Automated Barcode Detection & Data Extraction from Videos
This project automates the process of barcode detection and data extraction from video streams. Instead of manually scanning barcodes one by one, the system processes recorded or live video feeds, detects barcodes, and stores extracted information into structured CSV files.
Impact: Saves hours of manual work, reduces human errors, and integrates easily into existing warehouse or logistics systems.
Each video frame is analyzed to detect potential barcode regions.
Uses deep learning (YOLO) and OpenCV to accurately identify barcode positions.
Decodes barcode content and logs it in real-time.
Generates a CSV report with barcode IDs and timestamps for business analytics.
Developed by Aalaa Amer — For warehouse & logistics automation