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USE CASE

Detection and classification of small defects such as impurities and lack of texture in very large parts of automotive flooring.

Detection and classification of small defects such as impurities and lack of texture in very large pieces of automotive flooring.

Logicmelt - Use Case - Automotive

GOAL

Inspect 100% of the product to avoid sending defective parts to the customer, which translates into an increase in quality and an improvement in brand image. The system also standardizes inspection and reduces costs in quality inspection.

TECHNOLOGIES

High resolution 2D cameras, custom AI, Edge Computing, OPC-UA, Logivision platform.

ABOUT THE PROJECT

Detection of small defects in car floor parts

In this project, we apply artificial intelligence to images of car floor parts to detect small visual defects produced during manufacturing. The aim is to assist the operator in the inspection of 100% of the product to prevent these defects from reaching the end customer. The difficulty lies in the small size of the defects compared to the large size of the part.

AI solution with high-resolution cameras and Edge processing

This problem has been solved by using two high-resolution industrial cameras to observe the texture of the material, and a custom-designed high-resolution AI. The images are processed in real time on the Edge device, providing instant feedback to the operator unloading the parts.

The system has been developed using our Logivision software, which allows defects to be visualised and stored. It also integrates with the work cell, making it easy to use through push buttons to initiate the inspection and visual and audible beacons to warn of defects.

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