International Journal For Multidisciplinary Research

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Automated Accident Notification System Using Artificial Intelligence

Author(s) Nirmal Kumar, Madhav Singhal, Nikhil, Sunita Bishnoi
Country India
Abstract Road Accident continues to be a major global concern, so it’s critical to come up with innovative approaches to enhance emergency response and mitigate the severity of the effects. In view of the fact that very little research has been done in this field till now and no effective system is available as accident notification system, the proposed work introduces an Automated Accident Notification System (AANS) that employs Artificial Intelligence (AI) devices and applications for swift and accurate accident detection. The study focuses on designing an AI based algorithm, implementing it in a compact and efficient device, and developing a user friendly mobile application. The algorithm utilizes machine learning techniques for real time analysis of image and sensor data, improving accuracy and responsiveness. The AI device integrates the algorithm with various sensors to detect accidents promptly. The accompanying mobile application ensures seamless transmission of real time accident data, enabling automatic emergency call initiation and location sharing. Evaluation metrics include algorithm accuracy, response time improvements, and user satisfaction. This research may contribute to the advancement of intelligent systems, fostering enhanced public safety and a more efficient response to road accidents. Algorithm refinement, additional mobile application features, and collaboration with emergency services for broader implementation are future aspects of the proposed work.
Keywords Artificial Intelligence, Machine Learning, Realtime Detection, Sensor Data, Emergency Accident Detection
Field Engineering
Published In Volume 6, Issue 6, November-December 2024
Published On 2024-11-27
Cite This Automated Accident Notification System Using Artificial Intelligence - Nirmal Kumar, Madhav Singhal, Nikhil, Sunita Bishnoi - IJFMR Volume 6, Issue 6, November-December 2024. DOI 10.36948/ijfmr.2024.v06i06.31312
DOI https://doi.org/10.36948/ijfmr.2024.v06i06.31312
Short DOI https://doi.org/g8r8jz
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