Third Eye

This study report therefore establishes and applies an assistive aid commonly known as the "Third Eye" in assisting the vision impaired persons in their mobility. The system is built with an ESP32- CAM board and Arduino Nano board at its core to combine the advantages of both systems to offer a compact and affordable solution.The Traditional ESP32-CAM which serves as the vision sensor acquisition agent captures the real time images and videos. On the users’ side, haptic feedback is provided with the help of the Arduino Nano, as well as data interpreting. The main goal of the project is to grant the visually impaired clients a better chance of mobility and security by providing an efficient and low-cost solution for obstacle detection.Some of the sections that are captured include; pre conception of Third Eye, design, development & testing. It digs into the integration process, the problems faced in development, the low-down of the physical aspect or the hardware, and the control aspect or the software. An analysis of performance proves that the system works well in various cases, indicating the possibility of using the system as an assistance to the blind and persons with low vision.This practice-based investigation reveals how IoT technologies especially the ESP32-CAM and Arduino Nano can be creatively applied to actual issues of assistive technology. The current global economy has given new opportunities for the new creation and intensification of these systems.