BoxOCR_2_2022 Computer Vision Project
Here are a few use cases for this project:
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Parcel Sorting Automation: The BoxOCR_2_2022 model could be used in warehouses or postal offices for the automated sorting of packages based on the number code written on each box.
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Smart Inventory Management: Retailers or wholesalers can use this model to keep track of their inventory by scanning box numbers and comparing them with database records.
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Quality Control in Manufacturing: Manufacturers could use BoxOCR_2_2022 to identify and sort products based on the numbers on their packaging boxes, helping significantly in quality control and process optimization.
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Augmented Reality Game Development: Game developers could use this model to create AR games where players are required to find boxes with specific numbers.
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Real-Time Tracking in Logistics: Logistics companies could use this model to help with real-time tracking and localization of specific packages, improving efficiency and reducing errors in package handling.
Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
boxocr_2_2022_dataset,
title = { BoxOCR_2_2022 Dataset },
type = { Open Source Dataset },
author = { Mursaleen Hassan },
howpublished = { \url{ https://universe.roboflow.com/mursaleen-hassan/boxocr_2_2022 } },
url = { https://universe.roboflow.com/mursaleen-hassan/boxocr_2_2022 },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { mar },
note = { visited on 2024-05-14 },
}
Connect Your Model With Program Logic
Find utilities and guides to help you start using the BoxOCR_2_2022 project in your project.