those tend to become over time the acceptance criteria for how people see more of these and saying oh yeah I’ve seen a drone and I’ve seen a light show. Now I see it fly near me and it helps bring that adoption over time is my belief and I think there’s value in it.

Ian Smith: [00:08:27] So so since Intel is fostering this true like full stack commercial drone ecosystem to use your words I mean it’s very commercially focused but you did just give some color on the whole entertainment drone aspects which I’ve been really interested in. And you guys as far as I’m concerned own that space you know what I imagine is some type of potential consumer product one day where I maybe have like a little app that I download and I get like a very small I don’t know maybe the size of a ping pong ball or slightly larger little tiny constellation of drones that I can kind of charge and then maybe if I’m having a party at my house I can like upload a little logo on the little the little app and then be able to have the drones create a little light show that maybe spells out happy birthday or something like that you know in my own backyard and so are you guys you’re very commercially focused. Do you foresee yourself going after recreational or hobbyist uses for like personal drone use. I mean what is Intel looking as far as that vertical.

Anil Nanduri: [00:09:27] So very interesting use case and you know it comes that you know the end of the day you’re part of a business and you need to have those two things One is the ability to showcase technology. The other part is to make sure that we can monetize and sustain it. And so there’s always the business side of the question we have to answer. Our school is a technology but being at Intel has been some fortunate that we are have the ability to try these things out right now. As regards to air the light shows scale. You know what. I don’t even think I have a crystal ball today where this could go but use cases like yours have been highly canonizations for us. Is that can we. You know scale it to that level what needs to be the price point to kind of be able to get to that. And then what kind of technologies are needed. If you’re flying in your house you know that you don’t have gas. And then if you’re flying in your backyard there’s all the reflections and other aspects of the outdoor gas can you safely and reliably use it. And then you know you may probably want to shrink that into form factors which may be a lot more in the category of types. So you have to go look through that. But clearly from a light show perspective what we’ve spent a lot of time on is how do you know not just think of boarded as flying a drone Esmerelda drones have flown with a computer it’s a touch of a button.

Anil Nanduri: [00:10:56] So there’s no real human being flying it but toadie operationalize something like this. Right. So if you want to kind of use a certain number of drones how do you first of all create animations because the person who’s creating the animation who wants to say OK you know happy birthday or you want to put you know Wonderwoman sign on to sign for example. They really don’t know how to fly the drones are how the drones behave but they’re creative artists. They know how to go you know bring the lights informations with the music but the patterns that amaze the audience and visualize the audience. So do they use tools like Maya or others to actually create those animations.

Anil Nanduri: [00:11:43] And so the 3-D creation process is already mature so we kind of plug into it and saying okay create your processes create your storytelling and then we have to kind of simulate it so that you can see OK how would it look with the drawings. So we created this whole software that kind of helps automate that process. And you know clearly you can have two you know light locations in the sky at the same point too. Drones cannot overlap. So you basically have to follow some rules and guidelines in creating this animation. But our software takes control of it and tells you Well you know if we see a violation of what the drones can do so kind of automated you press a button you can program the drones and then you press another button. The drones take off.

Ian Smith: [00:12:30] Beautiful I feel somewhat sorry not very sorry but somewhat sorry for the person who has to charge and change all the batteries and the hundreds of drones you don’t necessarily charge or change the batteries.

Anil Nanduri: [00:12:42] So there’s no physical person having to do that.

Ian Smith: [00:12:44] So it’s like inductive charging they can share the details because you know you have to think about the operational complexities. There you go. Ok cool. Well I like that little potential tidbit not attrited.

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: [00:13:30]  [00:13:30]I mean giddy with excitement to share that I’ll be hosting the first official commercial drones FM event in San Francisco on November 16th. This inaugural meetup will start off with a panel moderated by me with guests from DJI the scope and drone deploy. And it will start and end with plenty of networking. We’re going to discuss opportunities challenges and the future of the drone industry. Space is quite limited so please go RSVP now add commercial drones dot fm slash event. Seriously go RSVP. It’s going to be a great event that’s November 16th in San Francisco and you can RSVP at commercial drones dot fm slash event. [00:14:13]

: [00:14:14]  [00:14:14]Hope to see you there. OK. Back to the show. [00:14:18]

Ian Smith: [00:14:20] So back to commercial operations and non entertainment drones so I’m just going to run down the list of what I know is the kind of ecosystem of Intel as far as drones go and we’ll start at the core piece and that’s my video. That’s like a hardware component that is like you know an acquisition that Intel made. Yes and a lot of drones a lot of DJI drones have these chips in movies chips that are used for computer vision processing and very powerful you know chips that you guys have kind of made and I wanted to ask you just a little bit about that. I mean basically your background of actually designing you know silicon chips. Can you tell me a little bit about the whole movie is thing and was this one of the earlier acquisitions that Intel made.

