Project Hub /Healthcare Biomedical & Assistive/Assistive & Prosthetic Tech/Smart Glass That Can Read Books

Intermediate

RASPBERRY PI

₹5,000 – ₹15,000

3 – 6 Hours

Partial Kit

Smart Glass That Can Read Books

Build a pair of smart glasses equipped with a camera and OCR technology to read books aloud for visually challenged individuals.

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
400 Points Mini Solderless Prototype PCB Breadboard High Quality Rs. 89.00
MB102 Adjustable Breadboard Power Supply Module (3.3V & 5V) for Arduino & Raspberry Pi Rs. 139.00
Jumper Wire 10 Pin Male To Male 20cm Rs. 45.00
Jumper Wire 10 Pin Male To Female 20cm Rs. 45.00

Selected: Rs. 0.00

We don't carry yet: Pair of eyeglasses

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How It Works

The Smart Glass That Can Read Books project operates as an integrated embedded vision and text-to-speech assistive system centered around a Raspberry Pi 5. The workflow begins when the user positions text in front of the camera module, which is mounted on a pair of eyeglasses or goggles. A Python script utilizing the OpenCV library captures an image of the physical text. Once the image is captured, PyTesseract applies optical character recognition (OCR) algorithms to process the pixel data and translate the visual letters into editable string characters. After the text is successfully extracted, the software passes the string to eSpeak, an open-source text-to-speech synthesizer. The software engine converts the text data into an audible digital audio signal. This audio signal is then routed out of the Raspberry Pi to an external speaker or earphones, utilizing an internal or external amplifier to drive the audio output at a clear volume so the user can hear the printed words read aloud in real time.

Why Build This

Design and deploy functional assistive technology that directly enhances independence for visually impaired individuals by converting printed text into spoken audio.

Integrate computer vision libraries and optical character recognition software within a portable, single-board computer ecosystem.

Combine image capture, software-based text processing, and audio output circuits into a cohesive, wearable embedded system suitable for engineering portfolio presentation.

Real-World Application

Assistive technology aids for the visually impaired, allowing individuals to independently read books, documents, and signs in daily life.

Skills You'll Learn

Optical character recognition implementation

embedded computer vision with OpenCV

text-to-speech audio synthesis

digital image processing

hardware integration with single-board computers

Safety Precautions

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

Technology Tags

PYTHON

OPENCV

PYTESSERACT

ESPEAK

OCR

COMPUTER VISION

TEXT-TO-SPEECH

Frequently Asked Questions

Do I need a specific model of Raspberry Pi for this project?

The project is designed around the Raspberry Pi 5, which provides the necessary processing power to handle image capture and OCR tasks efficiently.

How does the system convert physical book pages into sound?

The camera module captures an image of the page, OpenCV prepares the image for processing, PyTesseract reads the text, and eSpeak translates that text into spoken audio played through connected earphones or a speaker.

Can I use this system offline without an internet connection?

Yes, standard installations of OpenCV, PyTesseract, and eSpeak run locally on the Raspberry Pi operating system without requiring cloud connectivity.

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.

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