Vision AI for smart waste sorting

The challenge: valuable raw materials disappear into complex waste streams

The waste sector is under pressure due to increasing labor shortages, rising operational costs, and the growing demand for high-quality recycling. Manual sorting makes it difficult to consistently classify waste streams and optimally recover valuable raw materials.

The solution: an intelligent observation layer on top of the sorting line

Together with Ortessa, Code for Good is developing a Vision AI solution that automatically recognises and classifies materials on existing sorting lines. The software identifies wood, plastic, PVC, plaster, foil, metal, and rubble, among others, and converts camera images into real-time operational insights.

The solution: an intelligent observation layer on top of the sorting line

Together with Ortessa, Code for Good is developing a Vision AI solution that automatically recognises and classifies materials on existing sorting lines. The software identifies wood, plastic, PVC, plaster, foil, metal, and rubble, among others, and converts camera images into real-time operational insights.

The result: more insight, higher raw material value and a scalable foundation

By continuously analysing waste streams, an objective basis is created for better sorting, higher resource recovery, and fewer manual operations. The implementation at Langezaal represents the first step towards a broader roll-out of Vision AI within the Ortessa Group.

The result: more insight, higher raw material value and a scalable foundation

By continuously analysing waste streams, an objective basis is created for better sorting, higher resource recovery, and fewer manual operations. The implementation at Langezaal represents the first step towards a broader roll-out of Vision AI within the Ortessa Group.

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person holding white labeled bottle

Vision AI for the factory of tomorrow

The challenge: manual process logging limits real-time insight

person holding white labeled bottle

Vision AI for the factory of tomorrow

The challenge: manual process logging limits real-time insight

person holding white labeled bottle

Sympany: Autonomous sorting with AI for a circular textile chain

The challenge: pollution from textiles on a global scale

person holding white labeled bottle

Sympany: Autonomous sorting with AI for a circular textile chain

The challenge: pollution from textiles on a global scale

Discover how AI and data make your business smarter, faster and more sustainable.

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How we work

Discover how AI and data make your business smarter, faster and more sustainable.

Book a demo

How we work

Discover how AI and data make your business smarter, faster and more sustainable.

Book a demo

How we work