Intelligent Face Recognition System for Enhancing the Security System Using Artificial Intelligence

Intelligent Face Recognition System for Enhancing the Security System Using Artificial Intelligence

Sruthi Thanugundala, Gundu Yashwin

Assistant Professor, Department of CSE, Princeton Institute of Engineering & Technology for Women, Hyderabad.

Department of CSE (AI&ML), Sri Indu College of Engineering and Technology, Hyderabad.

Abstract: AI (artificial intelligence) is being used in more and more areas, such as face recognition systems, because people want more improved security measures. This essay goes into great detail about an Intelligent Face Recognition System that is meant to make security better. Using AI to provide reliable and effective face recognition is what the suggested system does, which helps make security systems better overall. The paper talks about the tools behind such a system, its problems, and the things it could be used for. Deep learning-based methods have been getting more and more attention lately because they learn in different ways than standard machine learning methods. They have recently become very popular. This study shows a new way to recognise faces in a free-form world using deep residual ResNet50, a common type of convolution neural network architecture. In a free setting, the network is changed and fine-tuned for different face recognition situations.

Keywords: Face Recognition, Convolution Neural Network, Unconstrained Environment