 Hey, this is Mike Dekker from Genetic. We are here at Embedded World. You see our Genetic booth pretty big. We show a lot of great stuff here. I will make more introduction about that. And let's move it over a little bit with one of the biggest attractions we have here today. We show predictive analytics together with our new multi-sense device, the Museon 1.1. Which is one of the tiniest smart sensor platforms, multi-sensor platforms in the world. It's mainly done for safety workers. And what we have here, we have Christoph Winker from GreenWave Analytics, which show and demonstrate to you the Museon Live with Edge Analytics as well as Cloud Analytics around. Whatever you need. Whatever you need. Let's go. Hi, my name is Christoph. Christos, not Christos, my name is Christoph. I'm happy to give you a little bit of the introduction of the software around this fantastic hardware from Genetic. So we're providing a software which enables the Genetic Gateway. Here we see an example called DB4. It's based on a Snapdragon board. 410 from Guamcom. And we make this gateway smart with our Docker container. So on this gateway usually is a Linux Debian and our software is just as a Docker container. For each additional sensor, we just provide an additional Docker container. So the new sensor from Genetic as well as other sensors just been packed and been uploaded here. The UI you see here is hosted in Microsoft Azure and give us the UI. So just making the dashboard to have a kind of a visualization, what this kind of sensor is capable to do. Oops, here is the touchscreen. So what you see here now is exactly the sensor which is communicating by Bluetooth 5, which is a full mesh compatible device which makes it completely strong in every kind of use cases. So here you see for example the light. So if I cover the sensor then you see of course the light is off. So the sensor is talking by Bluetooth to the gateway. The gateway is connected by internet going and push the data to the Azure cloud. And here my device is also just with an LTE dongle talking to the Azure cloud to get all these dashboards back. So if I click now on such a device then you see all these single sensors which been available on this multi-sensor from Genetic. And you can play and work with every one of them. So here for example we see acceleration in yellow and the acceleration in red. So if I start now shaking the device you see the scale of the acceleration comes to manipulate the idle mode and you see here just the acceleration. So you can have with such a wearable device plenty of use cases where you can say for example elder care, someone is falling, you have even a free programmable action button which you can use as an alarm key and so on and so on. And here our platform more or less allows you to combine such sensors with different sensors for different patterns like above, below, average, even up to FFT models so everything can be combined and you can talk a complete machine to one system. And I just make you now a little example to say if I have here a sensor which is giving me light. I have created here a question which say oops the light gets low. We see now here light gets low, we give light gets low another color. Let's make it red. The key message on the software more or less is that you get the anomalies only talking to the cloud. This allows you minimizing your cloud cost, your data volume at the cloud but also the connectivity cost. So you get everything under control because the edge in the end is talking. So now we have a reconnect, let's try again. If I cover it, so you see now the light should going down, you see now the light is down and now you see the background is changing to red. So at the moment when the backlight is red we get a trigger like the trigger is now the light is too low. Trigger can be everything, it's R-E-S-T compatible, so any kind of a webhook is doable including JSON bodies, everything you like. And what's the main advantage of designing it with Docker containers? The compatibility, so we are cloud agnostic even we are now here with Microsoft Azure because I have to mention this. The Microsoft Device Provisioning Server has been used from our solution as the deployment gateway more or less. So we even can manage with the DPS and thanks to that the Chiniatec Gateway has been Azure certified we can manage the Docker versions even down to the gateway and beyond to the sensors. So we can update sensor firmware even in the field via the DPS services from Microsoft on a secure way. This is unique in the world the solution. It's not unique in the world but the key is that we have really managed everything to industrial standards, right? So Chiniatec is working to industrial standards, we working to industrial standards and in the end it's easy for us being compatible with Microsoft but also with Amazon or Watson or at premises. The key is we are talking Docker, MQTT, but with Microsoft we have the additional advantage of the deployment is already done. Thanks Christoph for showing this and really impressive what you have done with our hardware and our gateway solutions. It's always a pleasure. So let's walk a little bit around and show you what's up and what's new, what we're showing here. As we previously already announced we have our Lora Gateway now live in mass production working pretty fine bringing all edge computing and smart farming solutions to life. We have our small IMX6 URL platform as a