Recycleye, headquartered in London, is pioneering the automation of dry mixed recyclables detection and sorting, traditionally a labor-intensive task, through its innovative use of proprietary artificial intelligence (AI) vision technology and FANUC 6-axis LR Mate robots.
The Recycleye Robotics system leverages AI-powered computer vision to identify each item in complex waste streams. At the core of this system, the FANUC LR Mate robot prioritizes the automatic separation of recyclables into distinct material classes, including plastics, aluminum, paper, and cardboard.
To combat industry labor shortages, Recycleye's AI robotic picking solution operates tirelessly, 24/7, with the capability to pick up to 33,000 items per robot during a 10-hour shift. This cutting-edge technology is a significant step forward in streamlining recycling processes, reducing reliance on manual labor, and enhancing efficiency in waste management.
AI Waste-Sorting Machines
FANUC and Recycleye Team Up to Sort Waste Using Artificial Intelligence
Trend Themes
1. Automation of Waste Sorting - Utilizing AI vision technology and robots, Recycleye is pioneering the automation of waste sorting, reducing the need for manual labor and enhancing efficiency.
2. AI-powered Computer Vision - Recycleye's system employs AI-powered computer vision to accurately identify different types of recyclables in complex waste streams, streamlining the recycling process.
3. 24/7 Robotic Picking Solution - Recycleye's AI robotic picking solution operates continuously, picking up to 33,000 items per robot during a 10-hour shift, addressing industry labor shortages.
Industry Implications
1. Waste Management - The automation of waste sorting through AI technology and robots presents disruptive innovation opportunities, reducing the reliance on manual labor and enhancing efficiency in waste management.
2. Recycling - The use of AI-powered computer vision and robotics in recycling processes offers disruptive innovation opportunities, streamlining waste sorting and improving recycling efficiency.
3. Robotics - The integration of AI vision technology and robots in waste sorting creates disruptive innovation opportunities in the robotics industry, transforming the way waste management is conducted.