Manufacturing Visual QC

Quality checks were done by eye—operators watching product move down the line and trying to catch defects visually. Bad joints got through regularly, and the company only found out when customers complained. No records, no consistency between shifts, and no way to know if the problem was getting worse.

Installed an industrial camera on the production line, trained an AI on hundreds of real product images, and built custom software around it. The system captures every joint, runs it through AI that learned what 'good' looks like from hundreds of real samples, and gives operators an instant PASS or FAIL. When it flags a defect, it saves the image, sounds an alert, and logs everything. The whole interface was built for factory floor use—big clear status, defect history panel, session stats, and one-click export for quality reports.