https://github.com/franklinkemta/container-id-ocr
Shipping containers management, Detection, Identification and Reporting using YOLO and OCR
https://github.com/franklinkemta/container-id-ocr
Last synced: 2 months ago
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Shipping containers management, Detection, Identification and Reporting using YOLO and OCR
- Host: GitHub
- URL: https://github.com/franklinkemta/container-id-ocr
- Owner: franklinkemta
- License: mit
- Created: 2025-01-17T10:38:14.000Z (4 months ago)
- Default Branch: main
- Last Pushed: 2025-01-17T12:09:14.000Z (4 months ago)
- Last Synced: 2025-01-17T12:27:32.383Z (4 months ago)
- Language: Python
- Size: 370 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Shipping Containers Assets List Management (WIP)
Detection, Identification, and Reporting using YOLO and OCR
## Overview
shipping container asset list management in yard, using YOLO for detection and OCR for identification of container IDs.
## Features
- **Container Detection**: Uses YOLO to locate container IDs in images, even in challenging conditions like obstructions or noisy environments.
- **OCR Integration**: Extracts asset IDs from localized regions using Tesseract or EasyOCR, with error correction for common artifacts.
- **Inventory Reconciliation**: Compares extracted IDs against an inventory list to identify discrepancies (missing or extra containers).
- **Automated Reporting**: Outputs results in CSV format and integrates with platforms like Power BI for visualization.
## Prepared dataset (data folder)
- **Raw containers images**: containers-dataset.zip
- **Cropped containers images not ID-localized for OCR**: cropped_images.zip
## Tool used for dataset sourcing
[**oneclick-image-downloader-extension**](https://github.com/franklinkemta/oneclick-image-downloader-extension)
## Dataset sourcing references
- https://www.container-xchange.com/blog/container-number/
- https://www.vivacontainers.com/shop/ca/alberta
- https://www.atscontainers.com/en/contact/calgary/
- https://targetbox.ca/product/20ft-shipping-container/
- https://onsitestorage.com/sale-shipping-containers/
## TODO
- Train custom YOLO model for localized container id detection
## License
This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.