Machine Vision Waste Sorting
Machine Vision Waste Sorting
technology application

Machine Vision Waste Sorting

2
domains
8
stories
7
SDGs
updatedMar 17, 2021
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Maciej Bledowski @ Maciej Bledowski

Powered by machine vision and equipped with sensors, this robot is designed to identify, classify and sort different types of waste materials.
Powered by machine vision and equipped with sensors, this robot is designed to identify, classify and sort different types of waste materials.

In a waste sorting facility, advanced cameras and computer systems visually identify and target specific objects based on colors, shapes, textures, and logos, to guide robotic arms over conveyor belts carrying waste. Robotic fingers with sensors are attached to the arms to pick out recyclable items and place them in respective bins at speed, using vacuum grippers. Machine vision waste sorting robots can accurately target and process a vast range of objects, regardless of their condition, picking up to 6,000 pieces per hour.

Machine vision and deep learning allow decision-making to be automated, with the technology becoming more accurate over time. Separate robots can be deployed to fulfill different functions, for example, sorting materials and quality control. Some human oversight is still required, which can be done from a control room.

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8 stories
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  • Environment & Resources
  • Retail & Logistics
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  • Biological Diversity
  • Environment Policy, Economics, and Management
  • Green Economy
  • Global Health
  • Green and Climate Finance
  • Mitigation of Green House Gas Emissions
  • Natural Resources
  • Oceans and Coasts
  • Waste Management and Circular Economy, Resource Efficiency
7 SDGs
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  • 09 Industry, innovation and infrastructure
  • 11 Sustainable Cities and Communities
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  • 17 Partnerships for the Goals
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