Project Hub /Communication Systems/RF Remote Control Systems/Smart Glass That Can Read Books For Visually Challenged People

Intermediate

RASPBERRY PI

₹5,000 – ₹15,000

3 – 6 Hours

Partial Kit

Smart Glass That Can Read Books For Visually Challenged People

A wearable smart glass project powered by a Raspberry Pi that uses a camera to capture text, runs OCR to extract it, and converts it into speech.

Originally published on ElectronicsForU

View original tutorial

Parts You'll Need

This project is sourced from another site, not written by us — this list is our best match of their components against what we stock, not a verified bill of materials. Always check the original blog (linked above) for the actual parts list before buying.

Raspberry Pi 3 - Model B+ 1.4Ghz 64-bit quad-core Processor with 1 GB Ram (Original) Rs. 9,810.00
ESP32 CAM WiFi Module Bluetooth with OV2640 Camera Rs. 1,483.00
Jumper Wire 10 Pin Male To Male 20cm Rs. 45.00
MB102 Adjustable Breadboard Power Supply Module (3.3V & 5V) for Arduino & Raspberry Pi Rs. 139.00
400 Points Mini Solderless Prototype PCB Breadboard High Quality Rs. 89.00
Jumper Wire 10 Pin Male To Female 20cm Rs. 45.00

Selected: Rs. 0.00

We don't carry yet: pair of glasses

Browse all components

How It Works

The Smart Glass system operates as a wearable assistive technology device centered around a Raspberry Pi 4 Model B running Raspbian OS. A compact camera module is mounted onto a pair of glasses or goggles to capture real-time visual input of printed text from books, documents, or signs. When the user triggers a capture, the Raspberry Pi executes a Python script that leverages OpenCV to process the captured image frames. Once the image is acquired, PyTesseract performs Optical Character Recognition (OCR), analyzing the image data to recognize and extract alphanumeric text characters. After the text is successfully extracted, the system utilizes the eSpeak text-to-speech engine to synthesize the textual data into audible speech. Finally, the audio signal is routed through connected earphones or Bluetooth earphones, allowing the visually challenged user to hear the read text clearly and independently.

Why Build This

Develop a practical, hands-on assistive technology prototype that directly aids visually impaired individuals in education and daily living.

Gain comprehensive experience integrating computer vision libraries and OCR software on a single-board computer running Python.

Build a wearable prototype combining image capture, text processing, and audio output into a cohesive, battery-powered system.

Real-World Application

Assistive reading devices for the visually impaired, accessibility tools for education and daily living.

Skills You'll Learn

Computer vision processing

Optical Character Recognition (OCR)

text-to-speech synthesis

Python scripting

Linux command line navigation

hardware integration with single-board computers

Safety Precautions

No specific precautions noted for this build — always follow general electronics safety practices.

Technology Tags

COMPUTER VISION

OCR

PYTESSERACT

OPENCV

ESPEAK

SPEECH SYNTHESIS

PYTHON

RASPBERRY PI

Frequently Asked Questions

How does the system capture text without a keyboard or monitor attached?

The system can be configured to run the Python script automatically on boot or via a simple push-button connected to the Raspberry Pi GPIO pins, triggering image capture and speech output instantly.

Can I use Bluetooth earphones instead of wired ones?

Yes, the Raspberry Pi 4 features built-in Bluetooth capabilities, allowing you to pair wireless earphones or headphones for audio output.

What kind of power supply is required to make the glasses portable?

Since the Raspberry Pi 4 requires a stable 5V power supply via USB-C, a portable USB power bank with sufficient current output is typically used to make the wearable setup mobile.

Gallery

This page is part of Kitkraft's Project Hub — a curated collection of electronics & robotics projects gathered from the maker community to help students and hobbyists discover and learn to build. Kitkraft does not claim authorship of the original project, and makes no representation as to the accuracy, completeness or safety of third-party source material. The summary and "How It Works" explanation above are AI-generated, rewritten with reference to the original tutorial — not a reproduction of it. Full credit and a direct link to the original source are provided above. If you're the original creator and have a concern about how your work is represented here, please contact us and we'll address it promptly.

Kitkraft Project Hub — curated from the maker community, credited at the source.

PRJ-00281