Machine vision on the edge requires a motherboard, a camera, and a few other peripherals. Environmental sensors, a UPS to provide power, and screens and other display units to communicate w/ the user, are also great to have.
Here are multiple designs for this purpose. Each yields a modern Linux machine that is connected to a camera and can run almost anything Python, TensorFlow, OpenCV, and much more. The motherboard is either a Raspberry Pi or a Jetson Nano. The rest of the hardware is picked accordingly. Click on the images to see more.
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For each design a bom is provided.
Each design uses two or more variants of the blue bracket. stl/obj/skp (SketchUp 2022) files for the brackets plus gcode for PLA in low quality (0.3 mm) for DigiLab 3D Printer 3D45 are included in this repo.
To boot and terraform the designs use this python + bash bootstrap.
If you are an individual or a group involved in AI on the edge and are interested in obtaining one of these designs, please reach out to me by sending an email to [email protected] along with your GitHub handle. As a reciprocal gesture, I kindly request that you release your code under a permissive license, preferably Creative Commons. Please note that this offer is applicable only within 🇨🇦 due to legal considerations.
built by abcli-7.2307.1-2023-06-aws-batch-a, based on bracket-1.255.1.