The main objective of this project is to detect objects by using YOLO algorithm through Python to provide Road safety
At present situation the human beings are going through many accidents during the road way transportation. Simultaneously they lose their life and significant properties in those accidents. Most of the Indian roads in rural and suburban are not ideal for driving due to faded lanes, irregular potholes, inappropriate and unseen road signs, which caused many accidents, lost lives and caused serious damage to vehicles. The most difficult task is to detect obstacles on the highway. The basic concept is to design a system that has the effect of detecting the presence of an obstacle in the track of the vehicles.
The basic concept is to design a system that has the effect of detecting the presence of an obstacle in the track of the vehicles. In the proposed work, the Python and Camera module is used for object detection and image acquisition. The system can classify objects like vehicles, animals, humans, etc.
Keywords: Python, Object Detection, YOLO Algorithm, Motor Driver, DC Motors.
NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.

Hardware Requirements:
Software Requirements: