vega Computer Vision Project
Updated 3 years ago
Here are a few use cases for this project:
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Elevator Maintenance: The "Vega" computer vision model can be used by technicians to identify and classify different types of lifts or lift parts, such as lifts and streaks, during regular maintenance. By recognizing specific aspects, it can help predict potential issues and improve preventive measures.
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Construction and Architecture: The model can be used to correctly identify lifts and streaks in the construction of new buildings. This information can assist in the planning phase, ensuring that the right equipment is installed correctly.
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Accessibility Analysis: The model can help in analyzing environments for accessibility. It can scan an area and identify where lifts are located, helping to determine how accessible a place is for individuals with physical disabilities.
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Warehouse Management: The "Vega" model can be employed to identify and track the usage of lifts in warehouses. Recognizing distinct usage patterns can help in optimizing lift usage and warehouse operations.
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Real Estate Industry: It can be used to quickly evaluate and catalogue the types and conditions of lifts in residential or commercial properties. This could aid in property assessment and inspection processes.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
vega_dataset,
title = { vega Dataset },
type = { Open Source Dataset },
author = { Enzio Velazqueoni },
howpublished = { \url{ https://universe.roboflow.com/enzio-velazqueoni/vega } },
url = { https://universe.roboflow.com/enzio-velazqueoni/vega },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { mar },
note = { visited on 2024-11-21 },
}