Drowsiness detection system integrated with PC and Arduino UNO to create an alert system. And creating a system to alert the nearest emergency points whenever the driver accident is encountered.
A project done for the course CSE1901 - Technical Answers for Real-World Problems under Dr.Jayanthi.R
- AKSHAY GIRISH 20BCE1573 Github: Akshaykviit023
- HRITHIK U 20BCE1501 Github: HU
- SANKER KUMAR 20BCE1505 Github:
The tiredness detection module utilizes a camera and machine learning algorithms to detect signs of driver fatigue, such as head nodding or closing of eyes. Once detected, the driver is alerted to take appropriate action, potentially reducing accidents caused by tired drivers.
The temperature sensor module monitors the vehicle's interior temperature to prevent heatstroke or hypothermia, which can be dangerous during extreme weather conditions. The module continuously checks the temperature and alerts the driver if it becomes hazardous.
The alcohol detection module utilizes an MQ3 sensor to measure the amount of alcohol in the driver's breath. If the driver's breath contains a specified amount of alcohol, the module will prevent the car from starting, reducing accidents caused by drunk driving.
In case of an accident, the emergency warning system immediately alerts nearby emergency services, ensuring a quicker response time and potentially saving lives. The system also automatically notifies the driver's emergency contacts.
The proposed technology can be integrated with existing automotive systems to improve driver safety. Experiments show that the system significantly reduces the probability of accidents caused by alcohol, exhaustion, an