Smart Vision in a Tiny Package: Object Detection with Nano BLE Sense & Edge Impulse!

Описание: In this project, we demonstrate how to achieve real-time object detection on the ultra-low-power Arduino Nano 33 BLE Sense using Edge Impulse. The system is trained to detect a single object per frame using grayscale images resized to 96x96 resolution for efficient performance on constrained hardware.

Using the Edge Impulse Studio, we collected, labeled, and trained our custom dataset. The model was optimized specifically for deployment on edge devices and exported as an Arduino library. The final deployment was completed using the Arduino IDE, showcasing the power of TinyML to bring machine learning to the edge with just a few lines of code.