1. Intelligent embedded sensor based accident detection system and prevention system.
- Author
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Dineshkumar, T., Puviarasi, R., Radhika, K., and Mangayarkarasi, T.
- Subjects
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INTELLIGENT sensors , *DRUNK driving , *ALARMS , *ENERGY consumption , *HUMAN error , *POLICE - Abstract
Many accidents now take place due to over-speed, drowsiness and drunken drivers. Statistics show that every four minutes people die in 2017 because of traffic crashes and thousands of accidents in India, which are higher in numbers than any other accidents, where people have died. But in the case of rescue indicators their lives may have been spared. We are also going to incorporate our thoughts on steps to mitigate the crash and precautionary measures. This proposal immediately identifies the precise location of the crash by GPS and allows GSM to transmit the data to the nearest rescue car, the police department and the individual's family members. Accident can be detected by the accelerometer sensor and accident magnitude can be detected by the tilt sensor. The tilt angle of the chassis can be monitored. The driver's sleepiness can be detected with a DMD. The driver's somnolence is sensed and the driver is alerted by alarm by calculating the percentage of eyelid closing over the period. Through this tool, the speed of a car can be measured, who is responsible for the crash and the direction of GPS can be seen with the mobile theft detection program. Both data can be analyzed using the sensor value in a microcontroller and sent to the cloud site. The main benefits of the device are cost efficient, stable and victim-friendly, fast savings in energy usage, greater precision, time efficiency and the risk of human error are reduced. [ABSTRACT FROM AUTHOR]
- Published
- 2022
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