Wheelchair Detection Computer Vision Project
Updated a year ago
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Here are a few use cases for this project:
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Accessibility Assessment: The model could be used to analyze populated areas in real-time to spot potential accessibility issues for people using wheelchairs and assist in designing more wheelchair-friendly spaces.
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Aid for Self-Driving Vehicles/Autonomous Robots: In the development of self-driving vehicles or autonomous robots, this model would help in identifying and navigating around wheelchairs or people using similar mobility aids to avoid accidents and mishaps.
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Security Surveillance: Surveillance systems could utilize this model to ensure safety for people with disabilities by identifying when someone in a wheelchair is present and potentially assisting in emergency situations, e.g., through allocating resources or alerting personnel.
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Augmented Reality for Disabled: The model can be used to develop an AR app that provides information about wheelchair navigation routes, ramp location, and obstruction to people with mobility impairments.
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Health Care Facilities: In hospitals or nursing homes, this model could aid in tracking movement of wheelchair-bound patients or residents for their safety and monitor if assistance is needed.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
wheelchair-detection-hh3io_dataset,
title = { Wheelchair Detection Dataset },
type = { Open Source Dataset },
author = { MobilityAids },
howpublished = { \url{ https://universe.roboflow.com/mobilityaids/wheelchair-detection-hh3io } },
url = { https://universe.roboflow.com/mobilityaids/wheelchair-detection-hh3io },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { aug },
note = { visited on 2024-11-04 },
}