Goals
– build accurate garbage recognition system and
implement it to three sorting devices of different scales
– improve recycling process & allow users to make money
Solution
– hardware: 3 high-resolution cameras + lightning, sorting
machines
– software: deep neural network and proprietary
algorithms for image processing
Results
– precision varies from 94 to 97 % depending on the trash
category
– inference time around 100 ms with several cameras