Multi-Sensor Separation Systems

At Delft University, Faculty of Applied Earth Sciences, Department of Raw Materials Processing, research is carried out to develop sensor based quality control and sortation systems for recyclable materials and wastes. We develop advanced multi-sensor quality control and sorting systems. A flow of particulate solid materials is observed continuously by means of sensors. The main applications are the sorting and cleaning of:

Signal processing theory learns that classification of particles fundamentally improves as the number of independent features increases. The number of detectable features is a compromise between desired accuracy, throughput, and costs of the system.

Sensors extract several features from the detected particles. We apply cameras in combination with dedicated sensors for metal detection, light transmission, and spectral reflection. Classification features are for example size, texture, edge-structure, and colour intensity.

Our approach:

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