A project designed to address the growing need for automated solutions in waste sorting, particularly in an aging workforce and a market with a high demand for sustainable operations. The project aims to leverage advanced AI and machine learning technologies to develop an automated system for detecting and sorting waste, particularly focusing on the identification of batteries and laughing gas cannisters in waste streams. This approach is not only more efficient but also enhances safety in recycling facilities.

Services
The project comprises three distinct components: Cyclops, Metes, and Argos, each tailored to specific sorting challenges and contributing uniquely to the waste management process. Argos is the big one focussed on dealing with the hardest streams, like batteries and laughing gas canisters, hidden in thick waste streams.

**CYCLOPS**
Cyclops is like the smart helper in the world of waste sorting, using a camera and a scale to figure out what kind of trash is what. It’s really good at telling different types of waste apart, thanks to its smart tech. By teaming up with companies like STATICE BV, Cyclops shows its chops in making sorting tasks partly automatic, making things faster and more on point.

**METES**
Metes is all about keeping things moving smoothly on the waste sorting line. It has this conveyor belt setup decked out with fancy sensors, including cameras and sensors that see stuff our eyes can’t. It’s working with Van Peperzeel BV to get better at picking out batteries from the bunch, aiming to sort things out quicker and smarter.

**ARGOS**
Argos is the heavy lifter for dealing with big piles of recycling stuff, especially good at spotting batteries hidden in shredded materials thanks to its X-ray vision. This is super important for keeping things safe by making sure batteri