tech
Your greasy pizza box is giving recyclers a headache. AI could fix that.
At Stony Brook University, researchers are developing an AI-assisted system to analyze and characterize contaminated items in recycling facilities.
TL;DR
- Contaminated recyclables, such as greasy pizza boxes, can cause entire batches of materials to be rejected and sent to landfills.
- Stony Brook University researchers are developing an AI-assisted system to improve the speed and accuracy of waste characterization in recycling facilities.
- The AI model is trained using video and audio data captured at material recovery facilities and aims to identify paper, plastics, food waste, and fabrics.
- The project's goal is to provide high-quality data and open-source models to facilitate the development of affordable and accessible AI solutions for waste management.
- Future applications may include integrating AI with robotics to automate waste sorting.
- Other companies like AMP Robotics and Greyparrot are also developing AI-powered recycling systems, though challenges remain in scaling these solutions for professional settings.