Proactive Accident Avoidance System using IoT |
Author(s): |
| Mithilaesh J , PANIMALAR INSTITUTE OF TECHNOLOGY; Santhoshkumar K, PANIMALAR INSTITUTE OF TECHNOLOGY; Ashwin Balaji P, PANIMALAR INSTITUTE OF TECHNOLOGY; Dr. S. Hemalatha, PANIMALAR INSTITUTE OF TECHNOLOGY; Dr. V. Subedha, PANIMALAR INSTITUTE OF TECHNOLOGY |
Keywords: |
| TSOP Sensor, Alcohol Sensor, Ultrasonic Sensor, Microcontroller, Gaze Detection, Eye wink sensor, Kitajima scale |
Abstract |
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Lots of Accidents are happening due to the Drivers mistake. The main causes of vehicle accident are related to Alcohol Consumption, Drowsiness and distracted vision. The aim of the proposed system is to help in analyzing these factors and develop accident avoidance systems. Here we Detect Driver Drowsiness by using a camera attached to the steering. The image of the driver’s face captured by the camera is analyzed using Mat Lab tool and is alerted incase if the drowsiness is detected. Apart from that we also include Alcohol sensing and collision monitoring. Alcohol sensor is used to identify the drunk drivers and SMS is sent to the police in case of drunk & Drive. Ultrasonic sensor is used to measure distance in front of cars and incase of any risk of collision vehicle is stopped or slowed down. |
Other Details |
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Paper ID: IJSRDV5I10166 Published in: Volume : 5, Issue : 1 Publication Date: 01/04/2017 Page(s): 212-215 |
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