Claiber
Quality inspection in small and medium-sized production facilities is often manual, time-consuming and error-prone. Claiber addresses this problem with a fully automated, AI-powered solution that detects and documents product deviations in real time.
The system combines precise computer vision algorithms with intelligent anomaly detection. Cameras capture the production line, analyze every part in milliseconds, and automatically report deviations to the dashboard.
This reduces inspection times, minimizes human error, and significantly cuts production downtime. Claiber integrates seamlessly into existing lines — including hardware setup, camera installation, and software configuration.
With Claiber, AI-based quality control becomes accessible for SMEs. The solution stands for efficiency, precision, and sustainability — with measurable benefits in product quality and process stability.
The project demonstrates how smart image processing and automated data evaluation can transform traditional inspection methods.
