Building a facial recognition system using Raspberry Pi 4

Abstract

Face recognition is a challenging field in computer vision and machine learning. Most existing face recognition systems rely on powerful computational resources such as DSPs or general-purpose computers, making them difficult to implement in medium and small-scale projects like biometric identification for home security systems, timekeeping, and employee management in companies. We introduce a new embedded hardware platform for image processing, specifically the Raspberry Pi 4, utilizing Intel's open-source image processing library OpenCV. We employ Haar-like features for face detection and Principal Component Analysis (PCA) for face recognition, all implemented on the Raspberry Pi 4 board. The system is designed with limited hardware resources, low cost, and low energy consumption, ensuring good recognition performance and speed.