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Title: :  A SURVEY ON ACCIDENT DETECTION AND AUTOMATED EMERGENCY NOTIFICATION SYSTEM USING YOLO V8
PaperId: :  28139
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 12 Issue 2 2026
DUI:    16.0415/IJARIIE-28139
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Vipin VargheseHoly Grace Academy of Engineering
Ann Maria PaulyHoly Grace Academy of Engineering
Nandana V AHoly Grace Academy of Engineering
Muhammed Nahshal A PHoly Grace Academy of Engineering
Ajith P JHoly Grace Academy of Engineering
Sanam E AntoHoly Grace Academy of Engineering

Abstract

Computer Engineering
-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
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.

Citations

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IJARIIE 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 Volume 12 Issue 2 2026 Page 275-283
MLA 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 12.2(2026) : 275-283.
APA Vipin Varghese, Ann Maria Pauly, Nandana V A, Muhammed Nahshal A P, Ajith P J, & Sanam E Anto. (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.
Chicago 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 12, no. 2 (2026) : 275-283.
Oxford 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, 2026, p. 275-283. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/A_SURVEY_ON_ACCIDENT_DETECTION_AND_AUTOMATED_EMERGENCY_NOTIFICATION_SYSTEM_USING_YOLO_V8_ijariie28139.pdf (Accessed : ).
Harvard Vipin Varghese, Ann Maria Pauly, Nandana V A, Muhammed Nahshal A P, Ajith P J, and Sanam E Anto. (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. 275-283IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/A_SURVEY_ON_ACCIDENT_DETECTION_AND_AUTOMATED_EMERGENCY_NOTIFICATION_SYSTEM_USING_YOLO_V8_ijariie28139.pdf (Accessed : )
IEEE 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, Mar-App 2026. [Online]. Available: https://ijariie.com/AdminUploadPdf/A_SURVEY_ON_ACCIDENT_DETECTION_AND_AUTOMATED_EMERGENCY_NOTIFICATION_SYSTEM_USING_YOLO_V8_ijariie28139.pdf [Accessed : ].
Turabian 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 [Online]. volume 12 number 2 ().
Vancouver 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 [Internet]. 2026 [Cited : ]; 12(2) : 275-283. Available from: https://ijariie.com/AdminUploadPdf/A_SURVEY_ON_ACCIDENT_DETECTION_AND_AUTOMATED_EMERGENCY_NOTIFICATION_SYSTEM_USING_YOLO_V8_ijariie28139.pdf
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