driving Computer Vision Project
Updated 2 years ago
Here are a few use cases for this project:
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Safe Driving Campaign: This model could be used in a campaign to promote safer driving habits. It could analyze dash cam footage to identify and highlight instances where drivers are engaging in risky behavior, such as not wearing seatbelts or using phones while driving.
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Insurance Claim Investigations: Insurance companies could use this model to examine footage from car accidents. Detecting whether a driver was wearing a seatbelt, smoking, or using a phone at the time of the accident can provide valuable information in determining fault.
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Law Enforcement: Police could use this model as a tool for enforcing traffic rules. It could be used in traffic cameras to automatically identify drivers who are not wearing seatbelts, smoking or using phones, helping police efficiently target those who are breaking the law.
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Driver Behavior Studies: Research institutions could use this model to conduct studies on driver behavior and habits. By analyzing large amounts of video data, researchers could make conclusions about driving safety trends.
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Traffic Safety Training: Driving schools or other traffic safety programs could use this model as an educational tool to showcase the dangers of distracted driving, including not wearing seatbelts and using phones while driving. They could use real-life examples extracted by the model to emphasize these points.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
driving-ag6pf_dataset,
title = { driving Dataset },
type = { Open Source Dataset },
author = { Proudrun },
howpublished = { \url{ https://universe.roboflow.com/proudrun/driving-ag6pf } },
url = { https://universe.roboflow.com/proudrun/driving-ag6pf },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { dec },
note = { visited on 2024-12-03 },
}