Machine vision systems capture images of material as it moves along a line and use trained models to identify what each item is – its material type, colour, shape, and sometimes its condition – far faster and more consistently than a person scanning the same stream.

The result of Artificial Intelligence

What makes machine vision useful isn't just the camera – it's the artificial intelligence behind it, trained on large numbers of examples to recognise the visual differences between materials that might look similar to an untrained eye, like different types of plastic or different grades of paper.

Artificial Vision in Waste Management and Recycling

In a sorting plant, this translates directly into better separation – optical sorters use machine vision to identify each item and trigger a sorting action, whether that's a jet of air diverting plastic by type or a robotic arm picking out a specific material. The result is a sorting process that can keep up with the speed and variety of a real waste stream, something manual sorting alone struggles to do.

Related articles

Sources

Explore our solutions

More from the blog

Want to learn more about recycling automation?

Get in touch with our team to discover how PICVISA's optical sorting and robotics solutions can fit your recycling operation.