Discover how the OMNI Project, with advanced AI, is revolutionizing the recycling of food-grade polypropylene, driving circularity and transforming the recycling economy. Innovative results with Recycleye, Valorplast, and TotalEnergies.
The OMNI Project, employing artificial intelligence and machine learning to distinguish and separate food-grade polypropylene from post-consumer household waste, has achieved innovative results, as reported by collaborating companies: Recycleye, Valorplast, and TotalEnergies.
The endorsing companies anticipate that these results will drive the circularity of polypropylene packaging. Nathalie Brunelle, Senior Vice President of Polymers at TotalEnergies, emphasizes that "this project not only showcases how technology can enhance the circularity of materials but also paves the way for a broader range of affordable applications for recycled polymers." Victor Dewulf, CEO of Recycleye, expresses his enthusiasm: "We are extremely excited to see this successful application of our robust AI-powered sorting technology on a semi-industrial scale.
This application opens the possibility of creating markets for recycled plastic materials and ultimately transforming the recycling economy." Alban Cotard, Quality and Commercial Development Manager at Valorplast, highlights the importance of being able to recycle food-grade polypropylene: "Being able to recycle food-grade PP is a key factor in establishing a circular economy for PP packaging.
AI is a promising path to achieve this goal." Recycleye used waste collected in five French locations by Valorplast to build and train an AI model, achieving a successful selection rate of 50% for food-grade material and a purity exceeding 95%. The material was decontaminated in a semi-industrial pilot using commercially available mechanical recycling technologies, at which point TotalEnergies employed it to produce recycled polypropylene for high-quality packaging applications.
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