AI and Metaverse to Achieve Zero Defects in Production

Metaverse Planet July 7, 2025Last Updated: July 7, 2025

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Renault Group aims to perform 1,000 AI-powered checks per vehicle across all its plants by 2027, with the goal of reducing production errors to zero. In 2023, Renault Group’s “Industry and Quality” Division launched the “Re-Industry 2027” plan to achieve a profound transformation in many areas.

The group aims to contribute to shortening vehicle development times, saving energy in production, and improving manufacturing times. Having reached the halfway point of the plan, the group has already achieved more than half of its targets across its facilities in various parts of the world.

The group, which has also implemented the metaverse in production and other processes, employs 61,000 people across 25 facilities in 13 countries. Renault Group, which has trained 15,000 employees in AI since 2020, will provide 1,000 AI-powered checks per vehicle across all its plants by 2027 (currently 800 in Palencia).

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Reducing Part Count

To cut costs, the group also aims to reduce the number of parts in vehicles. For example, the new Twingo’s part count is 25% lower than that of the Mégane. While the group spent 3 years developing the Renault 5 and 4 years for the Mégane electric, the new system has shortened the Twingo’s development time to 2 years.

The Renault 5 is already produced in 10 hours in Douai, and there has been a 26% improvement in energy performance from 2021 to 2024. Thanks to the industrial metaverse implemented in all facilities, all operations, including the most fundamental ones, can be supervised globally in real-time.

Nissan’s New Micra From Renault

Thierry, Renault Group’s Chief Industrial and Quality Officer, stated that their factories are currently operating at 90% capacity. He added, “To optimize capacity utilization, we are meeting the production requirements of partner companies on our lines, such as Geely in Curitiba, Brazil; the Nissan Micra in Douai; a small electric vehicle project for Nissan in Europe; and Polestar in Busan, South Korea. To create more value, we are challenging our own manufacturing operations.

For example, we are assembling Twingo seats and bumpers ourselves at our Novo Mesto plant instead of purchasing them externally. Regarding technology, we are focusing on expanding state-of-the-art automation on our lines, deploying digital capabilities scalably across all our facilities, and continuously improving excellence by implementing standards and sharpening our technology skills.”

Coming to Oyak Renault

The extensive AI deployment used to detect defects in production lines, which we observed at the meeting in the Palencia factory in Spain, prevents quality incidents in production flows. Today, the target is 1,000 AI-powered checks per vehicle across all plants by 2027, up from 800 AI-powered checks per vehicle in Palencia. Video-assisted AI tunnel systems, created with a tunnel system, also detect manufacturing defects in vehicles such as paint, trim, and body gaps.

The Palencia facility is developing a portable 3D scanner to perform geometric measurements on parts in less than 30 minutes at any point of installation. The 3D scanner examines the part’s geometry and compares it with existing patterns to identify any inconsistencies with high precision, ensuring part quality and compatibility. Systems equipped with 30 cameras taking up to 130 photos per vehicle use deep learning algorithms to accurately detect visual defects. The use of AI-powered video tunnel systems is also aimed for Oyak Renault facilities.