The single biggest barrier to successful consumer waste diversion is the lowly trash bin. We listened to dozens of Corporate Sustainability Directors, Municipal Waste Managers, Commercial Recyclers and Composters and heard one problem they all had common trying to implement waste diversion programs: Improper disposal at the waste sorting bin will entirely defeat their best efforts. When one waste stream contaminates another, recycling and composting efforts are compromised, simply due to lack of consumer knowledge and poor or non-existent signage.
Our solution was an Internet of Things device that utilizes the same Computer Vision technology in self-driving cars to positively identify waste materials, logos, and objects to direct proper disposal of waste. Artificial Intelligence and Machine Learning deliver predictive analytics on consumer patterns, behaviors, preferences, geo-spatial, and End-of-Product-Life data valuable to advertisers, manufacturers, and facility owners.