Attendance System for College Hostels Using Facial Recognition

Abstract

Face detection is a computer vision technology designed to identify and locate human faces in digital images. It is a specialized application of object detection, which involves identifying instances of specific semantic objects, such as humans, buildings, or vehicles, in images and videos. With advancements in technology, face detection has become increasingly significant in fields like photography, security, and marketing. This report presents an efficient approach to detecting and recognizing human faces using OpenCV and Python. It explores the pivotal role of machine learning in computer science and its application in facial detection through various OpenCV libraries. Furthermore, the report proposes a system for real-time human face detection, leveraging the integration of machine learning techniques with OpenCV and Python.