Face recognition is a prominent biometric authentication technology widely used in security systems due to its convenience and non-intrusiveness. This paper presents the development of a face recognition system using Raspberry Pi, a low-cost embedded platform. Using OpenCV and the Local Binary Pattern Histogram (LBPH) algorithm, the system performs real-time facial recognition suitable for attendance systems and low-resource environments. This paper outlines the hardware setup, software architecture, implementation methodology, results, and future enhancements. The proposed system achieves satisfactory accuracy and efficiency, demonstrating its feasibility for small-scale deployment....
Authors: Kumkum Namdev,Sahil Jhare, Radha Devi,Suraj Vishwakarma ,Prachi Parashar .