Edge Impulse Experts / AI-based Aquatic Chemical Water Quality Testing Public

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AI-based Aquatic Chemical Water Quality Testing

Object detection

UNIHIKER DFRobot aquarium aquaculture fish farm water quality water pollution RetinaNet NVIDIA TAO Telegram

About this project

This object detection (NVIDIA TAO RetinaNet) model detects water pollution levels based on the applied chemical water quality tests (color-coded):

dangerous
polluted
sterile

After building my RetinaNet object detection model, I deployed my model as a fully optimized and customizable Linux (AARCH64) application (.eim) and uploaded it to UNIHIKER. Also, I developed a user interface (Tkinter-based) from scratch to allow the user to capture image samples effortlessly. UNIHIKER also sends push notifications via the given Telegram bot so as to inform the user of the model detection results by transferring the modified resulting images after running successful inferences.