TinyML in Action: Real-time Tomato Grading on ESP32
JeremyCMorgan · x · 2026-08-29
This project demonstrates an end-to-end TinyML workflow for industrial use. It processes optical sensor data to classify tomato ripeness, exports the trained model to embedded C code, and runs inference on an ESP32. Designed for industrial sorting lines, the system handles high-frequency spectral data from conveyor belts and triggers pneumatic ejection commands based on ripeness and size.
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