New system launched that visualises and extracts lithium-ion batteries and other hazardous items from waste streams using advanced vision systems and machine-learning technologies.
A partnership between University of Manchester academics and Lion Vision, a North West-based Artificial Intelligence (AI) specialist, developed the Lion Vision system.
University of Manchester said the system uses real-time analytics to identify where the flammable batteries are in the waste stream and how they should be removed.
The team of entrepreneurs behind Lion Vision, along with the University, successfully applied to the Knowledge Transfer Partnerships (KTP) programme run by Innovate UK and was given a grant of more than £125,000 to assist with the project.
They partnered with Professor Hujun Yin, Professor of Artificial Intelligence in the School of Engineering, as part of the development process.
As waste passes underneath it, the Lion Vision system can analyse over half a million images in a 24-hour window and detect more than 600 cylinder batteries per hour, University of Manchester said.
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