Container Shipping Number2 Computer Vision Project
Here are a few use cases for this project:
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Shipping and Logistics Management: This model can be used in ports and shipping yards for automatic inventory management by identifying and tracking containers based on their numbers and iso-types. It could help to reduce errors in manual documenting and increase operational efficiency.
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Automated Loading Systems: The model can be implemented within an automated loading system on cargo ships or in warehouses to ensure the correct containers are loaded onto the right transport based on their container numbers and type.
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Customs and Border Protection: Customs officials could use this model to locate specific containers for inspection or monitoring, streamlining the process, and enhancing security at points of entry.
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Lost Container Recovery: In a scenario where a container is lost, this model could assist in locating and identifying the missing container based on its unique number and iso-type, reducing costs and time associated with lost cargo.
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Insurance Claims Processing: Following an incident, insurers could use this model to quickly and accurately identify the involved containers, accelerating the claims process, and reducing fraudulent activities.
Cite this Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{ container-shipping-number2_dataset,
title = { Container Shipping Number2 Dataset },
type = { Open Source Dataset },
author = { Dany Ardyansyah },
howpublished = { \url{ https://universe.roboflow.com/dany-ardyansyah/container-shipping-number2 } },
url = { https://universe.roboflow.com/dany-ardyansyah/container-shipping-number2 },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { sep },
note = { visited on 2023-09-22 },
}