Renault Welding Inspection

In the highly competitive automotive industry, quality control is essential to ensure the reliability of vehicles and user safety. A failure in quality control can severely jeopardize safety, result in significant financial costs, and cause substantial reputational damage to the company involved.

One of the challenges for Renault is to improve the reliability of quality control for welding seams in automotive body manufacturing. Currently, this inspection is consistently performed by a human operator due to the legal dimension related to user safety, but can have limitations, such as:

• Inconsistent inspection results due to human error.
• Detecting micro-defects in real-time.
• Consuming manual inspections, slowing down production.
• Cost of rework or recalls if defects go unnoticed.

The key challenge is to develop an AI-based solution that reduces the number of inspections required by the operator through automated pre-validation, speed up inspections, lowering costs by minimizing rework and recalls.

For defect identification, the system should provide the operator with relevant information on the location of the detected defect in the image, hence reducing the control task duration.