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Project Hub /Basic Analog & Power Electronics/How to scan QR Codes using ESP32-CAM module?
How to scan QR Codes using ESP32-CAM module?
Intermediate
ESP32
₹500 – ₹1,500
3 – 6 Hours
Complete Kit

How to scan QR Codes using ESP32-CAM module?

Learn how to build a cost-effective QR code scanner using an ESP32-CAM module, a push button, and an OLED display communicating with a cloud API.

Originally published on CircuitDigest
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.

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How It Works

Why Build This

Design a functional Internet of Things (IoT) edge device capable of optical data capture and cloud communication.
Implement a human-machine interface combining a physical tactile trigger, a camera sensor, and a graphical display.
Develop real-world automation prototypes applicable to smart retail, inventory control, and event access systems.

Real-World Application

Smart shopping carts, automated vending machines, inventory tracking, and event check-in systems.

Skills You'll Learn

Camera module interfacing
I2C communication protocol
Serial UART programming
Cloud API integration
Debouncing push buttons
Embedded display rendering

Safety Precautions

Ensure proper wiring and avoid short-circuiting the power supply pins when connecting the USB to UART module.

Technology Tags

ESP32-CAM
ARDUINO
IOT
QR CODE
OLED DISPLAY
HTTP
CLOUD API
C++
COMPUTER VISION

Frequently Asked Questions

The ESP32-CAM module lacks an onboard USB port to keep its footprint small and cost low. A USB to UART converter is required to connect the board to your computer via USB for uploading code from the Arduino IDE.
The 0.96-inch OLED display typically communicates using the I2C protocol, meaning it connects to designated SDA and SCL pins on the ESP32-CAM alongside power and ground.
While basic decoding can sometimes be handled locally depending on library implementations, many standard implementations rely on a Wi-Fi connection to query a cloud API for robust image processing and data retrieval.

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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