SmartSort integrates a mobile application that scans and identifies waste items using a smartphone's camera.

Residents simply point their camera at an item, and the app provides sorting instructions based on local recycling guidelines.

The app syncs with IoT-enabled smart bins equipped with sensors and cameras to detect improperly sorted waste, offering real-time feedback to users.

Additionally, users receive personalized tips and rewards for correct sorting, encouraging behavior change through gamification.

The data collected by smart bins informs municipal waste management systems, optimizing route efficiency and processing techniques.

By providing real-time, accurate information and feedback, SmartSort significantly reduces contamination rates in recycling streams, resulting in lower processing costs and improved recycling outcomes.

The personalized user experience and gamification increase user engagement and compliance far beyond traditional awareness campaigns.

The technology involved, such as AI image recognition and IoT sensors, is mature and readily available.

Initial integration with existing municipal waste systems may require pilot testing, but the modular design ensures compatibility.

While the market is competitive, few solutions offer real-time, intelligent feedback and personalization at the consumer level.