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RoadTests & Reviews

7 Posts authored by: gecoz
Motion Recognition Predictive Maintenance Machine Learning primer How Brainium implements AI features AI Studio Testing Brainium Predictive Maintenance AI Initial learning AI Widget and Rules Creation Anomaly Testing In the previous blog  I have explored the Brainium platform, but I didn’t cover any of the AI features available. I thought that, considering how much relevance has lately been given to AI for this product, it would deserve a blog of it ...
The Brainium Software Stack The Device The Gateway The Cloud The Portal The API     In the previous blog , I have explored the features of the SmartEdge Agile device, focusing on its hardware features. The device is the actual interface of the solution with the world: its many sensors scan the surrounding environment, producing a flow of data. But where do the data go?   In this blog, I will take a look to the software part of the solution which deals wit ...
At the end of 2018, I have been invited to take part in beta testing of the new IoT + AI solution by AVNET and Octonion, organized by Element14. I was very interested in this new product and its ecosystem, as quite a lot of my latest work has revolved around AI, one way or another. Once the beta tested completed, I thought it could be helpful to take part to the RoadTest that followed, so I have offered to participate, as I already had the device.   I am writing a series of blogs that will ...
In Part 3, we designed and implemented the hardware side of the project, using Vivado. After placing and connecting all the IP blocks, we synthesised, implemented and generated the bitstream for the Arty S7 board. A quick test gave us a good indication the build was good, so now that the system is ready, we need to write the software for our application, which will run on the MicroBlaze and use all the modules created in the FPGA.   As mentioned already in the previous part, the great thin ...
After exploring in Part 1 what we got with the Arty board, and in Part 2 what tools we are going to use, it is time to spring into action and build an Infra-Red thermal detector based on the Arty board. For the sensor, I’m going to use the Panasonic  AMG8833 Grid-Eye , more specifically I’m using the Maxim MAXREFDES131 board, which I had the chance to road test last year (1-Wire® Grid-EYE® Sensor w/Arduino-Compatible PCB - Review). This board supports both OneWire and ...
As already mentioned in The Digilent Arty S7: An Unexpected journey - Part 1 - The Board, the heart of the Arty S7 is the Spartan-7 FPGA. In this article, I will explore the tools available to work with the FPGA. As my focus is the Arty S7 board, it goes without saying that when I talk of FPGAs, the reference is to the Xilinx’s Spartan-7 (although many considerations might apply to FPGAs in general).   If you are approaching those devices for the first time, there is a nice short int ...
Recently, I have been selected to RoadTest the Digilent Arty S7 FPGA board. Since it has been ages since I last worked on digital design, and a lot has changed since then, this RoadTest offered me the opportunity to refresh and update my knowledge and I thought it would be nice to keep records of this journey into the discovery of this board and share it with the element14 community. I want to reassure you: there won't be Dragons, Orcs or any other strange creature met during the journey (sorry, ...

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