Elevator Object Detection Dataset and Pre-Trained Model by Saga University

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Explore Dataset

Here are a few use cases for this project:

Elevator Maintenance and Fault Detection: The "Elevator" model can be utilized for detecting faulty or dysfunctional buttons in a building's elevator system. Maintenance staff can use the model to quickly identify which button(s) require attention or replacement, streamlining the process and reducing downtime.
Accessibility Assistance: Visually impaired users could benefit from this computer vision model. By integrating the "Elevator" model with a smartphone app, it could help visually impaired users identify the correct buttons to navigate inside the elevator while providing audio feedback with button descriptions.
Smart Elevators: The "Elevator" model can be incorporated into an IoT-based elevator control system. By recognizing user inputs and dynamically adjusting the elevator's operation schedule, smart elevators could minimize wait times and reduce energy consumption while optimizing overall efficiency.
Security and Surveillance: Property managers and security personnel can use the "Elevator" model to keep track of button usages within the building, aiding in analyzing foot traffic and providing insights into potential security risks. For example, detecting unusual activity like repeated use of certain buttons that could indicate unauthorized access.
Virtual Reality or Gaming Environments: The "Elevator" model can be utilized in creating more realistic virtual environments or gaming experiences by providing accurate simulations of elevator buttons and their respective functions. Users can interact with realistic elevators and practice navigating through complex building layouts, enhancing immersion and gameplay experience.

Trained Model API

This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.

Cite This Project

If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{
                            elevator-808nw_dataset,
                            title = { Elevator Dataset },
                            type = { Open Source Dataset },
                            author = { Saga University },
                            howpublished = { \url{ https://universe.roboflow.com/saga-university-otx4a/elevator-808nw } },
                            url = { https://universe.roboflow.com/saga-university-otx4a/elevator-808nw },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { aug },
                            note = { visited on 2024-06-18 },
                            }