Object Detection and Distance Measurement using AI

To control and manage traffics as well as guide the driver on roads, the lines on the roads are used. In addition, these lines serve as barriers and to ensure the safe, smooth and harmonious flow of traffic. However, in some countries, these lines are missed and causes the driving chaos; and thus, car accidents happen. A car accident is one of the most causes of death and the majority of the accident are due to human error. This research works aims to help driver to provide safety roads and reduces or eliminate care accidents. Object detection is a technique used to find and locate objects in images. In this works, YOLO Version 3 is the network used to detect the object in the frame because of its speed, simplicity, and ability to predict as well as classify objects. In addition, a steering angle circuit is designed and implemented to measure the direction of the car. The steering angle measurements is used with object detection (vehicles and pedestrians) to issue a warning when these objects are close to the driving car (10 meters). After the objects are detected using YOLO V3, the distance of the detected objects is measured using the height of the object. While being affordable and low-cost, the system achieved positive and competitive results, this system can be used at night and in dark environments.