Innovative Waste Recycling: AI and Robotics with Areeb Malik, Co-founder of Glacier

Hardware to Save a Planet · 18 Aug 2022 · 41m · Episode 7

AI in practice: one real use of AI described

What this episode covers

Areeb Malik, co-founder of Glacier, explains how his company uses AI and robotics to automate sorting at Materials Recovery Facilities (MRFs), addressing the industry's labor shortages and contamination issues. He details the technical challenges of computer vision for trash classification and robotic end-effectors, noting that Glacier's custom-designed robots cost 60% less than competitors and offer a payback period of under two years. Malik also discusses the impact of China's 'National Sword' policy on global recycling markets and the growing demand for recycled content driven by legislation and consumer pressure.

AI in practice

Where this conversation describes AI being used to build or deliver a product. Part of the AI in practice tracker.

Engineering & simulationobject detection computer vision model

Glacier trained a neural net on hundreds of thousands of manually tagged images of trash on conveyor belts to identify and classify recyclable items like bottles and cans for robotic sorting.

“we take 100s of 1000s of images of trash on conveyor adults … we manually tag those images … feed that to the model. It can then be trained on that. So if it's seen a 1000 water bowels for odds are, if you show it in a 1000 and 1st it'll be able to identify without hitter seeing it before.”

Speaker 2 · Hear it at 26:10

Mentioned

Companies
Glacier, Facebook, Heirloom Technologies, Ellen MacArthur Foundation, Coke, Nestle
Tools
disk screen

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