AMCS Vision AI is our artificial intelligence driven, computer vision solution designed to digitize images of resource streams and service events to provide operators with automated and continuous insights into their (waste) streams. It consists of a camera and recording device which provides images to the AI engine. The system can be fitted to a variety of assets including collection vehicles and compactors. There are a wide range of applications including: > Automated Material Identification to identify contamination in recycling material and to link it to the waste producer. > Material composition analysis to understand the granular components of the resource stream being collected/or being processed at scale, loading bay, sorting line etc. > Service exceptions requiring follow up such as overloaded containers, blocked access etc. > Safety items such as hazards in the material stream, driver safety issues etc.

We are very excited to announce the launch of Bollegraaf ONE – a next-generation digital environment designed to transform the way recycling plants are monitored, managed, and optimized. At a time when recycling facilities face increasing pressure from changing material streams, tighter quality requirements, labour shortages, rising costs, and the need for maximum uptime, Bollegraaf ONE introduces a new way forward: clearer decisions, faster responses, and smarter operations. Bollegraaf ONE combines decades of recycling process knowledge with advanced analytics and Al-driven technologies. It has been developed in close collaboration with WaDaCon, a waste data consulting firm for the recycling industry that delivers AI optimizations of recycling plant performance, and powered by Greyparrot, the leading waste intelligence platform, with the largest global deployment of AI waste analytics. Bollegraaf ONE is built around three powerful principles: Observe – gain full visibility across the plant through live dashboards, machine data, bunker levels, throughput monitoring, key performance indicators. Navigate – identify root causes, detect anomalies early, prioritize actions, and receive intelligent recommendations that help teams make better decisions faster. Evolve – move toward predictive and autonomous operations with continuous optimization, hazard forecasting, adaptive settings, and smarter maintenance planning. The result is a plant that becomes more transparent, more predictable, and more efficient every day.

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