standard entry-level gateway for IoT in any at the glance with ZigBee, Bluetooth and also other RFs which needed. We launched our tracking modules as well and most famous which we haven't thought it will pick up so much is our smart sensor box which gives the customer the capability to bring any kind of wired sensors into the cloud. So this is more or less the smart sensor accelerator. Moving into our previously lined up of the DB4, the Dragonboard, the industry grade versions. We just launched yesterday our DB4 version 3 which is fully 96 spot compliant and works hard on that part as well. And in combination as you've seen it also in the demonstration with Christoph for predicted analytics with our DB4 gateway solution and based on the smart sensor box we are capable to more or less to connect any sensor bar RF as well as by wired into a given infrastructure or built infrastructure for that. So that board version 3 what is new about this one? This is fully 96 spot compliant. I just can't get it out here if you want. You know we are part of the 96 spot community and we support them with all as well and they are sort of given hardware design and form factors. But is it the same chipset? The same chipset and still the quad core 410 Snapdragon together with the dual band Wi-Fi and a Bluetooth 5. So by being version 3 is just re-optimized? Optimized. There's a lot of learnings inside of this. The learnings are definitely a lower size of the Misani connector and the audio connector and just comparing also to the let's say other version 2. You see here we optimized actually turn around a little more compliant at least. We moved the LAN connector to the side 96 spot compliant and here what we did in the version 2 because customer in the industry version need to have a fixed connected power solution which doesn't more or less get looseless and maintenance free. But this is really even smaller form factor you see there which are fully 96 spot compliant and works that way. So I'm pretty happy and pretty proud to do so. You're happy with the 96 sports ecosystem? Absolutely. We're working very close with these guys and these are really fully with us and we try to help them as much as possible. We're also working when we move a little bit around to the other part of the exhibition. As you may know we launched already different kind of solutions based on also NXP. We just launched here the IMX Mini the solution based on the SOM as well to create a PC. Can we grab it out of the shop? Is a new launch for the abandoned world 2020? Yeah this is pretty fresh coming out of PCBA actually arrived yesterday and you see we have the SOM itself and below the carrier board. Which gives flexibility to all of the designs. We are happy that we are finished it now and fully compliant to the standards. That's the key part for it. Here we have a PCIE interface where we can add easily also ATE modules or what it might need it. So again it's having a SOM and a carrier board that leads us definitely to a system board computer to SPC. So that we can move forward onto this to give customers choice of their own design but just creating their own carrier board with us. Which is much more and much faster because to do a two-layer board or four-layer board in case instead of an eight-layer board for us. How about the format for this little board here? What is your idea for the size? This is more or less standardized. So you see if you compare it with all the SOM designs we are doing. Here we have another IMX6 design. The size is more or less the same and following the standards. There are industry standards for these kind of SOM designs and that can be reused. You see the hard connectivity is similar same. It depends really on what kind of carrier board you use and have this enable to different IOs. So you have a lot of stuff happening with NXP solutions. Yeah we are quite happy to work very close in a direct support path with NXP. That makes us pretty happy to see that to move over to this kind of compliances. And here is the rock ship solution? Yeah here is the rock ship solution again. 96 board compliant. Let me get it out for you and look at that. Well we just put in everything what we have in mind. We make here really a single board computer. You see here the outline from the previous SOM and we break it down to one board computing because there was a customer project with HMI in and out which might be needed for decoding because the IMX the rock ship gives a lot of decoding and encoding power in the video field. But again following again all our building blocks. Again we have the PCIe IO to reuse it as necessary. Yeah it comes with the RTC and everything what it might be needed to run really a system board computer on the industry level. And rock ship promises to support this for a long time also? Yes here we have also a longevity support of 5 to 7 years. And a lot of open source happening for each of these different solutions or is it more or less like sometimes some SOCs have more stuff going on? It depends for this kind of longevity support you need to run into clear supply chain, have directly support paths and also working with a big distributor like Aero together worldwide to make sure that you are capable to fulfill this longevity support. And how is your collaboration with Aero? Is it really helping to release? It's an inbound and outbound collaboration. So we benefit from one part that we are benefit from good component