Object recognition for blind people is a technology that aims to improve the quality of life for people with visual impairments. The technology uses computer vision and machine learning algorithms to analyze images captured by cameras and provide audio feedback about objects in the surroundings. The system identifies objects such as people, vehicles, obstacles, and other items of interest and provides real-time feedback to the user. The technology can be integrated into wearable devices such as smart glasses or mobile phones to provide a portable and convenient solution for the visually impaired. Object recognition for blind people is an ongoing research area, and advances in machine learning and computer vision are likely to lead to further improvements in this technology in the future. The object recognition accuracy for various objects is around 95 per cent.
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Chaudhari et al. (2024) studied this question.
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