Maddox AI enables the automated detection of typical coating defects such as scratches, inclusions, or paint residues – fully integrated into the customer’s existing robotic system.
Product
Industry
Total savings / year
Our customer coats around 15,000 magnetic switches every day. Quality control is currently carried out manually by four employees. Despite their great care, subjectivity and fatigue lead to misclassifications, resulting in unnecessary scrap, higher costs, and customer complaints.
Our goal:
To integrate fully automated quality control into the existing robotic system.
Manual visual inspection by four employees.
The fully automated inspection system was integrated directly into the existing robotic cell.
Misclassifications due to subjective assessments and operator fatigue led to scrap and potential complaints.
85% reduction in false rejects and missed defects.
Inspection results were not digitized, preventing structured root cause analysis for the production of NOK parts.
Thanks to the digitized inspection process, process optimizations could be implemented (e.g., direct feedback loop to machine settings).
Manual visual inspection by four employees.
Misclassifications due to subjective assessments and operator fatigue led to scrap and potential complaints.
Inspection results were not digitized, preventing structured root cause analysis for the production of NOK parts.
The fully automated inspection system was integrated directly into the existing robotic cell.
85% reduction in false rejects and missed defects.
Thanks to the digitized inspection process, process optimizations could be implemented (e.g., direct feedback loop to machine settings).
Payback period
Fewer false rejects
Inspected parts per day
Would you like to learn more about our solution? – Test for free now!
We are ISO 27001 certified.
