Roboflow Universe Adela Hamplova Barcodes_mironet

Barcodes_mironet Computer Vision Project

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Here are a few use cases for this project:

Retail Inventory Management: The model can be used in retail chains and supermarkets for efficient inventory management. It will help in automatically scanning, identifying, and managing stock by reading and interpreting barcodes on product labels.
Warehouse Logistics: It could increase efficiency in warehouse management by identifying products based on their barcodes for shipping, receiving, and tracking packages.
Automated Checkout Systems: The model can be implemented in self-service checkouts in stores to scan and record purchases, cutting down on waiting times at checkout lines.
Quality Control in Manufacturing: This could be used in product assembly lines to track and verify components by reading barcodes, ensuring each part meets quality standards.
Pharmaceutical Industry: Barcodes_mironet could be applied in pharmacies or hospitals to correctly identify and manage medications, enhancing patient safety.

Trained Model API

This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.

Cite This Project

If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{
                            barcodes_mironet_dataset,
                            title = { Barcodes_mironet Dataset },
                            type = { Open Source Dataset },
                            author = { Adela Hamplova },
                            howpublished = { \url{ https://universe.roboflow.com/adela-hamplova/barcodes_mironet } },
                            url = { https://universe.roboflow.com/adela-hamplova/barcodes_mironet },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { jul },
                            note = { visited on 2024-04-16 },
                            }