arson_nighttime_1 Computer Vision Project
Updated 2 years ago
Here are a few use cases for this project:
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Crime Prevention: The vision model can be integrated into a security system to detect potential arson activities, especially at night. If certain elements such as a person carrying a canister near a car or liquid and smoke are present, the system can trigger an alarm or notify authorities.
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Automated Surveillance: The model can be used in a time-lapse security footage review. It can identify the key elements (car, person, liquid, fire, can, smoke) which may indicate an arson attempt, helping to cut down the time taken to manually review footage.
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Insurance Investigations: For insurance companies investigating claims related to fire, the model can help in identifying whether the fire was due to arson.
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Fire Department Applications: The model can be used within fire departments to identify patterns in arson crimes for better prevention and understanding.
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Research and Criminal Studies: This computer vision model can be used for academic research and publications related to the study of arson crimes, as it can provide empirical data for analysis.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
arson_nighttime_1_dataset,
title = { arson_nighttime_1 Dataset },
type = { Open Source Dataset },
author = { SAN JOSE STATE UNIVERSITY },
howpublished = { \url{ https://universe.roboflow.com/san-jose-state-university-ka1ui/arson_nighttime_1 } },
url = { https://universe.roboflow.com/san-jose-state-university-ka1ui/arson_nighttime_1 },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { nov },
note = { visited on 2024-09-25 },
}