IoT-Based Smart Glasses Assistance System with Facial Recognition

Abstract

Smart glasses are becoming increasingly available in the population due to their ability to provide real-time environmental information; however, the incorporation of facial recognition through the Internet of Things marks an important advance in the performance and usability of these devices. This study describes the creation of a novel Internet of Things-based human face recognition assistance system for smart glasses. The developed system uses a Raspberry Pi 4 board, an ESP32 board, two camera modules to capture and process the environment through artificial vision, and a sound module responsible for realizing the assistance system. Developing a functional prototype of smart glasses will enable visually impaired people to obtain information from others and be aware of potential environmental dangers. This system is made possible through facial recognition technology and distance estimation algorithms. In addition, this study addresses integrating the proposed system with the Internet of Things, enabling better connectivity and effective communication with other devices and services. Finally, practical tests are used to evaluate the usability and user experience of the system, as well as its accuracy in measuring distances and identifying faces of previously registered users. Studies show that the system is quite effective in assisting people with partial or total blindness and ensures that it is simple to use and intuitive in real-world scenarios.