Environmental Services
Active
AI Technology Reduces Recycling Contamination by 30%
Project Overview
This innovative system equips recycling trucks with cameras, GPS, and onboard computers to automate waste audits. Utilizing machine learning algorithms, it identifies contaminants in recycling streams and provides tailored educational feedback to individual households. By streamlining the waste audit process, the solution reduces the time, costs, and resources associated with manual audits, thereby improving recycling efficiency and environmental outcomes.
Key Features
• Automated Waste Audits: Cameras and sensors on recycling trucks capture data on waste materials, which is analyzed in real-time to detect contaminants.
• Machine Learning Identification: Advanced algorithms classify waste types and identify non-recyclable items within the recycling stream.
• Personalized Household Feedback: Residents receive customized educational materials based on their specific recycling habits, promoting better waste management practices.
• Data-Driven Insights: Aggregated data provides municipalities with comprehensive insights into waste generation and diversion patterns, aiding in policy formulation.
AI Risk Assessment Framework
No risk assessments available.
Project Details
Government
Regina, Saskatchewan
Company
Prairie Robotics
Estimated Cost
Not specified
Status
Active