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- W4387507553 abstract "Vision is one of the requisite human senses that plays the most crucial role in human perception of the surroundings. Visual impairment severely impacts the quality of life. It has severe consequences on specific capabilities and can affect one’s daily activities to a large extent. Object recognition for the visually impaired is a research field aiming at assisting individuals. It is typically achieved by using deep learning and computer vision techniques to analyze images captured by a camera. This project aims at detecting objects using computer vision and deep learning. The concept of transfer learning is also utilized in this project. The system recognizes objects and alerts the user about them with the help of a voice assistant. The voice assistant is integrated with the design and made using Python. The system will also raise an alert if a nearby object is harmful. It will make it easier for those with severe vision impairment to navigate new surroundings and be safe on their own. It will also improve their ability to navigate and perform tasks independently." @default.
- W4387507553 created "2023-10-11" @default.
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- W4387507553 date "2023-01-01" @default.
- W4387507553 modified "2023-10-12" @default.
- W4387507553 title "Object Recognition with Voice Assistant for Visually Impaired" @default.
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- W4387507553 doi "https://doi.org/10.1007/978-981-99-4626-6_44" @default.
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