Anil Nanduri: [00:15:10] I mean it’s a more recent acquisition. Just a great company. And you know if you look at it what they really have is machine learning AI accelerator chip. So you know you’d think about you know people are familiar with what you call this GA’s programmable Gaiter race. These allow you to program software into chips as terra. That’s another one of Intel’s acquisition. But then what you tend to do is that you know for many applications you want a smaller chip you want a lower power chip and you still want to have programmability but it’s more special especially build and for functions like AI machine learning accelerating mission processing and if you know people are more on the technical side of things when you’re doing say for example deps sensing you kind of use. No stereoscopic technique as one example. Just like the human eye. So you have two cameras there capturing frames of information. Primarily it could be 60 frames a second and 20 frames per second depending on you know you have technology that even goes 240 Francis I can these days for the cameras and you are now looking at it because the you know the distance between the two. You can analyze two pictures taken at the same time from both these cameras and then you can create depth. You can see it in 3-D. And to do that you have to do this pixel matching and get the whole you know data analysis done and that’s what you know real science technology omniscient he works on and there’s a special chip that does all this processing. Now you can do that with something like Merida’s for example.

Ian Smith: [00:16:53] And so videos could be a component of a real sense to enable you and.

Anil Nanduri: [00:16:57] Accelerate more than things Adria’s into a real sense and movie ideas together not only because now real science takes care of that depth calculation. You can now move medius to accelerate inference you want to do tracking you want to because it’s so much a computer that needs to happen. And the general CPQ the processors are the glue that you’re familiar with. They take a lot of power and they take a lot of frame rates to actually process this. So having these dedicated accelerators that are programmable something that’s very repeatable you can do a lot more efficiently with this chip like Mary adex which is less than one water of power and it’s super powerful in terms of what it can do. So the flexibility of that programmability plus the low power nature of it and then being able to do all this on the edge that’s an amazing set of capabilities.

Anil Nanduri: [00:17:48] So this is where you’re starting to see customers who want to do you know hey I want to look for a crack. Would I be able to detect it very fast as the drones flying for example you could actually use something like the movie just chip on board to create that algorithm that’s that you know for crack detection. It can actually run in on the drone. The issue is why is it not being done today because we don’t know where all the cracks are what is the definition of a crack.

Anil Nanduri: [00:18:17] And once that’s all well established these chips can do wonders building the training data such a very cool so then the next thing was going to be a real sense but I mean that’s kind of covered I mean that’s how from what I understand you take it’s real sense more like a kind of like software like a system level software then it has less to do but you can buy like a real sense unit. If I’m not mistaken you can buy one but it’s kind of like just it’s the software layer that goes on top of the hardware.

Anil Nanduri: [00:18:46] S2p system that the hardware itself what relicense gives you is you plug it in and it’s a U S B interface and you really get a complete 3D data. So you see images in 3-D. So you get the two cameras it’s a stereoscopic camera and there are multiple versions a real sense by the way one example here is a serious copy camera and talking about and you’re able to then look at the image in front of you. You get the 3-D processed data so you’re getting a live feed from the camera processed through a chip you can see the whole thing in a depth map. When we say a depth map is that you’re seeing an object.

Anil Nanduri: [00:19:23] So today when you take a picture with the camera it doesn’t tell you how far it is from you. Right. What these relicense camera do is that you get a walk cell. So basically you are getting a pixel but you also know how far it is from you. That’s what we say is 3-D. That data is amazingly valuable especially if you’re in drones when you’re flying. And as we look at more automation coming in and drones becoming more autonomous then you have to work around obstacles or to walk around trees you may not know that you know there was a suddenly a crane at a construction site but the drone should be smart enough to know that around it. So that’s what the sensors do. The other Rick Ray some people are doing is ok rather than using real sense. You can actually physically put cameras and then you something like a movie this chip and then use it to do this processing. So relicense just helps to make it do it faster.

Ian Smith: [00:20:19] And so those two the kind of the hardware component being the various and in the real sense system level software and algorithms and whatnot. I mean those are like Intel’s traditional kind of like specialty. So when we go into finally in the ecosystem of Intel the hardware platform this is where everyone is probably wondering what’s going on here you’ve got ascending technologies a German multi rotor manufacturer that’s been in the game for years.

