Low quality of priming often occurs on the cataphoretic priming line. Thereby it is necessary to control priming quality and track the amount of leaf-springs going to the second round as it brings big economical losses.

Task: develop software solution for detecting and counting leaf-springs and cassettes and define priming defects.

Our solution: we use computer vision methods to recognize and count leaf-springs, ensure product traceability on the production line, control priming quality, inform about losses.

Advantages

• processing a large number of video streams simultaneously
• new types of leaf-springs and cassettes can easily be added to the solution
• several operators can process events simultaneously in a convenient interface
• easy to replicate solution

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