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Waste Sortation Deep Learning-Based Solutions Guide

Waste sortation happens at many levels of society, from the general public using at-home bins to separate recyclables, to city-wide collection programs, to mass recycling at materials recovery facilities. Larger-scale facilities utilize high speed, automated sortation systems to streamline their operations. However, to meet increasingly demanding recycling requirements and maintain costs, it is crucial that these systems deploy the latest technologies, like deep learning. 

Using Cognex Deep Learning solutions, waste treatment plants can:

  • Automate waste sortation, material audit and classification, and purity scoring
  • Achieve peak operational efficiency
  • Generate the highest purity grades for recycled materials

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