Ian Smith: [00:20:44] Ma Vinci a German fixed wing manufacturer that you also acquired and then you’ve created the shooting star which is the entertainment drones and then aero platform Intel aero platform which has targeted more at developers.

Ian Smith: [00:20:56] So what is the deal here. I mean you know we talked earlier about you know but why create this ecosystem. Where does Intel I guess see itself in 10 years with this entire stack and not even mentioning yet the next item we’ll talk about is Intel Inside the new software that was announced. But maybe you can just talk a little about like okay fix fix.

Ian Smith: [00:21:22] We’ve got a multi Rodo we got a small multiyear around we’ve got to develop some multithreaded.

Anil Nanduri: [00:21:26] So I mean this is a good question and this you know are in a new world in the past typically a industries where it was that you come up with an idea especially in a new industry you create a standard. You wait for the standard to mature and then you can work towards deploying and then you take years to slowly bring that technology and you look at how Wi-Fi came into the mainstream and these decades of work that went into it. And creating the ATO to not lemon standards and you standardize that. And then you work towards the standards.

Anil Nanduri: [00:22:04] The other part what you’re seeing more and more is that you know people are looking and saying you know all that’s great technology is great. What can it do for me. Right. So show me the results. If the technology is the way to do it and I want to see the results faster. And so it’s becoming more solution centric. And and the other part of it is that you know to build that and prove it out like light is a great example. You know I probably don’t conceive of a way where I could put this in PowerPoint and go tell ofe hey give me permission to fly because here is a great little technology that I can explain to you. And I will go develop. And so they no come when you’re ready because I want to see it. And I want to know it’s safe. And so we have to actually build a whole system to kind of you know showcase that this can be done. Yeah. And so and as regards to the commercial platform and that’s so a shooting star was a solution thinking because we knew that if you flew the 50 drones and just take them off the shelf and tried to build it together at some point the complexity of managing it.

Anil Nanduri: [00:23:11] You talked about charging the batteries as one little example of programming them each one because each of them have their own little SD card for flight management or you want to talk about you know hey how many people do I need on the ground to actually you know put them all together or line them up. You know it starts to become a way you can scale it right. So we had to think of shooting star as a system and we thought of it as one thing. Make a brilliant light show. So it had four billion light combinations. So you start with the end in mind. So just like the people who are animators like OK helped me make it animate I don’t really care how you do it. And that’s our job. And so we had to build that solution on the commercial platforms. We saw that as sending maximalism and she had some really compelling systems.

Anil Nanduri: [00:24:00] And and we saw the value that that bring about redundancy the multireligious system of the Falcon 8 plus multiple autopilot onboard and then very very safe and then it’s a platform approach where you can swap payloads and you have you know adaption to you know magnetic RAM interference for example. It had to pull her at the time you had you know extra rotors for redundancy as well a very high payload to takeoff ratio very very accurate precision platform. And you know we saw an opportunity that hey we could scale this and scale these technologies and make them better. And that’s exactly what we’re doing. As you know when you have assets like these. Why not stretch our imagination and look at what problem you’re saying to solve here. And this is I think the key is that even the drone itself is and data acquisition device. There’s going to be the drones are getting smarter which means you need more onboard processing. So eventually I see a future where chips like movie ideas communication links on that drone and you know completely controlled by computers being able to you know inspect hard to reach places places where it’s sometimes not safe for us to go infrastructure and to give us that information real time. That would be one aspect. But to get there you need a lot of data gathering do them the training that you talked about earlier you need to process gigabytes and terabytes of data on the cloud so that we can learn from it.

Anil Nanduri: [00:25:42] And so so if you think of the toolchain 1 as how do I automate and repeat you know on a consistent basis capturing this information and it’s accurate. Right now where I need no more green markers no ground control points how can we use our Teekay technology and do it without having to you know have X and you know expensive manuals set up process of you know GCP or other things like that. How can I do that and then leverage data well for multirole order and fix Swink in just all this information so that I can repeat it and then start to look at OK analyzing it. Because even if I gave you 10000 images in you’re gonna like what do I do with that. You know you get bored even if you’re sitting in air conditioned backoffice you don’t have to be at the side but then you know you can then analyze this humanly. And we already know that tools exist today except that the you know machine learning tools are more looking at you know families and our friends and you know spouses pictures are who’s smiling who’s not what Vawter my pets.

