Surface Inspection, Retrofit
Maddox AI retrofitted onto a Keyence system delivers robust 100% inline inspection of strip metal parts—catching slug marks, scratches, impact damage, and missing holes while cutting false rejects and manual readjustment.
Strip metal parts
Automotive
€110–130k

Our customer manufactures strip metal parts and stamped metal components for the automotive industry and its suppliers. Multiple product variants must be inspected for typical defects that can occur during the stamping process. The main focus is on slug marks on the top side of the parts, scratches, impact damage, and incompletely punched hole patterns. Quality control had to be performed as a 100% inline inspection directly on the production line. At the same time, the inspection system had to maintain a cycle time of less than one second per part, including image capture and AI evaluation. Another key requirement was robust detection across different variants, even when material surfaces changed, lot-to-lot variation occurred, or lighting conditions shifted slightly. It was especially important that the existing inspection setup did not need to be replaced completely. For that reason, the application was implemented as a retrofit of the installed Keyence system: the existing camera infrastructure remained in place, while Maddox AI took over the inspection intelligence via an edge device.
Maddox AI replaces rule-based logic with an AI-powered inspection system. This enables robust defect detection across different product variants while reducing false rejects.
Cycle time per part
Effort required for variant adjustments
Less false reject and less manual reinspection

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