Design and development of a face recognition module on a Raspberry Pi for access to school centers

Face recognition (RF) is a technology that is replacing other biometric technologies, such as fingerprint, iris recognition, among others, since RF is less invasive, easy to process, in addition, combined with IoT technologies, it can be applied in monitoring of students. This article deals with the design and implementation of an RF system to record the entry and exit of students from CETIS63 in Ameca, Jalisco. The system is implemented on a raspberry Pi 4 and its Pi camera, the system is developed on OpenCV and python. The system exploits the methods of Haar Cascade and LDA obtaining results in the recognition of the registered faces at the system.