Real-Time Vehicle Collision Detection Using Bounding Box Methodology with Alert System
Dr.S. Jothi Shri
, Dr.E. Thenmozhi , Bomminani.S.Jeswanth , N. Krishna Kumar , S.Kumaran
ALEXNET, Image processing, Arduino, GSM module, artificial intelligence, machine learning Introduction
Recent technological developments have sped up and simplified our lives. The risks associated with transportation have increased as a result of technological improvement. In order to decrease accidents and save lives, a GSM-based accident detection and prevention system is provided in this research. one of the most frequent issues that people try to solve while buying a vehicle. Accidents occur as a result of poor traffic management when the number of cars increases.
Other than bad traffic management, a number of other factors can cause accidents, including bad weather, careless driving, faulty vehicles, and poor road conditions. The vehicle's performance has been periodically examined for safety reasons. The outcome of this project is that accident can be prevented by utilizing sensors and help can be sent immediately after accident has occurred
"Real-Time Vehicle Collision Detection Using Bounding Box Methodology with Alert System", TIJER - TIJER - INTERNATIONAL RESEARCH JOURNAL (www.TIJER.org), ISSN:2349-9249, Vol.11, Issue 2, page no.63-65, February-2024, Available :https://tijer.org/TIJER/papers/TIJERB001009.pdf
Volume 11
Issue 2,
February-2024
Pages : 63-65
Paper Reg. ID: TIJER_151153
Published Paper Id: TIJERB001009
Downloads: 000269
Research Area: Science and Technology
Country: TIRUVALLUR, TAMILNADU, India
ISSN: 2349-9249 | IMPACT FACTOR: 8.57 Calculated By Google Scholar | ESTD YEAR: 2014
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.57 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: TIJER (IJ Publication) Janvi Wave
