Real-time Waste Classification using Quasar

In a collaboration with VITO, Suez and Umicore and with support of EIT Raw Materials, we designed a waste classification algorithm which was fully implemented in Quasar. High-speed and real-time processing were part of the requirement, the conveyor belt rolls at a fast, industrial speed. Therefore, the sensors must be able to analyze the waste streams quickly enough, just like the software and algorithms have to process all measurements within a few seconds. The faster you can process data, the more waste you can characterize in a short time. Working faster also means quicker calculations, so we had to optimize the processing speed of the algorithms.

By using Quasar technology, the critical part of the processing chain could be off-loaded to the GPU, and a processing speed was obtained that is 133 times faster than a CPU-only implementation.

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