Smart Eyewear for Inclusive Communication

P Prof.Selvarani D (Sri Sairam College of Engineering)

Abstract

The increasing need for accessible and intelligent assistive devices has made inclusive communication technologies crucial for individuals with sensory impairments such as hearing, speech, or vision loss. While numerous devices exist to aid these communities, most solutions are fragmented, single-purpose, and lack intelligent adaptability. This paper presents a comprehensive design and implementation of Smart Eyewear for Inclusive Communication in the form of Al-powered wearable smart glasses that simultaneously support users who are with hearing, speech, or vision challenges. The proposed system integrates Machine Learning, Computer Vision, Speech Processing, Embedded Systems, and IoT to deliver a unified platform that enhances communication and environmental awareness. For users with hearing impairments, the system employs Automatic Speech Recognition (ASR) to convert nearby conversations into real-time text displayed on a Head-Up Display (HUD) embedded in the smart glasses. For users with speech impairments, a camera-based gesture recognition system uses Convolutional Neural Networks (CNN) to interpret sign language and convert it into readable text or audible speech via a speaker module. For users with visual impairments, the glasses are equipped with ultrasonic and proximity sensors, and optionally a camera, to detect nearby obstacles and provide real-time audio feedback for safe navigation. The system's hardware core is based on an ESP32 microcontroller, paired with peripherals including transparent OLED displays, microphone arrays, speakers, and GPS modules for enhanced functionality. The system's software is developed using Python, TensorFlow, OpenCV, and integrated with cloud services and a web interface for configuration, real-time monitoring, and data logging. Through a modular and scalable design, this assistive solution fosters independent living, improved safety, and social inclusion for differently abled individuals. Unlike existing one-dimensional solutions, this system enables bi-directional interaction across multiple sensory channels, bringing communication equity for all. This innovation holds potential for applications in education, healthcare, public spaces, and personal environments, paving the way toward a more inclusive and accessible future.

Article Details

Volume / Issue Vol. 12, Issue 11
Published November 21, 2025
Pages 656
Publisher AM Publications

Authors (1)

P

Prof.Selvarani D

Sri Sairam College of Engineering