Person Computer Vision Project
Updated 2 years ago
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Here are a few use cases for this project:
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Crowd Monitoring and Management: The "Person" computer vision model can be used to analyze and count people in crowded places like concerts, public events or busy streets, assisting authorities in ensuring public safety and optimizing crowd management strategies.
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Surveillance and Security: The model can be employed in video surveillance systems to detect and track individuals, enabling the identification of suspicious behavior or unauthorized access, thus improving overall security and crime prevention.
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Retail and Marketing Analytics: Shopping malls, stores, or advertising agencies can use the "Person" model to gain insights about customer demographics, foot traffic patterns, and the effectiveness of marketing campaigns or in-store displays by detecting and analyzing people in the captured footage.
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Elderly Care and Fall Detection: The model can be used in healthcare facilities or home automation systems to automatically detect and alert caregivers when an elderly person or patient has a fall or exhibits unusual behavior, providing timely assistance and enhancing their safety.
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Social Distancing Compliance: During a pandemic or public health crisis, the "Person" computer vision model can support the analysis of public spaces to ensure individuals are following social distancing guidelines and facilitating proactive measures to reduce the spread of contagious diseases.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
person-fjbc7_dataset,
title = { Person Dataset },
type = { Open Source Dataset },
author = { KubSU },
howpublished = { \url{ https://universe.roboflow.com/kubsu/person-fjbc7 } },
url = { https://universe.roboflow.com/kubsu/person-fjbc7 },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { feb },
note = { visited on 2025-01-12 },
}