Helmet Computer Vision Project
Updated 2 years ago
Here are a few use cases for this project:
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Safety Compliance Monitoring: The Helmet computer vision model can be deployed in industries such as construction, mining or manufacturing to monitor if workers are wearing safety helmets on site. Industry regulations require personnel to wear helmets for protection, and this system can facilitate surveillance and compliance.
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Traffic Surveillance: Use the model for traffic law enforcement. Law enforcement agencies could use this technology to identify motorcyclists who are not wearing helmets, thereby enforcing safety laws and reducing road accidents.
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Sports Analytics: In sports like cricket, football or cycling where helmets are crucial, the computer vision model can analyze whether players are wearing helmets correctly or if helmet designs have an impact on performance.
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Augmented Reality Games: For AR games where a helmet represents certain game elements or power-ups, the model can be utilized to detect and identify helmet presence.
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Autonomous Vehicles: Deploy the model in self-driving cars' algorithms to aid in identifying motorcyclists with helmets, enhancing the vehicle's ability to recognize and respond appropriately to different 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{
helmet-mqk8z_dataset,
title = { Helmet Dataset },
type = { Open Source Dataset },
author = { Chittagong University of Engineering and Technology },
howpublished = { \url{ https://universe.roboflow.com/chittagong-university-of-engineering-and-technology/helmet-mqk8z } },
url = { https://universe.roboflow.com/chittagong-university-of-engineering-and-technology/helmet-mqk8z },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { nov },
note = { visited on 2024-11-08 },
}