Case study ·
Case study: How Babynov automated the inspection of its metal tins using artificial intelligence
Original title, in French: “Retour d'expérience : Comment Babynov a automatisé le contrôle de ses boîtes métalliques grâce à l'intelligence artificielle - Agro Media”
- Publication
- Agro Media (France)
- Author
- Unsigned
- Published on
- 17 September 2026 · read in the publisher's feed · updated on 16 June 2026
Summary
Babynov, a Materne group company specialising in infant cereals, has modernised quality control of its metal tins at its Courmelles site (Aisne), in partnership with Psycle Research, a French AI machine vision company. The system combines cameras and machine learning algorithms that detect defects (dents, deformations, ovalisation) and automatically eject non-compliant tins without interrupting production. According to Psycle Research, the performance rate reaches 99.97%. The company, which had no prior experience of AI machine vision, had to go through a co-development phase with the supplier. Beyond quality control, Babynov has seen fewer line stoppages and is now considering automating other inspection stations on its production lines.
Summary based on the full text of the article.
Read the article on Agro Media →Figures cited
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99.97 %
Performance rate of the AI vision inspection system
Courmelles site, Babynov
« le système déployé sur le site de Courmelles atteint un taux de performance de 99,97 %. »
Source: Psycle Research
Classification
- Country
- France
- Company size
- Large companies
- Industries
- Agriculture and food production
- Companies
- Babynov (deploys AI), Psycle Research (supplier), Materne (cited)
- Keywords
- machine vision, quality control, food industry, automation, packaging
Entry written by Marsanne Studio from the cited article, with the help of an AI model (claude-sonnet-5). The rights to the article and its illustrations belong to Agro Media. Entry translated from French by Claude Sonnet 5.5.