AI-powered real-time waste flow monitoring
Edition
2022
Challenge
Advanced Sorting and Recycling Technologies
Technology
Artificial intelligence (AI) & machine learning, Computer vision & image analysis, Data analytics & dashboards
Value Chain
Selective Disposal, Collection & Sorting, Recycling
To solve this, the pilot involved the installation of a camera with integrated software in the rear-loading area of the collection vehicle. As each container is emptied, the system performs automatic, real-time characterization of the materials entering the hopper. This enables continuous monitoring of selective material flows and provides granular data on: composition of each load, identification and tracking of contamination sources, quality and quantity of material delivered to the sorting center.
The insights generated support optimized routing, better processing flows, and more targeted awareness campaigns focused on improving material purity at origin.
By combining computer vision and data analytics with real operational contexts, this pilot demonstrates how digital monitoring technologies can significantly improve recycling system efficiency and strengthen the foundations for a more circular and data-driven waste management ecosystem.
Explore Further
A Amarsul no Re-Source: um caminho de enriquecimento e conhecimento
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