DROWSINESS AND ALCOHOL DETECTION USING ARDUINO
Y.NAVEEN KUMAR1, A.PRAVEEN KUMAR2,P. POLINAIDU3 ,G.ABHISHEK SAI4 ,K.NARESH5
1 Y.NAVEEN KUMAR ,ECE & UNIVERSITY COLLEGE OF ENGINEERING,JNTUK
2A.PRAVEEN KUMAR, ECE & UNIVERSITY COLLEGE OF ENGINEERING,JNTUK
3P. POLINAIDU, ECE & UNIVERSITY COLLEGE OF ENGINEERING,JNTUK
4G.ABHISHEK SAI, ECE & UNIVERSITY COLLEGE OF ENGINEERING,JNTUK
5 K.NARESH, ECE & UNIVERSITY COLLEGE OF ENGINEERING,JNTUK
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Abstract - Accidents on road ways are increasing in our day to day lives. These accidents pose significant threats to human safety and well-being. There are several ways for reduction of accidents. Some of them are Drowsiness detection and Alcoholic detection. By using sensors, communication devices and algorithms, the system aims to identify potential hazards. This abstract presents a comprehensive approach to accident reduction using Internet of Things (IoT) technology. Drowsiness Detection System aims to mitigate the risks of drowsy driving and enhance road safety. By utilizing an Arduino microcontroller and various sensors, this system continuously monitors the driver’s vital signs and facial expressions. It analyzes parameters such as eye blink patterns, head movements, and heart rate to accurately identify signs of drowsiness. Upon detecting drowsiness, the system promptly alerts the driver through alarms or visual cues, prompting them to take necessary actions to prevent accidents. This project serves as a vital tool in reducing road accidents caused by driver drowsiness, ensuring safer journeys for all. This project presents the design and implementation of an Alcohol Detection with Engine Locking for cars using Arduino UNO as the MCU (Master Control Unit). The system will continuously monitor level of alcohol concentration in alcohol detection sensor and thus turn off the engine of vehicle if the alcohol concentration is above threshold level. The model will also send the message of whereabouts of the vehicle through SIM900A. The project provides an efficient solution to control accidents due to drunk driving
Key Words: Arduino UNO, Sensor Fusion, Real time monitoring, MQ-3 sensor, GPS module, GSM module, Telematics.
