Meler-Tecnalia Project Computer Vision Project
Updated a year ago
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Here are a few use cases for this project:
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Industrial Equipment Maintenance: This project can be used to inspect the condition of various industrial equipment components including mangueras azul y negra (blue and black hoses) and protectores (protectors). It can identify which components are in good condition, which ones are showing signs of wear and tear, and which ones need to be replaced.
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Safety Assurance in Workplaces: By identifying signals and safety warnings like rotulo superficie caliente (hot surface label), rotulo guantes (gloves label), and rotulo gafas (glasses label), the model can ensure safety protocols are being followed in the workplace. It opens up the possibility of alerting supervision when these signs are not in place where they should be.
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Electrical Systems Monitoring: With the ability to identify specific electrical components and labels such as
fuente de alimentacion negra
(black power supply),conectores PT100
(PT100 connectors), androtulo advertencia electrica
(electrical warning label), the model can be used for monitoring and maintaining complex electrical systems in an efficient manner. -
Quality Control in Production Lines: This model can be used to identify any irregularities or defective components in the production line by recognizing component classes like
chapa sin UL
(plate without UL),chapa con UL
(plate with UL), andbolsa con conectores
(bag with connectors), ensuring the quality of the products moving through the line. -
Inventory Management: By recognizing a wide range of components and classifying them correctly, this model can be used to maintain and manage inventory in a warehouse, specifically for industries dealing with similar components. This can facilitate faster inventory checks and optimizes the use of warehouse space.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
meler-tecnalia-project_dataset,
title = { Meler-Tecnalia Project Dataset },
type = { Open Source Dataset },
author = { Yarens Cruz },
howpublished = { \url{ https://universe.roboflow.com/yarens-cruz-qpxal/meler-tecnalia-project } },
url = { https://universe.roboflow.com/yarens-cruz-qpxal/meler-tecnalia-project },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { jul },
note = { visited on 2024-11-22 },
}