Project
Warehouse Parcel Monitoring System
A warehouse video-analytics pipeline for parcel-condition monitoring, OCR-assisted metadata extraction, movement tracking, and incident review.
Problem
Warehouses need practical ways to detect parcel damage, track movement, and review incidents from operational video feeds.
Approach
The pipeline combines object detection, OCR-assisted metadata extraction, movement tracking, and structured incident review APIs.
Results
The parcel detection model reached 92.7% precision, 95.0% recall, and 97.4% mAP50 in evaluation.
Limitations
Performance depends on camera angle, lighting, label quality, and the diversity of parcel conditions in training data.
Future Improvements
Improve multi-camera tracking, active learning loops, and dashboard workflows for operations teams.