1M+
Millions of waste objects labeled
99%
Average Quality Score of 99%
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Efficient operations and better commercial terms for facilities
PolyPerception provides an AI-powered waste management platform to plastics and material recovery facilities, giving them visibility into their waste streams so they can operate more efficiently and responsibly. The team has partnered with Sama to help fuel this technology, to further their mission of empowering stakeholders across waste management—from recyclers to municipalities to legislators—to make more sustainable decisions about waste and its impact on the environment.
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In order to deliver actionable insights and quantitative data to their clients, PolyPerception set out to build a robust multi-object tracking model, but quickly found that the accurate labeling of data would play a key role:
Low light and fast-moving objects
Waste objects travel quickly on conveyor belts in facilities with less-than-ideal lighting conditions
Volume of waste
On average, 8 tonnes of waste passes through a waste sorting facility every hour
Diversity of required labels
Wide range of packaging types and materials, with regulations and trends constantly shifting
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Sama worked with PolyPerception to deliver high-quality labeled data to power their technology:
For PolyPerception, accurate data in waste management has cascading effects for society – a rising tide to lift all boats. With more reliable data:
The economic, social, and environmental benefits of the above are too numerous to list, but they are at the core of PolyPerception’s long-term vision of empowering stakeholders across waste management to make more impactful decisions.
The team quickly learned to distinguish between waste objects, which differ greatly from region to region. Communication channels remained open for feedback, with a continuous open discussion about how efforts were progressing.
There’s a possibility to make an impact on legislation and on the environment, but not without accurately labeled data.