Abstract
In the world, there are around 300 million people (“World Sight Day 2017:” Available: https://www.indiatoday.in/education-today/gk-current-affairs/story/world-sight-day-2017-facts-and-figures-1063009–2017-10–12 (2017) [“World Sight Day 2017:” Available: https://www.indiatoday.in/education-today/gk-current-affairs/story/world-sight-day-2017-facts-and-figures-1063009-2017-10-12 (2017)]), who have problems with vision, among those 40 million are completely blind and around 260 million have poor vision due to some cases being partial or complete visual disability. And among them around 95 percent of these stay in developed countries, where they find it very difficult to perform basic day-to-day activities like commuting. They are unable to read traffic warning signs and regulatory signs, also they cannot read the information signs to know their exact position and they often rely on other pedestrians to guide them to their destination. This proposed model aims to provide a method to solve this issue through an application that contains an image recognition system that detects nearby objects in surroundings. It makes the lives of visually impaired better by making them independent.
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Srikanteswara, R., Reddy, M.C., Himateja, M., Kumar, K.M. (2022). Object Detection and Voice Guidance for the Visually Impaired Using a Smart App. In: Shetty D., P., Shetty, S. (eds) Recent Advances in Artificial Intelligence and Data Engineering. Advances in Intelligent Systems and Computing, vol 1386. Springer, Singapore. https://doi.org/10.1007/978-981-16-3342-3_11
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