Real Time Object Detection and Clasification Using Small and Similar Figures in Image Processing

In the present time, there has been many adaptations of Object Detection is developed. Object Detection means catching the object name and it's other characteristics in an image or a video. This field is known to be the most difficult technique in computer background. In this very paper, a new and simplest way of detection images and objects is shown using the Machine Learning approach. Two methodologies is adapted in this project. First is Open cv algorithm which is a library of machine learning software and open to all developers. It provide an infrastructure that is common for all computer applications which helps to accelerate machine learning commercial works and products. Second is Yolo algorithm short for You Only Look Once. This algorithm is used for the prediction of objects and images which defines the point location of that object in dimensional way. In this, the technique of object detection is applied to like figures which are small and similar to one another.