Design and Implementation of an Intelligent Home Device for Real-Time Face Tracking and Vision Defect Detection

This thesis presents the design and implementation of an intelligent home device equipped with face tracking capabilities and a vision defect detection system. The device features two cameras: the first camera is dedicated to tracking a person's face, ensuring optimal conditions such as distance, room brightness, face centering and gaze direction. This camera is mounted on a pan-tilt mechanism controlled by two servo motors, enabling precise and responsive face tracking. The second camera, developed by the collaborating company, is designed to measure vision defects providing valuable insights into the user's eye health. A BLE connection facilitated communication between devices, enabling seamless operation. While existing solutions primarily focus on semi-automated systems which require the operation of the user, this approach introduces a fully autonomous and entirely automated system. It also aims to improve the functionality and user experience of smart home devices by integrating real-time monitoring and health assessment features, thereby advancing the field of medical automation.