Multi-Camera Arrays Onboard: How FPGA/MPSoC Runs Real-Time AI Inference at the Edge
When four cameras on a line all feed back to a central server for detection, bandwidth cannot keep up and latency cannot be compressed. The better path is to do capture, preprocessing and inference on the board itself, sending back only detection results and a compressed preview. This article splits the edge onboard-AI architecture into PS/PL roles, with the bandwidth budget and model deployment path.
