Arduino Camera

Using the OV7670 camera with the Arduino UNO board

The OV7670 camera can be interfaced with an Arduino Uno microcontroller board to capture images and process them in real-time. The OV7670 camera module communicates with the Arduino Uno board via a parallel interface that requires eight data lines and several control signals.

How to use the OV7670 camera with the Arduino UNO board ?

Composants nécessaires :

Arduino UNO

Arduino Uno is an open-source microcontroller board based on the ATmega328P microcontroller chip. It has 14 digital input/output pins, 6 analog inputs, a 16 MHz quartz crystal, a USB connection, a power jack, and a reset button. It is designed to make it easy for hobbyists, artists, and professionals to create interactive projects.

Arduino Uno is widely used in various applications such as robotics, home automation, Internet of Things (IoT), and other electronic projects. The Arduino IDE (Integrated Development Environment) is used to program the board with a simple programming language based on C/C++. The board can be powered either by USB or by an external power supply. Its small size, ease of use, and large community support make it one of the most popular microcontroller boards for beginners and professionals alike.

Caméra OV7670

The OV7670 is a low-cost, low-power VGA (Video Graphics Array) camera module manufactured by Omnivision Technologies. It is widely used in various applications such as image processing, robotics, home automation, and other electronic projects.

The OV7670 camera module has the following features and specifications:

  • Resolution: VGA (640×480) or CIF (352×288)
  • Frame rate: 30 fps (VGA) or 60 fps (CIF)
  • Image sensor: 1/6-inch VGA CMOS image sensor
  • Signal-to-Noise Ratio (SNR): 46 dB
  • Sensitivity: 1.3 V/(Lux-sec)
  • Dynamic range: 52 dB
  • Operating voltage: 2.5V to 3.0V
  • Power consumption: 60 mW
  • Interface: SCCB (Serial Camera Control Bus) or I2C

The OV7670 camera module is available in different forms such as a standalone module or a breakout board. It can be easily interfaced with various microcontrollers such as Arduino, Raspberry Pi, and other development boards using the SCCB or I2C interface.

The OV7670 camera module has a wide range of applications such as surveillance cameras, machine vision systems, object detection, gesture recognition, and many other applications that require image or video processing. Its low cost, low power consumption, and compact size make it a popular choice for hobbyists and professionals alike.

2 resistors of 4.7 kΩ

2 resistors of 10 kΩ

Connecting wires

Connecting wires are electrical wires used to connect various electrical components in a circuit. They are an essential component of any electrical or electronic system, as they are used to transfer electrical energy and signals between the different parts of the circuit.

Test plate

A test plate is a type of device used in robotics to test the functionality and performance of various components or systems. It is typically a physical platform or structure that is designed to hold and support various test items or devices, such as sensors, actuators, motors, or other types of mechanical or electrical components. Test plates can be used to simulate different environments or conditions, such as temperature, humidity, vibration, or other factors, in order to evaluate the performance of the components or systems being tested. They can also be used to perform a variety of diagnostic or diagnostic tests, such as stress testing, endurance testing, or other types of evaluations.

3.3V/5V power module

A 3.3V/5V power module is a voltage regulator module that allows you to convert a higher voltage to a lower voltage. The module typically accepts a voltage input of around 6V to 24V and outputs a regulated voltage of either 3.3V or 5V, depending on the module.

The 3.3V/5V power module is commonly used in electronic projects to power microcontrollers, sensors, and other components that require a regulated voltage. For example, the ESP8266 module requires a regulated voltage of 3.3V, while the Arduino UNO can be powered by either 3.3V or 5V depending on the project requirements.


Here are the steps to assemble the OV7670 camera module and Arduino Uno board:

  1. First, connect the power supply pins (VCC and GND) of the OV7670 camera module to the 3.3V and GND pins of the Arduino Uno board, respectively.
  2. Next, connect the data pins of the OV7670 camera module to the Arduino Uno board. The SCCB (Serial Camera Control Bus) pins of the OV7670 camera module should be connected to the analog input pins (A4 and A5) of the Arduino Uno board. The camera data pins (D0 to D7) should be connected to the digital pins of the Arduino Uno board as follows:
  • D0 -> A0
  • D1 -> A1
  • D2 -> A2
  • D3 -> A3
  • D4 -> D4
  • D5 -> D5
  • D6 -> D6
  • D7 -> D7
  1. Connect the synchronization signals of the OV7670 camera module to the digital pins of the Arduino Uno board. The HREF (Horizontal Reference) signal should be connected to digital pin D8, while the VSYNC (Vertical Synchronization) signal should be connected to digital pin D7. The PCLK (Pixel Clock) signal should be connected to digital pin D6.
  2. Once all the connections are made, you can upload the code to the Arduino Uno board to interface with the OV7670 camera module. You can use the OV7670 Arduino library to interface with the camera module and capture images or video.
  3. To test the assembly, you can use the Arduino serial monitor to display the captured images or video data.

Note: The OV7670 camera module requires a lot of processing power and memory, so you might need to use a faster board like Arduino Mega or a separate microcontroller along with Arduino Uno for image processing.

Arduino program

Here is an example of a basic Arduino program that captures real-time images from the OV7670 camera and displays them on the OV7670 window


1 commentaire

clvity 26-06-2323

Hello, I'm using a code that looks very the same as yours and my images are in black and white. What changes do I need to make to the code to obtain RGB images? Thanks in advance.

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