Case Study: Niko Group achieves faster, more accurate quality control with Robovision's computer vision AI

Ensuring non-defective injection moulds not being thrown away

The Niko Group, a European leader in electrical components, faced a significant challenge with its manual quality control process for injection-molded products. The system was inefficient and inaccurate, yielding too many false positives and false negatives, which led to wasted product and defective items passing inspection. The company partnered with Robovision to address this issue with computer vision AI.

Robovision implemented its AI platform to automate the quality inspection. This solution proved to be highly accurate, reducing the number of defective pieces that passed inspection by 33% and reducing the number of good pieces being incorrectly discarded by 72%. Furthermore, the Robovision platform can be retrained by operators in a few hours for new product types, drastically cutting down the time required compared to traditional systems and significantly reducing production waste.

Niko Group