According to officials, the initiative aims to make ‘Waste Electrical Electronic Equipment‘ (WEEE) a key resource in the evolution of a circular economy by establishing traceability and recovery of post-consumer e-waste in the market.
“A novel open-source solution is needed that is data enriched, leveraging the potential of transparency in formalised e-waste handling and management. E-wastes are typically either completely stripped down for precious metals and other high-value materials or dumped in landfills, without exploring potential re-use and repurposing options. Unscientific recycling methods are harmful for waste handlers and the environment,” said Sudhir Chella Rajan, Faculty Member, Indo-German Centre for Sustainability (IGCS), IIT Madras.
“E-Source is a unique open-source platform that will evolve towards using machine learning for better traceability of e-waste in compliance with guidelines and help increase the opportunities for repair and re-use of e-waste,” he said.
This will potentially improve livelihoods for youth and women in peri urban settings by upgrading their skills and improving occupational health and safety, reduce the flow of toxic materials in waste streams and broaden the market for affordable, second-hand e-devices, he added.
The team claimed that it has already completed initial market research and mapping of the various stakeholders through direct on-the-ground and telephonic conversations and consultations combined with secondary research.
Rajan said the beta version of the online platform is ready and the team is now looking at more collaborators from the ecosystem, especially informal e-waste aggregators, to kick-start the pilot run. The IGCS team has also begun talks with a few partners.
“A unique aspect of the e-Source initiative is that the team would be deploying a detection system that uses a combination of image processing and natural language processing techniques to extract product information and upload it to the database,” he said.