Surface Inspection

Inspection of Medical Microchips

With Maddox AI, the inspection of medical microchips is carried out reliably and automatically—defects such as foreign particles, scratches, or overfilling are detected with precision. This ensures consistently high quality and maximum patient safety.

Product

Medical Microchips

Industry

Electronics / Medical Devices

Total savings / year​

110-130k €

Customer Request

As a manufacturer of medical microchips, our customer demands the highest standards of precision and cleanliness. Until now, visual inspection was performed manually by several employees working in a 3-shift operation. However, manual inspection is subjective, prone to errors, and further impaired by fatigue. The result was increased pseudo-scrap rates and defective parts being delivered, leading to customer complaints.

The result: customer complaints, re-sorting actions, and high internal costs.

The goal was a fully automated solution that could be seamlessly integrated into the existing handling system while delivering maximum precision.

Before

Previous Inspection System

After

With Maddox AI

Subjective and inconsistent visual inspection despite trained staff.

Fully automated and consistent detection of all defects, even on complex surfaces.

High pseudo-scrap rate.

60% reduction in pseudo-scrap.

Before

Previous Inspection System

Subjective and inconsistent visual inspection despite trained staff.

High pseudo-scrap rate.

After

With Maddox AI

Fully automated and consistent detection of all defects, even on complex surfaces.

60% reduction in pseudo-scrap.

60%

Reduced pseudo-scrap

0

Customer complaints

100%

Digital analysis

Would you like to learn more about our solution? – Test for free now!

Maddox AI can efficiently and reliably automate the inspection of surface defects, such as scratches, burns, or stripping cuts.
By integrating Maddox AI into the existing camera system, manual re-inspection of laser bars is significantly reduced, while detection quality is improved and the OK/NOK evaluation is standardized.