Human Computer Vision Project
Updated 3 years ago
Metrics
Here are a few use cases for this project:
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Surveillance and Security: The "Human" model can be used in CCTV and surveillance cameras to detect human activity in specified areas. It will be particularly useful in detecting any suspicious activities, identifying individual people during an incident, and even in crowd control during public events.
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Social Distance Monitoring: Amidst the COVID-19 pandemic, this model could help authorities monitor public spaces for adherence to social distancing guidelines. By identifying people and their relative positions, it could provide real-time updates about social distancing compliance.
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Smart Homes: In smart homes and IoT environments, the model can be used for advanced automation by recognising the residents. It can allow for personalised experiences by identifying individual members, their facial expressions, and their hand gestures.
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Gesture Recognition: The model can be used in applications like gaming or virtual reality where it can interpret human hand and body gestures. This would allow for a more interactive and immersive experience.
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Access Control System: The model can be employed in biometric systems for face recognition, enhancing security in office buildings, residential areas or on personal devices. The model can also be adjusted to raise an alarm if an unfamiliar face is detected.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
human-15dph_dataset,
title = { Human Dataset },
type = { Open Source Dataset },
author = { new-workspace-ddy3s },
howpublished = { \url{ https://universe.roboflow.com/new-workspace-ddy3s/human-15dph } },
url = { https://universe.roboflow.com/new-workspace-ddy3s/human-15dph },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { apr },
note = { visited on 2024-11-21 },
}