Carelessness of the driver is the major factor in accidents. So, most of the countries force the car drivers to wear seat belts and to avoid usage of the vehicle in drunken conditions. Inspite of the instructions by traffic authorities, the rules are violated. To overcome this, an automated intelligent system to authenticate the user of the car and to verify that he has non-alcoholic breath while driving is brought into place. This system also assists in vehicle theft detection and accident minimization. The proposed system makes use of Internet of things (IOT) platform which includes alcohol concentration detection sensor and also includes face authentication for increased security. The proposed system consists of an MQ-3 sensor used for calculating the breath alcohol level, a GPS module to detect the location of the vehicle and a camera for face recognition. Different types of safeguarding techniques such as Car locking, GPS, Alarm Trigger, etc. are provided as extra security features.
Alcohol Sensor, Raspberry pi, IoT, MQ3, Authentication, Security
Sudhakar Hallur , Sagar Santaji , Vishweshkumar Aithal , Ramesh Koti "INTEGRATED SECURITY IN STEERING WHEEL OF A CAR" Iconic Research And Engineering Journals Volume 2 Issue 12 2020 Page 120-132
Sudhakar Hallur , Sagar Santaji , Vishweshkumar Aithal , Ramesh Koti "INTEGRATED SECURITY IN STEERING WHEEL OF A CAR" Iconic Research And Engineering Journals, 2(12)