Virtual Vision Doors Computer Vision Project
Updated 2 years ago
Here are a few use cases for this project:
-
Smart Home Security: The Virtual Vision Doors model can be integrated into smart home systems to monitor the status of doors in real time. By classifying doors as closed, semi-open, or fully open, it can alert homeowners about potential security risks.
-
Retail Store Analytics: In retail stores, this model can be used for analyzing customer behavior by tracking the frequency and times when doors are opened or semi-opened. This data can help improve store management and optimize customer flow.
-
Healthcare Facilities: In hospitals or care homes, this model can assist in monitoring patient safety by keeping track of door statuses. It can alert staff if a patient with limited mobility is attempting to open a door or if a door in a restricted area has been left open.
-
Augmented Reality (AR) Gaming: For immersive AR games, recognizing different classes of doors can be crucial in creating an engaging gameplay experience. For instance, detecting an open_door may prompt new game events or challenges.
-
Facilities Management: The model can help in managing large facilities, like universities or corporate buildings, by informing the relevant authorities if doors of classrooms, labs, or offices are left open unattended, ensuring energy efficiency and security.
Build Computer Vision Applications Faster with Supervision
Visualize and process your model results with our reusable computer vision tools.
Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
virtual-vision-doors_dataset,
title = { Virtual Vision Doors Dataset },
type = { Open Source Dataset },
author = { Virtual Vision },
howpublished = { \url{ https://universe.roboflow.com/virtual-vision-k0moi/virtual-vision-doors } },
url = { https://universe.roboflow.com/virtual-vision-k0moi/virtual-vision-doors },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { apr },
note = { visited on 2024-12-23 },
}