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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 14, ISSUE 4, APRIL 2025

VISIONSPEAK: OBJECT DETECTION AND VOICE ASSISTANCE FOR VISUALLY IMPAIRED PEOPLE.

Mrs. Keerthiga.V, Anne P.S, Bhavani. G

DOI: 10.17148/IJARCCE.2025.14479

Abstract: VisionSpeak ,an Android-based mobile application that enhances real-world awareness through intelligent object detection and text recognition. Using a smartphone camera, the app identifies objects and extracts printed or handwritten text in real time. Recognized information is instantly converted into speech using a Text-to-Speech (TTS) engine, allowing users to receive voice-based feedback without needing to look at the screen. The app integrates deep learning models like MobileNet and YOLO for efficient object detection and uses the Tesseract OCR engine for text recognition. Designed with accessibility in mind, it supports voice commands, offline functionality, and a user-friendly interface. VisionSpeak is particularly useful for individuals with visual impairments, travelers, and those seeking hands-free interaction. Its seamless performance across diverse environments makes it a versatile tool for daily assistance.

Keywords: Object Detection, Text Recognition, Android Application, Text-to-Speech (TTS), Assistive Technology.

How to Cite:

[1] Mrs. Keerthiga.V, Anne P.S, Bhavani. G, “VISIONSPEAK: OBJECT DETECTION AND VOICE ASSISTANCE FOR VISUALLY IMPAIRED PEOPLE.,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2025.14479