material recovery facility
ep.366: Deep Learning Meets Trash: Amp Robotics' Revolution in Materials Recovery, with Joe Castagneri
In this episode, Abate flew to Denver, Colorado, to get a behind-the-scenes look at the future of recycling with Joe Castagneri, the head of AI at Amp Robotics. With Materials Recovery Facilities (MRFs) processing a staggering 25 tons of trash per hour, robotic sorting is the clear long-term solution. Recycling is a for-profit industry. When the margins don't make sense, the items will not be recycled. This is why Amp's mission to use robotics and AI to bring down the cost of recycling and increase the number of items that can be sorted for recycling is so impactful.
Artificial intelligence for recycling: AMP Robotics
Globally, AMP has estimated that more than USD 200 billion worth of recyclable materials goes unrecovered annually. The economics and efficiency of identifying and sorting paper, plastics, metals, and other recyclables from the waste stream creates a major challenge for material recovery. In recent years, the waste industry has also faced stricter international quality standards for contamination-free imports of recyclable materials, leaving the industry in search of cost-effective ways to meet these requirements. AMP's technologies allow more recyclables to be captured from waste streams, producing a greater volume of high-purity secondary resources. In one recycling centre in Virginia that installed the technology, the volume of recycled material increased by 10%.