Bike Eye

Objectives

• Detect cars behind cyclist and alert the cyclist audibly and visually
• Provide a cheaper alternative to cycling radars like Garmin Varia

Process

• Tested an ultrasonic rangefinder, but its range was too limited
• Decided to use an ESP32 camera board with a machine learning model to detect cars
• Programmed in C++ using ESP-IDF
• Code based off of TensorflowLite image classification and Espressif SD Card examples
• Initial version of firmware only collects photographs and saves to SD card
• Collected about 1100 images to train ML model
• Designed case in Onshape, 3D printed in PLA
• Used velcro to attach electronics
• Powered by Li-Ion Battery

Future Work

To complete this project, I will need to:

• Add TensorflowLite model to firmware
• Create alert system
• Buzzer, if loud enough, or display mounted to handlebars
• Expand case
• I think a larger battery will be necessary
• Road-test completed device and collect more photos for continued training