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Low power rear view camera system for cycling to perform people detection using Tensorflow Lite for Microcontrollers

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mingyeeee/tinyML-shoulder-check

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TinyML Shoulder Check

Frequent shoulder checks for other cyclists or people while cycling can be dangerous as your attention is diverted away from oncoming traffic or obstacles. TinyML Should Check is a low power rear view camera system that performs people detection using Tensorflow Lite for Microcontrollers. This device alerts the cyclist if there is another cyclist or person behind them by flashing an LED on the handlebars.

Still a work in progress

Software Setup

Currently using model from Tensorflow lite for micros repo. Planning on training a model to include cars and bikes

Hardware Setup

  • Arducam mini 2MP plus
  • Teensy 4.0
  • Potentiometer
Arducam Pins Teensy Pin
CS 7
MOSI 11
MISO 12
SCK 13
GND GND
VCC 3.3V
SDA 18
SCL 19
Other Components Teensy Pin
LED (person detected) 2
Potentiometer (lighting mode selector) A0

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Low power rear view camera system for cycling to perform people detection using Tensorflow Lite for Microcontrollers

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