The use of eye-based interaction with computers has gained significant attention, leading to the development of various methods tailored to this purpose. However, many existing approaches are constrained by environmental conditions and the user’s facial expressions or rely on invasive techniques that may pose risks to human health. This project aims to overcome these limitations by proposing a noninvasive, user-friendly eye-tracking solution. The primary focus is on designing a device optimized for simplicity and usability, particularly for individuals with mobility impairments. The proposed method leverages image processing algorithms to achieve accurate and noninvasive eye tracking. This paper discusses the selection of appropriate hardware, techniques for extracting regions of interest, and the estimation of iris position from processed images.