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

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 file for details.