Increased recycling potential at waste management facilities thanks to AI

Keymakr, a data annotation service provider, partners with Recycleye, a developer of digital tools for detecting and providing analytics on waste management, to help reduce the amount of recyclable materials that go into landfills.
Copyright: Keymakr

Despite the growing prevalence of recycling facilities and infrastructure in many parts of the world, an estimated 91 percent of plastics end up in landfills. Waste-management sorting facilities aim to reduce the amount of waste getting buried in landfills by separating anything that can be reused, including for industrial and agricultural purposes. With the goal of promoting a healthier environment and being thrifty, sorting waste comes with many inherent risks. Dividing waste from reusable materials is a grueling and dangerous task that leaves workers vulnerable to harmful substances and contaminants, workplace injuries, and other dangers.

Recycleye leverages Keymakr’s advanced computer vision AI to assist in running its ML models. Recycleye sends Keymakr relevant data to be labeled prior to it being returned and then integrated into the ML models. Part of this process involves Keymakr helping identify edge cases that occur during the sorting process, allowing the ML models to better recognize objects that otherwise would have been sorted incorrectly. Through this collaboration, waste management sorting facilities are able to recycle more materials.  

The partnership with Recycleye comes on the heels of Keymakr’s partnership with SeeChange and the launch of Keylabs, its purpose-built SaaS platform. Keylabs enables all companies, regardless of whether they have data annotation teams, to leverage Keymakr’s uniquely effective annotation capabilities. Keylabs’ easy-to-use interface improves the speed of annotation and data sets while ensuring accuracy through its QA abilities. 


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