human gesture for surveillance Computer Vision Project
Updated 2 years ago
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Metrics
Here are a few use cases for this project:
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Security and Surveillance: Utilize the "human gesture for surveillance" model to analyze live video feeds from security cameras and detect suspicious gestures (e.g. walking_with_weapon or crawling_with_weapon) in critical or high-security areas, immediately alerting law enforcement for rapid response.
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Military and Defense: Integrate the model into military surveillance systems to monitor border areas or conflict zones for potential threats and effectively distinguish between hostile and non-hostile actions, enabling prompt action to protect personnel and assets.
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Public Event Monitoring: Use the model to evaluate crowd behavior during large public events, such as concerts or sports matches, identifying any potentially dangerous gestures or individuals and notifying security personnel to prevent possible incidents.
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Airport Security: Implement the model in airport security systems to identify suspicious behaviors (e.g. creeping, crouching_with_weapon) in passengers within terminals, ensuring swift intervention from security forces and minimizing risk to other travelers.
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Smart Traffic Management: Apply the model to analyze the behavior of cyclists, motorbike riders, and pedestrians in urban settings, allowing for adjustments to traffic signals or road infrastructure to enhance safety and efficiency for all road users.
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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-gesture-for-surveillance_dataset,
title = { human gesture for surveillance Dataset },
type = { Open Source Dataset },
author = { Indian Institute of Technology Madras },
howpublished = { \url{ https://universe.roboflow.com/indian-institute-of-technology-madras-9u7qu/human-gesture-for-surveillance } },
url = { https://universe.roboflow.com/indian-institute-of-technology-madras-9u7qu/human-gesture-for-surveillance },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { feb },
note = { visited on 2024-12-28 },
}