pricing and support passes they have with the semiconductor designers and the manufacturers on the other side they help us to reach out more customers due to their sales forces they have worldwide and as they are in this big industry customer basis worldwide so that helps on both sides to sell in and sell out and we put the design like the system board computers we bring them to their warehouse and from their warehouse they serve their industry customers. That's the easy way but it's also a complex way because once the customer pick it up they start their proof of concept we create a statement of work based on a statement of work we collaborate until to the mass production and industrialization because every customer wants to have something special and different but we reach out more customers than ever before. And then as you also implement yourself the 96 boards and all kinds of different projects? Yes, what I said before we showed the Qualcomm 410 platform which we reused for certain kind of solutions we reused it in our Laura Gateway we make an adapter board, a mizani board, fully 96 board compliant which serves with LTE and Laura itself but we also have integrated other solutions now in a row maybe I can show you that. You know there's a company N-Ocean and N-Ocean is mainly known for energy harvesting that you have certain kind of let's say switches on and off where you put in and on. So what we did was in N-Ocean and also with BSC computers we integrated actually a mizani board and created a mizani board with an N-Ocean antenna and build it into our standard gateway based on the DB4 and just connected on a mizani connector and integrated they integrated it now with a full working solution so what you see in here open speaking this is a new gateway for a taco and an ocean chipset enabled to control other let's say passive devices which are not powered, only powered by energy harvesting such a temperature sensor like this switch on switch off to have a contact for windows open and close so it's all this kind of ecosystem now we're taking in place by the reuse of the DB4, the dragon board in our DB4 hub for the sensors devices So this is the energy harvesting signals Yes, this is the new N-Ocean hub and here just for your reference to see this is our newest design gateway 360 you have fully compliant LTE modem inside you have ZigBee integrated as well Bluetooth 5 as well as Wi-Fi dual band to support certain customers ecosystems so this is the most independent gateway you can even build based on the IMX6 ULL so low power as well as needed can be also battery powered this is the modem there this is the LTE modem these are the sun boards for the IMX6 ULL and this is the carrier board which again has a PCIA expressed what I told you before for the IMX8 MMM also we always integrate for the NXP solutions always a PCIA interface where we integrate and upgrade the communication path for the LTE modem So like a sandwich, three things together Yes, but give the option the customer can decide to use it or not use it and all controlled by the sun interface below in between you have the carrier board definitely a sandwich design itself Cool So last time we met at the ISC 2020 and here with Embedded World the Embedded World is a bigger and bigger market forge in the attack this industry Yes, it's heavily growing it's developing quite a lot so we have partners coming here by and yes, but the Embedded World is also heard by the coronavirus situation so you see also our colleagues from China are not here my CEO Mr. Fang is not here I say hello to him from here so it would be great to have him here The audiences are pretty high level and this Embedded Computing, Industry Computing System Board Computing it's a very important part for us so it's becoming more the major distribution path together with our partners like Aero, OnSemi, IBM, Siemens this kind of partnerships drives us to a next level of the whole company Many times I guess they reach out to you because they know you are able to get things done Yeah, we are pretty fast in realisation and collaboration so we do not talk too much, we just do so means based on statement of works on clear project plans we work out in detail with the customer what it's needed and everything up to API level and hardware level, Genetic is good for when it comes to application level then the customer needs to drive his ecosystem but we will enable the customer and help the customers as much as possible so we will be becoming more and more an OEM, OEM full solution provider customer comes more with the application and say I have the application now move my application and my ecosystem I need to have a gateway I need to have a sensor hub like you see with the museum like you see with our system board computing solutions we create out of the building blocks solutions an OEM, OEM solution provider as Genetic is now becoming is really highly needed for this and also a high speed and rapid prototyping high speed and rapid prototyping from a pilot from a pilot to an industry grade production it's highly needed and Genetic is capable to do so and of all the companies here the better world are you the fastest time to market or how would you say because in certain types of products you would be, right? I would say so yes we are one of the fastest one that's definitely so we do let's say prototype design around including industry design six weeks we realize project down to experience