POLYPERCEPTION

This project innovates in the recycling of plastic packaging waste. Polyperception developed a model to cleverly identify individual components of residual waste. The company worked out a tool to analyse waste by using visual identification, AI and new digital techniques.

This tool allows a waste processing company to put more reusable material back into circulation and to sort at a lower cost. An AI prototype to visually identify waste streams was created. A camera system, mounted above a conveyor belt, credibly demonstrated and validated the core elements of their future commercial product. At the same time, important relationships with industrial partners were established.

It is a model that also can be used by local authorities, companies with mixed waste streams and in the events sector.

Polyperception developed an artificial intelligence-based tool for more efficient sorting of waste. With that tool, waste management companies can recycle better. With funding from the city, Polyperception is looking for a solution to process full-sleeved objects. These wrapped bottles and jars do not allow identification of the material underneath.

This project makes it possible to build AI models that recognize the underlying material. As a result, data-driven operational decisions can be made to further improve recycling rates.