Real Package V1 Computer Vision Project
Updated a month ago
Here are a few use cases for this project:
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Postal Services Efficiency: Automate the process of sorting and damage assessment in post offices by identifying each parcel, box, or package, distinguishing between damaged or broken ones, and sorting them accordingly.
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Luggage Handling in Airports: Enhance security and efficiency at airports by identifying unattended or suspicious luggage, monitoring luggage handling for potential damages, and automating the luggage transportation system.
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Smart Surveillance System: Implement intelligent surveillance in public areas like parks, bus stations, or shopping malls to identify and track objects like suitcases, bags, and parcels for theft prevention and unattended package detection.
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E-commerce Warehouse Automation: Improve packaging and shipping efficiency in warehouses by automatically identifying, sorting, and tracking packages based on their class. Damaged packages can also be identified and replaced timely.
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Delivery and Freight Services: Enhance tracking and delivery of goods in delivery trucks and commercial vehicles. The model can identify and monitor the condition of parcels during transit, ensuring safe and efficient deliveries.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
real-package-v1-sojry_dataset,
title = { Real Package V1 Dataset },
type = { Open Source Dataset },
author = { data },
howpublished = { \url{ https://universe.roboflow.com/data-p8hlu/real-package-v1-sojry } },
url = { https://universe.roboflow.com/data-p8hlu/real-package-v1-sojry },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { nov },
note = { visited on 2024-12-18 },
}