BoxOCR_2_2022 Computer Vision Project
Updated 3 years ago
44
2
Here are a few use cases for this project:
-
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.
-
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.
-
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.
-
Augmented Reality Game Development: Game developers could use this model to create AR games where players are required to find boxes with specific numbers.
-
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.
Build Computer Vision Applications Faster with Supervision
Visualize and process your model results with our reusable computer vision tools.
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 2024-11-24 },
}