Real Time Face Recognition Age and Gender Detection Using OpenCV and Python
Prof. Pravin.V. Thakare1, Miss. Vaishnavi D. Navalakhe2, Vishakha D. Panchabudhe3, Mr. Rahul
N.Kharche4, Miss. Snehal R. Rahane5, Miss. Kunal P. Sonkusare6
1Assistant Professor, Department of Computer Engineering, MGI-COET, Shegaon, Maharashtra, India
23456U.G. Student, Department of Computer Engineering, MGI-COET, Shegaon, Maharashtra, India
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Abstract - This project gives an ideal way of recognizing human face using Open CV, and Python which is part of deep learning. This report contains the ways in which deep learning an important part of computer science field can be used to determine the face using several libraries in Open CV along with python. This report will contain a proposed system which will help in the recognizing the human face in real time. This implementation can be used at various platforms in machines and smartphones, and several software applications. This kind of systems can be used in photos, videos, or in real time machines. The objective of this article is to provide a simpler and easy method in machine technology. With the help of such a technology one can easily recognize the face.
Age and gender prediction from real time images is an important application of computer vision. Based on our results we develop an application for age and gender classification. We show a glimpse of such automated experience with this project. In this project we show how easy it is to detect faces and identify gender along with gender with the help of CNN (Convolutional Neural Networks) and Open CV. Using these fields of Artificial Intelligence, we can reduce the use of hardware components and complexities in this project. Along with CNN and Open CV. For the output to be determined even with multiple parameters we use pre-trained model that is caffee model, Haar Cascade Classifier along with Open CV.
Keywords-: Python, Open CV, Deep Learning, Face detection, machine learning, computer vision, classification