Case Study: GRDF identifies chemicals faster and improves network safety with Devoteam and Google Cloud AutoML

GRDF launches chemical recognition app in less than two months with Devoteam

GRDF, a major French energy distribution company, faced the challenge of ensuring the safety of its gas network by enabling technicians to accurately identify chemicals encountered in the field. Partnering with vendor Devoteam, GRDF sought a machine learning solution to simplify this process, moving away from reliance on manual searches through long lists of chemical names.

Devoteam implemented a solution using Google Cloud Platform, specifically Cloud AutoML and TensorFlow, to develop a mobile application. This app allows technicians to identify chemicals simply by taking a photograph of the product's packaging. The project was launched in less than two months, and a test phase demonstrated that the app could successfully recognize 60 different products, providing technicians with immediate access to vital safety data sheets in a cost-effective manner.

GRDF (Gaz Réseau Distribution France)