CNN-Based Object Recognition and Tracking System to Assist Visually Impaired People






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CNN-Based Object Recognition and Tracking System to Assist Visually Impaired People

Karthiga C

Department of Computer Science and Engineering,

Sethu Institute of Technology Virudhunagar, India. karthigach@gmail.com

Radhakrishnan S

Department of Computer Science and Engineering,

Sethu Institute of Technology Virudhunagar, India. radhakrish@sethu.ac.in

Abstract—Visually impaired peoples (VIPs) are a significant population segment worldwide. A system has been developed to aid mobility and ensure their safety. The system uses artificial voice for real-time navigation, allowing VIPs to perceive their surroundings. A web application is also created for their safety, allowing them to share their location with family. The project focuses on object recognition, converting detected object names (such as person1, person2, Dog, cat) into audio for easier understanding.

Keywords— Visually impaired peoples (VIPs), artificial voice, object recognition, object name, audio

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