• M TARUN TEJA
• DR. G. UMAMAHESWARA REDDY

In this fast-emerging world digital environment plays the crucial role. Every human has stuck into the digital things and its wide range of using applications. In this paper I am going to research about the detection of the emotion, age, gender and the people count in the campus premises using OpenCV with the help of the human facial recognition. For the emotion detection I have used the Deepface library, Keras library for high-level deep learning API and for the age and gender detection Adience dataset is used. NumPy library is used for the numerical values and the TensorFlow library is created for the fast numerical computing values which has represented in the code. And there is a Caffe model which is used for the data processing and Json library is to structing the data. For all the work related to the libraries I have usen the python platform. These all aspects are being installed in the python application for getting the accurate and better results. At the time of facial capturing/recognition there must be a camera requirement for the result, it can be a laptop camera or you can use the webcam as of your requirement. This work is used in the colleges and educational institutions and other security related application which can detect the persons male or female, it justifies how many male and female and as well as the total people who are entered inside the campus, leaving the campus and the total how many people still inside the campus.

OpenCV, Caffe model, Json, Keras, NumPy, Adience dataset, Deepface

"EMOTION, AGE AND GENDER DETECTION AND PEOPLE COUNT IN CAMPUS USING OPENCV", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 6, page no.b584-b594, June-2024, Available :http://www.jetir.org/papers/JETIR2406166.pdf

"EMOTION, AGE AND GENDER DETECTION AND PEOPLE COUNT IN CAMPUS USING OPENCV", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 6, page no. ppb584-b594, June-2024, Available at : http://www.jetir.org/papers/JETIR2406166.pdf