Accident Prevention System using Machine Learning

Most of the Accidents Occur in these days are during the Night time. As per the Reports of the Accident, Most of the Accidents are due to Improper vision of the Drivers during the Night time. In order to minimize and prevent the Accidents we came with a Machine Learning Model Which Continuously Monitors the Road in the Range of 20 Meters and Specifies if there are any people or Animals passing across the Road. The Significance of the project is to help the innocent people who might lost their lives due to the Accident without their intervention. The Model is also useful for the animals and passers. The main purpose of the project is to detect strollers or animals like dog at night and dim light conditions. As the light intensity during night is less, Even our human eye cannot detect a person. The existing system are less effective due to the less accuracy of algorithms. The night-vision systems indeed work on mainly image processing with assistance of camera and processing units.