Vision-Based Real-Time Sign Language Translator Using MediaPipe and OpenCV on Raspberry PI

Author(s)	Gangaraju Sai Jayanth, Bareddy Dinesh Reddy, Annem Aswini, P. Surya Prakash Reddy
Country	India
Abstract	This paper presents a vision-based real-time sign language translator using MediaPipe and OpenCV on Raspberry Pi for assistive communication. The system recognizes 25 predefined static hand gestures using hand landmark detection and rule-based finger-state analysis. The recognized message is displayed on a 16×2 LCD and converted into speech using an offline text-to-speech engine. Experimental results achieved approximately 80% accuracy with a response time of 3–5 seconds, demonstrating a low-cost, fully offline, and practical embedded solution.
Keywords	Sign language translation, MediaPipe, OpenCV, Raspberry Pi, gesture recognition, assistive communication, embedded system, text-to-speech.
Field	Engineering
Published In	Volume 8, Issue 3, May-June 2026
Published On	2026-05-09
DOI	https://doi.org/10.36948/ijfmr.2026.v08i03.77055

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International Journal For Multidisciplinary Research