Wheelchair Detection Computer Vision Project

MobilityAids

Updated a year ago

Description

Here are a few use cases for this project:

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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

LICENSE
CC BY 4.0

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 },
                            }
                        
                    

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