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Quality control analysis for waste sorting

Pellenc is launching AISEE, an AI-based quality control analyser designed to support operators in achieving high efficiency and top-quality outputs. AISEE focuses on monitoring, analysing, and improving the quality of recyclable fractions, while reducing material losses.
Quality control analysis for waste sorting
Copyright: Pellenc
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As waste streams grow increasingly complex, operators face a dual challenge: recovering as many valuable materials as possible while ensuring consistent quality. AISEE addresses these challenges by accelerating the commissioning of large-scale projects with Pellenc’s NIR optical sorters and continuously monitoring waste streams at key points in the sorting process.

The system improves the quality of sorted fractions through precise fine-tuning of optical sorter settings and reduces recyclable material losses, identifying errors in feedback loops and providing detailed insights into incoming waste composition. Operators gain real-time data, alerts on deviations or contaminants, and the ability to optimise performance with our expert guidance.

More than just a product, AISEE is part of a broader performance strategy. Its native OPC UA connectivity with Mistral+ Connect optical sorters allows faster adjustments and simplified fine-tuning. At the same time, on-site support from Pellenc dedicated technicians ensures that data-driven insights translate into actionable improvements. This human expertise complements the technology and guarantees stable, measurable gains in both quality and efficiency.

Looking forward, AISEE is “M2M ready”: the system is prepared for future machine-to-machine automation, where parameter changes could be executed autonomously, minimising human intervention while maintaining consistent output quality.

Data collected by AISEE is securely presented via the Smart&Share web application, ISO 27001 certified, allowing operators to access dashboards and reports remotely and make faster, smarter decisions.

Source: Pellenc
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