From hallucinations to hardware: Lessons from a real-world computer vision project gone sideways

This article dives into the messy reality of developing a computer vision system—think cameras and AI trying to "see" like humans. The team hit major snags, from glitchy false detections (hallucinations) to hardware headaches, but eventually pieced together a working solution through trial, error, and blending different techniques. It’s a candid look at how real-world tech projects rarely go smoothly, even with cutting-edge tools.