Face Detection System for Health Care Units Using Raspberry PI

Abstract

Computer vision has one of its primary applications as facial detection and recognition system, which can perform two essential functions of identifying and verifying an individual. An image capturing system with embedded computing as one of its significant parts extracts image information and requires no external processing system. To deliver results to other devices for the corresponding inputs, we use an interface device. The designed system is fast and efficient. It coordinates efficiently with the image recognition unit and the recognition algorithm. The system ensures a smooth flow of data stream between the two devices, namely, the Raspberry PI board and the camera. It also handles the data stream flow to occur smoothly between the camera and the Raspberry PI board. During this pandemic era, the application has a wide range of applicability for healthcare systems, helping in a contactless authentication of patients.