Anil Nanduri: [00:26:49] We’re not trying to apply it to inspection data.

Ian Smith: [00:26:52] Yeah and this brings us to Intel insight. So this is this is really interesting so this is one of the most recent announcements that Intel has made if I’m not mistaken. So a little bit of background here. So my alma mater delayer Airtasker who is now known as delayer partnered with Intel and in partnership has built a software platform to take all this data that these drones are collecting that are powered by real sense powered by videos. I mean you’re seeing the full ecosystem here and then start to make value out of it. So tell us just a little bit about the insight platform I mean I’ve seen the CEO of Intel Brian breeziness announced this onstage at the Inter German event. And then I also I actually saw this with my own two eyes intern drone in Berlin just the other week and it looks really impressive. I mean seriously. Really nice stuff and so like where do you see this going. I mean with as far as like the software goes I mean it’s still kind of early days you know there’s lots of work to do obviously but tell us a little bit about some of the cool things that you guys are trying to kind of do that maybe others aren’t really being so effective.

Anil Nanduri: [00:28:05] Again like I said there’s a lot of innovation going on in the ecosystem and we at Intel have taken the approach that you know you don’t have to build everything. There they’re good partners out there. And definitely the idea here is can really scale does ecosystem a fierce look at the opportunity of drones. It’s huge. Now it’s not going to be won by one player or of two players. I think there’s enough nation and capabilities that are needed and that you take the ecosystem to achieve those objectives. How can we accelerate that and Intel Inside was a great solution from processing all the data that comes from drones and we are typically looking at you know a standard first step of processing as photogrammetry. And this is where you know we’ve had not just partnerships with pic’s Fordie you know Bently context capture. So giving the flexibility to the users that they’re more familiar with than being able to handle this. So there’s a cloud based analytics platform but the focus is now and then saying Okay getting the standard set of drone data you know being able to annotated being able to get a DSM model or you want to get a you know auto mosaic. These are standard tools that this platform will support. But more interesting is then to start saying Hey how can I create automation of analytics. One interesting example and we showcase that was a concept for change detection and into drone we flew live across a facade that we created. I mean to showcase the capability and we said OK now how can I have two flights and we intentionally made some changes in the facade and said two flights and say OK so into the computer how can the community server now tell us OK what changed so that I don’t have to go through this painful exercise. I think there are like 200 odd images to compare to. Love it. And so it basically will click walk through like OK here. The fight for a fight changes. We see it from automated today one data set to the next.

Anil Nanduri: [00:30:13] And then it kind of highlighted that in a very simple to understand you could do it side by side. You could do it as an overlay and leave it to the flexibility to the user and said OK here here’s how I see these different changes and miserable to look at and saying OK now it needs additional attention over time. I expect not only we could do these comparisons it can predict it can even recommend and it can also send it off to the right maintenance person who needs to go look at it and the value of something like this is phenomenal. And then the knowledge that the systems game then can then be used for training and then you can actually train the drone itself. Why do I even need to process this data. Can the drone itself do this. And I think that’s real time. It will take time. It’s this is about the future really.

Ian Smith: [00:31:04] I mean I think sorry to interrupt you but Benchellali yeah the drone is going to be doing in real time eventually a system of like. All right. Stick a screwdriver on the drone. Maybe the drone can just like screw it and fix it.

Ian Smith: [00:31:15] And so a person doesn’t have to go up there and they can spend time doing something else. I mean that’s a potential route forward for this too as well. Right.

Anil Nanduri: [00:31:23] That’s I would say still you know having the stability of a drone to be real time in the air robot if you want to call it hopefully maybe if anyone can do that. I wouldn’t say that but I think there’s a lot more physics that have to be met to have that position. And like I said end of the day the maintenance worker for example or the maintenance crew that needs to look at it they look at it is that the most cost effective way. If the economics work I totally believe technologies like these will get invented or even I would say it’s more evolving the technology. I don’t think it’s as much as an invention and one of the examples like in Japan for example the human capital. I mean even if you wanted to do it with people you the aging population people you’d be amazed that you know they don’t have the infrastructure of human capital to go do these inspections let alone than the maintenance aspects of it. So there is a real necessity of automation and of allowing the systems to do it.

Anil Nanduri: [00:32:26] And I still believe it has to be done safely and it has to be at what I call human on the loop which we would like to say which means that there’s always the ability for us to step in and provide that you know control about these capabilities and tools and oversee it because there’s still a lot of knowledge that people have that these machines can replace.

