Deep learning approach for Counting the presence of the people in real-time using OpenCV

Abstract

The people counting detection is used to detect the object by using a deep neural network. By using this process we can get more accuracy. Before that, we used the k means algorithm. But we can get only less accuracy. So, we can move to the neural network. It gives better accuracy. For the identification, we are taking blob to detections. Used in commercial applications, face identification, object tracking, image retrieval, and automated parking system. In this project, we will dive deeper and look at various algorithms that can be used for object detection.