Abstract
Unnatural fatalities are rising in our contemporary period, but road accidents account for a significant portion of these deaths. This work mostly deals with road accident detection and methods to reduce the time period between the victim and the emergency service area. According to the statistics, some accidents have occurred due to some momentary health issues like low/high BP, heart rate abnormality, lack of intaking oxygen-increased breathing rate, and also due to drunk and driving, these kinds of stuff are incredibly hazardous, resulting in automobile collisions and traffic injuries. So, continuous passenger and driver monitoring was also introduced for the utmost safety. Besides of preventative actions implemented, like seizure of vehicle permits, fines, penalties, and seizure of licenses. Despite the numerous prolepses taken, the number of accidents caused by drunk driving and sudden heart attacks is on the rise. This module is suggested to prevent individuals from dying needlessly as a result of intoxicated driving incidents, momentary health issues with the help of continuous monitoring, and to detect the occurrence of accident and also sends location coordinates to nearby hospitals/toll plazas/police stations and passenger’s trustworthy relatives for their navigation purpose. This module consists of Raspberry Pi 0, Arduino UNO, alcohol detection sensor (MQ-2), MEMS Accelerometer Sensor, ECG, GPS module, pulse oximeter, digital vibration sensor, LCD displays, ADC, PHP server, and relay to control the vehicle.
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Akash Krishnaa, S.K., Pavan Reddy, T., Aakash, S.P., Vamsikrishna, G.L.V.N.S., Harikumar, M.E. (2023). Continuous Passenger Monitoring and Accident Detection (CPMAD) System. In: Bindhu, V., Tavares, J.M.R.S., Vuppalapati, C. (eds) Proceedings of Fourth International Conference on Communication, Computing and Electronics Systems . Lecture Notes in Electrical Engineering, vol 977. Springer, Singapore. https://doi.org/10.1007/978-981-19-7753-4_11
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