Faceguard: Attendance Monitoring Solution

Abstract

The study focuses on facial recognition in real-time, demonstrating the effectiveness of the algorithms put in place in live video broadcasts. The threading features of OpenCV are utilised to maximise efficiency and guarantee low latency during the recognition procedure. One of the most important factors in the system's design is its capacity to adapt to changing environmental conditions and computational resources. The research explores privacy issues, potential biases in face recognition technologies, and ethical considerations related to these issues. Anonymization methods and algorithmic decision-making transparency are two strategies that are investigated in the framework of the OpenCV-based system to address these issues. The study also addresses the possible uses of the facial recognition technology, which include safe access management and computer-human interaction in intelligent settings. Emphasis is placed on the system's extensibility, which highlights the possibility for its interaction with other platforms and technologies. In conclusion, this study on facial recognition is an extensive investigation of OpenCV's C++ capabilities. The system showcases the potential of facial recognition technology to make good contributions to multiple sectors by incorporating cutting-edge algorithms and taking ethical considerations into account. The initiative lays the groundwork for future