VisioFace: An Android App Utilizing Deep Learning for Facial Recognition to Aid the Visually Impaired
Keywords:
facial recognition, visual impairment, Android application, Deep learning, Convolutional Neural Networks (CNNs)Abstract
Over the years, assistive technologies aimed at helping individuals with visual impairments have undergone significant advancements. These advancements encompass various tools such as screen-reading software, magnification programs, and daisy book readers, offering a wide range of devices to support visually impaired individuals in their daily activities. Despite the proven usefulness of these devices, their widespread adoption has been hindered by certain limitations, including high costs, societal stigma associated with public usage, and a lack of sustained support. However, in the present era, smartphones have become an integral part of our modern lives, featuring advanced camera technology and an array of mobile applications. The continuous enhancements in computer vision and machine learning, particularly on mobile devices, have created an ideal platform for the development of a mobile application solution. Although there are existing similar solutions, they also possess certain drawbacks. Introducing Vision Assist, a mobile application that offers an intuitive user experience by leveraging AI-Driven face recognition. With Vision Assist, users can effortlessly scan their surroundings and receive verbal feedback about the person present by simply tapping anywhere on the screen. This innovative solution capitalizes on the power of AI-Driven and smartphone technology, enabling visually impaired individuals to navigate their environment with ease and confidence.
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