Pellenc ST to launch AI-based quality control analyzer

The AI-based analyzer is designed to monitor, analyze and improve the quality of recyclables while reducing material loss.

On-site at Pellenc ST, showing a conveyor belt with waste on it.

Photo courtesy of Pellenc ST

Pellenc ST, a France-based optical sorting solutions company, has launched AISEE, an artificial intelligence- (AI-) based quality control analyzer designed to help operators achieve efficiency and quality outputs.  

The system’s purpose is to monitor, analyze and improve the quality of recyclables while reducing material losses. Pellenc ST says operators face the challenge of recovering as many valuable materials as possible while ensuring consistent quality, and AISEE addresses this by accelerating the commissioning of large-scale projects with Pellenc ST’s optical sorters and monitoring waste streams in the sorting process.  

“The AISEE is becoming a real tool for speeding up commissioning phases and aiding decision-making,” says Vincent Castaignède, director of ValcopIA, Paprec Group. 

RELATED: Pellenc ST helps plastics recycler sort its material

The company says the system improves the quality of sorted fractions through optical sorter settings and reduces recyclable material losses by identifying errors in feedback loops and providing insights into material composition.  

With AISEE, the company says operators will get real-time data, alerts on deviations or contaminants and the ability to optimize performance. 

The system is prepared for future machine-to-machine automation, Pellenc ST says, where parameter changes could be executed autonomously, minimizing human intervention while maintaining output quality. 

 

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