level and industry level in three months to four months it really depends for sure on the project base but as long as we are working on NXP, on Qualcomm on RockShip on all our given platforms and hardware and software platform and firmware platforms and for multi-sense device working with OnSemi or MicroShip we can fulfill the full tool chain of build this project to bring to life that customers application run fine and how do you decide what to focus on what to spend your time on because there are so many awesome projects and maybe you have a certain way of choosing work to do I think we get input definitely from our customers which are existing customers but we get input from new partners but also from Arrow Arrow reach out by customers hey we need a solution for ABC just integration like Siemens Minesphere it starts from an inquiry that they have a need for multi-sense platform so we use our multi-sense platform and say hey guys why are you not using this guy that makes sense to do so because they all need that data this is very special no let's say our gateways are the arm let's say the shoulder itself then we have the smart sensor box like this guy here to connect any kind of agnostic to sensors and then we have our fingers and the smart sensor hub itself so we can help the customer to drive this ecosystem on a tool chain of security up to their application level that they are maintaining it and moving it from this so this is very helpful this is very much at the edge sensors on the edge but also you are doing AI on the edge you are doing all this stuff actually we are definitely using tools for AI we are working with companies like GreenWave we are working with companies like IBM they all have their analytics and neural networks I didn't want to say AI that sounds so very clean and easy but it's very not structured it's more cloudy the whole thing so customer specific application driven AI feeding with sensor data and the right sensor right format this is given by us by hardware and APIs and the customer picks up this data and ingests this in the big data lake on the edge computing side and really communicates very sensitive with the cloud what needs to be shared to have the most efficient way of data logistics and then you have an amazing headquarters in Shenzhen right and then offices different places do you have like engineering happening around first of all we are around 600 people let's see what the coronavirus say and how other people are coming back just coming back today we are around 600 people we have 3 manufacturers headquartered in Shenzhen 2 manufacturers in Shenzhen 1 manufacturer inside in Hefe in the Anhui province in Anhui province we have also a big R&D center for embedded computing besides the smart IoT stuff we are doing in Shenzhen itself we have another R&D center in Beijing and we have sales and project offices in Indianapolis as well in Germany and Europe so we are a mid-sized OEM OEM solution and platform provider it's not only about making a hardware a TBA, load something on it it's designing the whole ecosystem from the ground bottom to an API level to do so and working with the customer always with the customer you do not do any kind of IoT project without the customer and also other partners like we work for this design also with IBM with Siemens with other partners to meet the market demands for the sensitivity of the data or if for other let's say ecosystem parameters like just having existing use cases need to be covered by digitalization and digital transformation that need to be covered in the future so all these industry customers like IBM or also Arrow ECS they looking for a solution like this and they need a standard solution and that what Christoph also says be taking building blocks from standards bring it together and make it work in communication and infrastructure up to an API level where we can support the customer's ecosystem that only works with close collaboration for this kind of project with the multi-sense device there was micro ship there was on semi with the RSL10 there was the memory controller there was all Bosch sensor tech sensors inside the light sensors on SEMO you need to bring that all together to bring a firmware up which works fine which have the power consumption which takes that the device can be used another three months this all works together from the application down to the API to the hardware level so collaboration it's mandatory and there we have the sense for it and we also have the people for it and in terms of trends of the embedded world would you say that there's a lot of new chips coming all the time or do people want to enable new things on existing chips let's say this way there's installed infrastructures there are single solutions already in the market there are sensors already installed in factories on ships and everywhere in this world you need to grab them all and bring it up to a communication level which everybody understands it can be IFTT or MQTT or anything like this to read data and make data logistic from A to B to C to D to different places in the right formats and everybody use looking for reliability it's not just saying the temperature is now 26.6 degrees it's more about what is about humidity, what about pressure what about the air quality we need to bring this data together on a standard size on a standard format and that needs to be worked out in the application and ecosystem from the customer