AI-Powered Object Detection and Distance Measurement using Raspberry Pi

This advanced edge-AI system integrates a Raspberry Pi 5 with a dedicated Hailo-8L AI accelerator to run real-time computer vision workloads locally. Visual data is captured continuously via the attached Pi 5 camera module. Instead of offloading heavy computation to cloud servers, the frames are processed directly on the edge using neural networks deployed through the Hailo software development kit running on the 64-bit Raspberry Pi OS Bookworm environment. The central processing unit coordinates the system, but the intensive tensor operations required for object detection are accelerated by the Hailo-8L coprocessor module. By identifying objects within the camera's field of view and analyzing their spatial characteristics across consecutive frames, the system simultaneously classifies the targets and estimates their relative distance. A high-speed SD card ensures rapid read and write speeds for the operating system and model binaries, while an HDMI adaptor and display provide visual feedback and debugging output. Because running continuous high-performance neural network inference places a heavy computational load on the hardware, the system relies on a dedicated cooling fan and heatsink alongside a robust 5V, 4A power adaptor to maintain stable electrical currents and prevent thermal throttling during extended operation.