220530_hallway Computer Vision Project
Updated 3 years ago
Here are a few use cases for this project:
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Navigation Aid for the Visually Impaired: With its ability to identify obstacles such as people, dks, robots, and backdks, this model can be used to create an application that helps people with vision impairment navigate in indoor settings, particularly in hallways, by giving alerts when these obstacles are in the way.
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Autonomous Robotic Navigation: Robots using this computer vision model can self-navigate through narrow places like hallways, efficiently avoiding the identified obstacles, making it handy in a variety of settings, including hospitals, factories, and offices.
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Security Surveillance: The model could be integrated into security cameras for real-time detection of specific objects or individuals in hallways, safeguarding against unauthorized access and improving the overall security in buildings.
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Elderly Care Monitoring System: In senior care facilities, this computer vision model can be used to monitor the movement of the elderly, alerting staff if they encounter potentially harmful obstacles in hallways, thus ensuring their safety.
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Augmented Reality Games: The model can be used in immersive AR games played in indoor environments. It can help in rendering real-world obstacle perspectives into the gameplay, increasing the real-life simulation aspect.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
220530_hallway_dataset,
title = { 220530_hallway Dataset },
type = { Open Source Dataset },
author = { rotemforward },
howpublished = { \url{ https://universe.roboflow.com/rotemforward-uya1z/220530_hallway } },
url = { https://universe.roboflow.com/rotemforward-uya1z/220530_hallway },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { may },
note = { visited on 2024-12-26 },
}