PersonDection Computer Vision Project
Updated 2 years ago
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Here are a few use cases for this project:
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Surveillance System Enhancement: The model can be integrated into security software to detect and track individuals crossing specified parameters, increasing the efficiency of surveillance systems at malls, airports, office buildings, or other public spaces.
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Smart City Applications: City administrations can use this model in smart city initiatives to monitor population movements, assess crowd density for event management and urban planning, or to enhance citizen safety innovations.
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Assisted Living: The model can be used in care homes or for individuals with certain disabilities, identifying when a person is present and alerting caregivers if a person falls, is inactive for a long period, or leaves a designated area.
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Media Analysis: The model can be used by news agencies or social media platforms to identify and tag individuals in visual content, making cataloging and searching through media archives more efficient.
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Traffic Management: The model can be integrated into traffic cameras to detect jaywalkers or people on highways in real-time, thereby aiding traffic management and increasing pedestrian safety.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
persondection_dataset,
title = { PersonDection Dataset },
type = { Open Source Dataset },
author = { SMART },
howpublished = { \url{ https://universe.roboflow.com/smart-yjdj0/persondection } },
url = { https://universe.roboflow.com/smart-yjdj0/persondection },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { apr },
note = { visited on 2024-11-21 },
}