Environment / Waste sorting
SUEZ: Analysing the flow of recyclable material
- Company
- SUEZ
- Country
- France
- Adoption stage
- In operation
- Source published
- Date basis
- The date the source was published. It can differ from the date adoption started.
- How the source was checked
- Read the full source text
The work problem
In waste collection only the quantity collected used to be measured. There was no way to know which waste was mixed into which stream.
Technology and data
At SUEZ the innovation, digital solutions and recycling units built waste characterisation technology together. On collection vehicles it maps separation quality area by area. At sorting plants an arch carrying cameras is placed over the sorting line and tied to algorithms to read the waste stream. At incineration plants it finds recyclable material that should have been separated out earlier and foreign objects that could damage equipment as the waste is tipped into the feed hopper. Autodiag is the camera on the sorting line within this set. It analyses the waste stream continuously, identifies objects automatically and counts them. Operators use this information to raise the purity of the stream in real time and adjust the recovery of recyclable waste.
Results
SUEZ said Autodiag was selected in the AI for Efficiency call at the 2025 Paris AI Summit. The company explained that the tool lets operators raise the purity of the stream in real time and optimise the recovery of recyclable waste.
Limits and open questions
The source carries no figures such as recovery rate by site or misidentification rate.
Sources
- AI at the service of water and waste | SUEZsuez.com, Accessed
Compiled from public sources. These are not results from ATF Works customers.