DESIGNING SMART HEADSET: INTEGRATING AI AND CAMERA TECHNOLOGIES FOR ENHANCED WEARABLE SOLUTIONS

Abstract

This thesis presents the design and development of a smart headset aimed at enhancing the learning experience for students. Conducted as a client project for TechAmigos during an internship at Dominix Global Design, the project focuses on integrating AI and camera technologies into a sleek, ergonomic wearable device. The design process adopted a human-centered approach, incorporating user feedback to identify essential features and address specific needs, such as solving complex problems and providing quick access to information during study sessions. The product architecture was meticulously crafted, comprising two main components: a front section housing the camera module and shutter button, and a rear compartment containing the processing unit and battery. Adjustable Velcro straps facilitated a comfortable fit for a diverse range of head sizes, ensuring usability for various users. Prototyping involved both PLA for initial testing of ergonomics and ABS for the final product, showcasing different finishes as per client specifications. User testing revealed strong performance in core functionalities, while also highlighting areas for improvement, such as compatibility with eyewear. Looking ahead, the project outlines potential enhancements, including the integration of speakers and microphones, as well as considerations for advanced materials and mass production. Overall, this work contributes to the growing field of smart wearable technology, emphasizing the importance of thoughtful design in creating effective educational tools.