In the present study, focus has been made on car cabin or driver safety and monitoring. Safety is the main concern of many industries and countries while designing a car. This study aims to develop a smart driving system to attain a safe and done up traffic society for aged drivers. By analyzing the data of total number of road accident 35–40% and it is due to drowsiness or dizziness so to mind this issue, an attempt has been taken to solve this problem. Here, one hardware has been designed with help of sensors: alcohol sensor (MQ3), smoke sensor (MQ135), vibration sensor (SW-420) and gyroscope (ADXL335) and IP camera as well as GPS module (GY-GPS6MV2). Raspberry Pi has been used as microcontroller. It comes up with a solution of monitoring, alarming and minimizing entirely the respective percentage of accident due to mentioned reason. It is seen that the maximum drowsiness has been found in driver in evening time period, whereas it gives alcohol drunk level with accuracy of ±0.05 mg/L. Every driver can be monitored and diagnosed with the help of data using sensors, GSM and GPS and shared over the Internet using cloud to stop situation any mishappening while on road.
Intelligent Car Cabin Safety System Through IoT Application
Advs in Intelligent Syst., Computing
Congress on Intelligent Systems ; 2020 ; New Delhi, India September 05, 2020 - September 06, 2020
2021-05-28
12 pages
Article/Chapter (Book)
Electronic Resource
English
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