Drowsiness Alert, Alcohol Detect and Collision Control for Vehicle Acceleration

摘要

This system aims to make the driving vehicle safer and protect from drowsiness, alcohol detection avoids accidents and collision between the vehicles while driving and minimizes the road accidents. This product will come to prepare a combination of face detection and face contours along with an additional feature of alcohol consumption of driver and as an accordance, the vehicle acceleration is kept. This product consists of deep learning algorithms applied with microcontroller and interface with the microprocessor. The face will detect using computer vision and forms contours around the face. The person is checked with drowsiness detection then alcohol detection through a set of the device. The set of device checks for alcohol parameters taken by the person. The device used in this paper uses a display interface to show and notify alertness. It messages the concerned person to pick up the person who is being alcoholic. The ignition lock will be removed on resetting and checking of a person's quality of alcohol consumed. It will check from which the alcohol consumption device will be moving out. The device will give alcohol consumption reading and stop the vehicle as per it. The OpenCV library is being used to facilitate face drowsy detection. For collision detection, The product comes with a distance tracker at every side of the vehicle which detects the distance between the vehicle with the model and the vehicles around it. On colliding, it will give an alert to the driver and show the message with detailed collision and stored detail about collision in a black box. It will also help to guide the driver to avoid a collision.