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USE CASE

Accurate detection of 3D cutting defects in automotive by artificial intelligence

Detection of defects in perimeter cuts and holes in automotive floor parts using 3D camera technology.

defecto de corte

GOAL

Inspect 100% of the product to prevent incorrectly dimensioned parts from reaching the customer and not fitting the vehicle. This results in improved quality and improved brand image, as well as reduced inspection costs.

TECHNOLOGIES

High resolution 3D camera, 3D point cloud processing, OPC-UA, Logivision platform.

ABOUT THE PROJECT

Point cloud processing to detect cutting errors in automotive parts

In this project, we applied point cloud processing to 3D captures of automotive floor parts to detect cutting errors. We compare the scanned clouds with a correct part reference and detect differences. If discrepancies exceed the allowed tolerance, they are marked in red and an error is generated, providing instant feedback to the operator.

Logivision integration and visualisation

The system was developed using our Logivision software, which allows 3D point cloud visualisation and defect storage. In addition, it is integrated with the work cell, making it easy to use by means of push buttons to start the inspection.

The image shows an example of the detection of three uncut plugs, identified by the tool.

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