All success stories
Computer vision/Computer vision/SC-30
Computer Vision Waste Detection & Sorting System
What this system is for
A computer-vision system for detecting, counting and classifying waste items and routing uncertain detections to review.
Reference economics
8 h/day review → 20% automatable → 1.6 h/day released.
Reference arithmetic, not a measured client result.
8 h/d
Reference scenario
20%
Illustrative improvement
1.6 h/d
Decision value
The success story in 30 seconds
Business problem
Detection, classification and routing need an explicit path for ambiguous objects and changing conditions.
What changed
Standardize the image input.
Business utility
The useful system combines detection quality with routing, review and continuous evidence collection.
Decision
Computer vision
System
Computer Vision Waste Detection & Sorting System
Validation
Classes · mAP50
Core stack
Python · PyTorch · Ultralytics YOLO