Ian Smith: [00:32:52] Absolutely. So all of this plays a role. I mean the whole ecosystem here. So what are some things that we might see next from Intel. I mean what general direction are you having like what are you kind of focusing on and like what’s like the imperative mission that you kind of have. I don’t know. Maybe over the next few years or something.

Anil Nanduri: [00:33:13] So as I we have a great team and Intel very passionate team and like you said some of them are pioneers in the drone industry and their dreams are and my job here. Not just to feed and fuel their dreams but at the same time you know realize them.

Anil Nanduri: [00:33:31] I know if you know about this man carrying drone called WOLA copter. Yes. And it’s the same fly German company. But the flight control technology that powers that helicopter as well as the broader electronics is actually generated by our team at Intel. And so again the scalability of the key technologies we build is very applicable in different areas. Yes I exponential we actually you know you talked about you know having a draw. We built a bridge to do an automated inspection. But along with that and we also did a light show with about 10 drones inside the conference area. There was no GPS. So you talked of our dear little vision of having your little you know my own personal life.

Ian Smith: [00:34:22] It’s very selfish to do that effectively.

Anil Nanduri: [00:34:25] You need to have some reliable positioning technology that’s outside of GPS. And then what do we really demonstrated for some people is that oh it was a great show but how did we do it. We had to have some technology there that we could fly with precision indoors. So you know tools like these which you know we see the potential and we’re going to continue to develop those.

Anil Nanduri: [00:34:49] And we also do a lot of open source activity so we have the aero platform where we have a computer onboard. So it’s not just us working with the movie this chip someone can plug in and we just chip on the intellectual platform and double up on their own. So you know we and it’s a full open source platform supports pics picks for flight controllers stack our pilot flight control attack. Today it’s on Linux platform. It supports the Rosse interface. So again for people wanting to build applications the aero platform is great and we just it’s open opensource in that regard it even supports where real sense cameras so they can up to their imagination.

Anil Nanduri: [00:35:34] No we don’t see this as being a commercial drone for example but it’s more as a testbed. One great example was we were working on UTM testing. No I know how familiar people are here. But that’s the NASA efforts to create air traffic management system for unmanned vehicles. And so it’s unmanned traffic management and to test it you have a server that’s managing the Clines search each of it does a drone. Now with the aero platform implementations are very different so air map has their version of UTM. Google has their version of a UTM. Guess what. Within a day both of them could actually configure a narrow platform because it is fully open source to be their client and to test it. In fact we did TKL 2 testing at Genia along with Google and NASA and then air map did a testing in Switzerland recently using the arrow as another plane so you know it becomes a versatile tool to go to be able to test these Kensit capabilities.

Anil Nanduri: [00:36:36] Again this is not the final commercial drone that MI implemented to get your software more robust. It’s a great Raiko.

Ian Smith: [00:36:44] Wow. So we have literally gone through the entire gamut of possible involvement almost every aspect of the drone industry so that was very eye opening.

Ian Smith: [00:36:55] I mean it definitely could have asked a lot more questions but we’ll cut it short here in order to leave something to the imagination for everyone listening if everyone listening you can follow Anil nondairy on Twitter at nondairy underscore a no. That’s a NDU I underscore and ill and you can visit Intel’s droon website to see all of the stuff that we talked about at Intel dot com slash drones.

Ian Smith: [00:37:25] So before we cut off the mikes you have any last thoughts and ill impart the listeners with before we’re done here.

Anil Nanduri: [00:37:33] I mean you always knew Intel as Intel inside and your PCs and the computers that you used budwood drones are actually still on the outside. You can you can buy them. Customers can use them. So we are you know selling commercial platforms. There are customers who on light shows we service and do a service of light show. So then if you want to be a developer and want to use our platforms we have access to that. So it’s not just via building technology here we are building products and solutions and of course the Intel Inside platforms which you know we haven’t announced the release date yet but. You know that’ll help automate a lot of the data processing as well.

Ian Smith: [00:38:12] Great work will keep it up guys. Everyone on the NFL team. And so while you’re at it if you want to follow the podcast on Twitter we’re at drones podcast and on Facebook dot com slash drones podcast you want to support the podcast had to Peachtree on dot com slash drones podcast and just for a buck a month you can get access to the private Facebook group who all previous podcasts gets get a guest get an invite to. So if a Knill wants to join after we aired episode then he might be in there and then chatting with like minded folks about commercial drones and the industry. So thank you so much for listening everybody. We’ll be back in a couple of weeks with another episode. Thanks. Cheers.