Efficient Face Detection for Distinct Multimedia Using Object-Oriented Programming

Abstract

In this paper, face detection for multiple surveillance, and tracking has been proposed. This object-oriented programming has been used for data collection and other research fields. Software is designed to work with any computational device with a webcam and with python. With further development, it can also be used to fix recording as the camera can be automatically triggered to turn on and record the video until the person is visible. The proposed scheme has been verified using the Haar Cascade classifier and OpenCV platform. The different face detection platform for videos and cameras has been used to perform multiple tasks.