⚡️🤖 WATCH - AI in robotics gets all the attention right now, but sometimes the most interesting work is very practical.

Viet built a small vision system that counts potatoes on a conveyor belt. No giant dataset. No huge model. Just a clear problem and a smart setup.

He used Ultralytics’ ObjectCounter, trained a tiny YOLO11 nano model, and because there was no potato dataset, he annotated a single frame with SAM 2 and trained from that. One frame. Still works across the whole video.

It is a good reminder that useful AI in industry often looks like this.

Focused. Lightweight. Solves a real task.

If you work in manufacturing or robotics, these small systems are usually the fastest wins. They save time, reduce errors, and do not need massive infrastructure.

https://blossom.primal.net/ec2c98d3aa1fcdab0ba818e134456e24012c179a1ac8177d14933f0a078a2fdd.mp4