According to the World Health Organization, approximately 2.2 billion people are visually impaired, with 39 million being completely blind. While current navigational tools, such as canes or guide dogs, are effective in many situations, they often fall short in crowded and unfamiliar environments. Due to these shortcomings, there has recently been a rise in camera and sensor based assistive technology. Despite the rise in these technologies, many products remain inaccessible for users due to high price, limited battery life, or poor detection ability. Our team aims to fix this issue, as we are focused on designing a product that will be effective, cheap, non-instrusive, and energy efficient. This device will use Machine Learning to process real-time video in order to provide the user with auditory feedback. Our goal is to create a product that will allow those who are visually impaired to navigate the world with ease.
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A gift at this level would allow us to survey a participant with visual impairment.
A gift at this level would allow us to purchase a Lidar sensor, which is necessary in detecting the depth of an object.
A gift at this level would allow us to purchase a Raspberry Pi processor, which is necessary to run the computations.
A gift at this level would allow us to purchase a camera that will be used to gather real-time data.