Abstract
Detecting accident in smart cities is hypothetical task in day-to-day life. It is hard to control by traffic police; the police cannot be available for all the 24 * 7 (all the month). Due to this, many accidents are passing by in everyone life. Many humans are losing their life due to lack of first aid support from the hospital. It takes at least 5 min to pass the accident information to the hospital; hence to overcome this problem, we have used computer vision technique to identify the accident in specific location, and the messages will be passed automatically to the nearby hospital. When the accident is detected the local hospital, and patrol is intimated by the Gmail else by SMS through SMTP to take necessary action. Using deep learning techniques, we are able to achieve a promising solution to this problem.
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© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
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Trinishia, A.J., Asha, S. (2023). Computer Vision Technique to Detect Accidents. In: Rao, B.N.K., Balasubramanian, R., Wang, SJ., Nayak, R. (eds) Intelligent Computing and Applications. Smart Innovation, Systems and Technologies, vol 315. Springer, Singapore. https://doi.org/10.1007/978-981-19-4162-7_38
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DOI: https://doi.org/10.1007/978-981-19-4162-7_38
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