Accident and Alcohol Detection by using AI-Enabled Smart Helmet

Authors

  • Ankit Ranjan Agrawal Associate Professor, Computer Science and Engineering, Kunwar Satyavira College of Engineering & Management, Bijnor, India
  • Renu Yadav Department of ECE, Assistant professor, Dev Bhoomi Uttarakhand University, Dehradun Uttarakhand, India
  • Vibhor Harit Computer Science & Engineering Department, IMS Engineering College, Ghaziabad, UP, India
  • Sanjay Kumar School of Computing, DIT University Dehradun, Uttarakhand India
  • Gourav Kumar Sharma Assistant Professor, Department of Computer Science & Engineering, Amity School of Engineering and Technology, Amity University, Gwalior, Madhaya Pradesh, India

Keywords:

Decision Tree, Support Vector Machine, K-Nearest Neighbor, Logistic Regression.

Abstract

The development of ride-sharing services might be mentioned as the carrier of the new urban transportation, which can save both money and time. On the other hand, the most noticeable trait of this service is its crewing safety and security problems for both passengers and drivers. The introduction to Ride Guard explains it as a reflection of high-tech which bonds such technological ways as real-time monitoring, mobile response systems, and AI-powered analytics to facilitate safe and dependable transporting service for passengers. This research deals with the subject of the installation of Ride Guard, the main characteristics of the system, and the possible impact on the ride-sharing business. The purpose of Ride Guard is to create new guidelines for safety and reliability in the on-demand transportation industry by availing of innovative solutions.  

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Published

2024-09-20

How to Cite

Ankit Ranjan Agrawal, Renu Yadav, Vibhor Harit, Sanjay Kumar, & Gourav Kumar Sharma. (2024). Accident and Alcohol Detection by using AI-Enabled Smart Helmet. Journal of Computational Analysis and Applications (JoCAAA), 33(08), 302–308. Retrieved from http://eudoxuspress.com/index.php/pub/article/view/1283

Issue

Vol. 33 No. 08 (2024): JOCAAA

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

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