A SURVEY ON ACCIDENT DETECTION AND AUTOMATED EMERGENCY NOTIFICATION SYSTEM USING YOLO V8

Vipin Varghese; Ann Maria Pauly; Nandana V A; Muhammed Nahshal A P; Ajith P J; Sanam E Anto

A SURVEY ON ACCIDENT DETECTION AND AUTOMATED EMERGENCY NOTIFICATION SYSTEM USING YOLO V8

March 2026

Vol-12, Issue-2

Paper ID: 28139

ISSN: 2395-4396

Downloads: 0

Abstract & Details

Research Area

Computer Engineering

Keywords

-Accident Detection Artificial Intelligence Computer Vision OpenCV Deep Learning Real-Time Monitoring Emergency Response System Intelligent Transportation System IoT Machine Learning Road Safety Image Processing Automated Alert System Surveillance Cameras GPS Tracking Smart City Infrastructure

Abstract

Road accidents and fire emergencies are considered two of the most critical emergencies concerning the safety and security of the general public. According to reports on the safety and security of the global transportation infrastructure, thousands of accidents take place on a daily basis, and many of these accidents lead to fatalities because of the lack of timely medical aid. Conventional emergency response systems usually rely on human reporting or communication with the emergency department. Such conventional systems face the major challenge of significant delays and the lack of accurate information regarding the accident location and type. Recent advances in the field of artificial intelligence, computer vision, and intelligent transportation systems offer new avenues for the development of automated accident detection systems. Modern surveillance systems, along with AI-powered video analysis, can effectively analyze the environment and detect unusual patterns such as accidents, fires, or individuals lying on the road. Accident Detection and Automated Emergency Notification System The Accident Detection and Automated Emergency Notification System is a proposed solution that seeks to solve the problems that are inherent in a normal human-based accident reporting and communication to the emergency department. For instance, this proposed system would utilize a live video analysis and object detection models to detect accidents and communicate to the emergency department. In doing this, it reduces the amount of time it takes from when an accident occurs to when a response team arrives. Besides this, there is also a provision to report an accident and even check on the status of the response to that accident. Additionally, there is a provision to authenticate the rescue team and respond to emergencies appropriately.

License

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Author Information

#	Name	Institute / Affiliation
1	Vipin Varghese	Holy Grace Academy of Engineering
2	Ann Maria Pauly	Holy Grace Academy of Engineering
3	Nandana V A	Holy Grace Academy of Engineering
4	Muhammed Nahshal A P	Holy Grace Academy of Engineering
5	Ajith P J	Holy Grace Academy of Engineering
6	Sanam E Anto	Holy Grace Academy of Engineering

How to Cite

Use the following formats to cite this article in your research.

APA Style

Varghese, Vipin, Pauly, Ann Maria, A, Nandana V, P, Muhammed Nahshal A, J, Ajith P, & Anto, Sanam E (2026). A SURVEY ON ACCIDENT DETECTION AND AUTOMATED EMERGENCY NOTIFICATION SYSTEM USING YOLO V8. International Journal of Advance Research and Innovative Ideas In Education, 12(2), 275-283.

MLA Style

Varghese, Vipin, et al. "A SURVEY ON ACCIDENT DETECTION AND AUTOMATED EMERGENCY NOTIFICATION SYSTEM USING YOLO V8." International Journal of Advance Research and Innovative Ideas In Education, vol. 12, no. 2, 2026, pp. 275-283.

IEEE Style

Vipin Varghese, Ann Maria Pauly, Nandana V A, Muhammed Nahshal A P, Ajith P J, and Sanam E Anto, "A SURVEY ON ACCIDENT DETECTION AND AUTOMATED EMERGENCY NOTIFICATION SYSTEM USING YOLO V8," International Journal of Advance Research and Innovative Ideas In Education, vol. 12, no. 2, pp. 275-283, 2026.

Vancouver Style

Varghese Vipin, Pauly Ann Maria, A Nandana V, P Muhammed Nahshal A, J Ajith P, Anto Sanam E. A SURVEY ON ACCIDENT DETECTION AND AUTOMATED EMERGENCY NOTIFICATION SYSTEM USING YOLO V8. International Journal of Advance Research and Innovative Ideas In Education. 2026;12(2):275-283.

Harvard Style

Varghese, Vipin, Pauly, Ann Maria, A, Nandana V, P, Muhammed Nahshal A, J, Ajith P, & Anto, Sanam E (2026) 'A SURVEY ON ACCIDENT DETECTION AND AUTOMATED EMERGENCY NOTIFICATION SYSTEM USING YOLO V8', International Journal of Advance Research and Innovative Ideas In Education, 12(2), pp. 275-283.

Chicago Style

Varghese, Vipin, et al. "A SURVEY ON ACCIDENT DETECTION AND AUTOMATED EMERGENCY NOTIFICATION SYSTEM USING YOLO V8." International Journal of Advance Research and Innovative Ideas In Education 12, no. 2 (2026): 275-283.

Turabian Style

Varghese, Vipin, et al. "A SURVEY ON ACCIDENT DETECTION AND AUTOMATED EMERGENCY NOTIFICATION SYSTEM USING YOLO V8." International Journal of Advance Research and Innovative Ideas In Education 12, no. 2 (2026): 275-283.