Researchers at Liverpool Hope University in the U.K. created a tool that can sort materials for recycling by combining a Raspberry Pi 3 model with optical sensors and computer vision algorithms.
The tool, which costs less than £100 ($127) to build and can be integrated with any robotic material recovery system, was able to identify specific items on a conveyor belt for recycling with a 92% success rate and a baseline performance of 90%.
The researchers trained the algorithm on a database of 3,500 images of discarded items, then used transfer learning, a machine learning approach that allows artificial intelligence systems to use the knowledge gained from solving one problem to solve a different but related one.
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Abstracts Copyright © 2020 SmithBucklin, Washington, DC, USA
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