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Project14

3 Posts authored by: riklaunim
Using OpenCV to detect a face or other specific object on an image isn't something new or groundbreaking. However many machine vision applications are based on such functionality and the best ones excel because they provide the best UI and user experience when used - things that not many backend developers often thought of or implemented.   In this example PYNQ project I'll just part of PYNQ-Z2 features to provide a sort of user interface presenting data based on face detection. The notebo ...
The webinar focused on video processing while the PYNQ-Z2 board has additional features that can be used when making an edge-processing prototype. You can use the USB host connector to connect a UART serial/RS232 adapter to then control some electronics or a microcontroller board with it logic that can be accessed/controlled via a serial connection You can use the GPIO on the board to play with some electronic components but also to control an optocoupler or a SSR to emulate button presses on ...
There is a lot of electronics or IoT connection points for Python developers or just makers playing with their Micro:Bit, Raspberry Pi or other board powered by Zerynth, TinkerForge, MicroPython, CircuitPython and alike. Among all of those there is no FPGA or anything close. There are edge NPU like Google Coral, Intel Movidius or Rockchip 3399 Pro and it standalone NPU, or Nvidia with their Jetson and alike boards. Those can do machine learning and alike, yet they don't cover the gap completely ...