Published Paper Details:

Human face detection has been a challenging issue in the areas of image processing and patters recognition. An application for tracking and detecting faces in videos and in cameras which can be used for multipurpose activities. The intention of the paper is deep study of face detection using open CV. The proposed system also improves the waiting experience of clients choosing to stay in the waiting area by connecting them to the audio signal of the often muted television sets running entertainment programs, advertisement of services, or news. The image processing concept is essential parameter to count number of people in count detection. This system is using Open-CV platform and DNN (Deep neural networks) algorithm for image processing with real-time person detection and taking the record of number of counts of the people. The future predictions based on the count of people in a particular interval of time are done by analyzing the past data using machine learning algorithm as the DNN.