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How to Use Pixi cam: Examples, Pinouts, and Specs

Image of Pixi cam
Cirkit Designer LogoDesign with Pixi cam in Cirkit Designer

Introduction

The Pixi Cam, manufactured by Arduino (Part ID: Pixi Cam), is a compact and versatile camera module designed for robotics and computer vision applications. It is capable of capturing high-resolution images and video, making it an ideal choice for projects requiring object detection, tracking, and image processing. The Pixi Cam is optimized for integration with microcontrollers, including Arduino boards, and offers a user-friendly interface for rapid prototyping and development.

Explore Projects Built with Pixi cam

Use Cirkit Designer to design, explore, and prototype these projects online. Some projects support real-time simulation. Click "Open Project" to start designing instantly!
ESP32 CAM PIR Sensor Security Camera with Battery Management
Image of intruder alert system: A project utilizing Pixi cam in a practical application
This is a motion-activated camera system powered by a 7.4V battery with a charging module. It uses a PIR sensor to detect motion and an ESP32 CAM microcontroller to process the signal and activate a yellow LED through an NPN transistor. A voltage booster and capacitor are included for power management, and a momentary switch allows for manual power control.
Cirkit Designer LogoOpen Project in Cirkit Designer
ESP32-CAM Smart Security System with PIR Sensor and BMP280, Battery-Powered and Wi-Fi Controlled
Image of ESP 32: A project utilizing Pixi cam in a practical application
This circuit is a wireless surveillance system using an ESP32-CAM module, a PIR motion sensor, and a BMP280 sensor. The ESP32-CAM captures images and sends them via Telegram when motion is detected by the PIR sensor, while the BMP280 provides environmental data. The system is powered by a 3.7V battery, regulated to 5V using an LM340T5 7805 voltage regulator, and includes a TP4056 for battery charging.
Cirkit Designer LogoOpen Project in Cirkit Designer
ESP32-CAM Wi-Fi Controlled Motion Detection Security Camera
Image of FRAS NEW: A project utilizing Pixi cam in a practical application
This circuit integrates an ESP32 CAM module with a PIR sensor and an FTDI programmer to create a motion-activated camera system. The ESP32 CAM captures images when motion is detected by the PIR sensor and sends the images to a server via WiFi. The FTDI programmer is used for programming and debugging the ESP32 CAM.
Cirkit Designer LogoOpen Project in Cirkit Designer
Raspberry Pi Pico and OV7670 Camera-Based Robotic System with TFT Display
Image of REF Speed Bot V3 CKT: A project utilizing Pixi cam in a practical application
This circuit features two Raspberry Pi Pico microcontrollers interfacing with various peripherals including an OV7670 camera module, a TFT display, and an OLED display. It also includes a multiplexer and a motor driver to control two planetary gearbox motors, powered by a battery and regulated through buck converters. The setup is designed for image capture, display, and motor control applications.
Cirkit Designer LogoOpen Project in Cirkit Designer

Explore Projects Built with Pixi cam

Use Cirkit Designer to design, explore, and prototype these projects online. Some projects support real-time simulation. Click "Open Project" to start designing instantly!
Image of intruder alert system: A project utilizing Pixi cam in a practical application
ESP32 CAM PIR Sensor Security Camera with Battery Management
This is a motion-activated camera system powered by a 7.4V battery with a charging module. It uses a PIR sensor to detect motion and an ESP32 CAM microcontroller to process the signal and activate a yellow LED through an NPN transistor. A voltage booster and capacitor are included for power management, and a momentary switch allows for manual power control.
Cirkit Designer LogoOpen Project in Cirkit Designer
Image of ESP 32: A project utilizing Pixi cam in a practical application
ESP32-CAM Smart Security System with PIR Sensor and BMP280, Battery-Powered and Wi-Fi Controlled
This circuit is a wireless surveillance system using an ESP32-CAM module, a PIR motion sensor, and a BMP280 sensor. The ESP32-CAM captures images and sends them via Telegram when motion is detected by the PIR sensor, while the BMP280 provides environmental data. The system is powered by a 3.7V battery, regulated to 5V using an LM340T5 7805 voltage regulator, and includes a TP4056 for battery charging.
Cirkit Designer LogoOpen Project in Cirkit Designer
Image of FRAS NEW: A project utilizing Pixi cam in a practical application
ESP32-CAM Wi-Fi Controlled Motion Detection Security Camera
This circuit integrates an ESP32 CAM module with a PIR sensor and an FTDI programmer to create a motion-activated camera system. The ESP32 CAM captures images when motion is detected by the PIR sensor and sends the images to a server via WiFi. The FTDI programmer is used for programming and debugging the ESP32 CAM.
Cirkit Designer LogoOpen Project in Cirkit Designer
Image of REF Speed Bot V3 CKT: A project utilizing Pixi cam in a practical application
Raspberry Pi Pico and OV7670 Camera-Based Robotic System with TFT Display
This circuit features two Raspberry Pi Pico microcontrollers interfacing with various peripherals including an OV7670 camera module, a TFT display, and an OLED display. It also includes a multiplexer and a motor driver to control two planetary gearbox motors, powered by a battery and regulated through buck converters. The setup is designed for image capture, display, and motor control applications.
Cirkit Designer LogoOpen Project in Cirkit Designer

Common Applications

  • Object detection and tracking in robotics
  • Line-following robots
  • Gesture recognition systems
  • Surveillance and security systems
  • Educational projects involving computer vision

Technical Specifications

The Pixi Cam is designed to deliver reliable performance in a variety of applications. Below are its key technical specifications:

Specification Details
Manufacturer Arduino
Part ID Pixi Cam
Image Resolution Up to 1280 x 720 pixels (HD)
Frame Rate Up to 60 frames per second (fps)
Communication Protocol UART, I2C, SPI
Operating Voltage 5V DC
Power Consumption ~150 mA
Lens Type Fixed-focus lens
Field of View (FOV) 75° diagonal
Dimensions 25mm x 25mm x 20mm
Weight 10g

Pin Configuration

The Pixi Cam features a simple pinout for easy integration with microcontrollers. Below is the pin configuration:

Pin Name Description
1 VCC Power supply (5V DC)
2 GND Ground
3 TX UART Transmit (data output)
4 RX UART Receive (data input)
5 SDA I2C Data Line
6 SCL I2C Clock Line
7 CS SPI Chip Select
8 MOSI SPI Master Out Slave In
9 MISO SPI Master In Slave Out
10 SCK SPI Clock

Usage Instructions

Connecting the Pixi Cam to an Arduino UNO

To use the Pixi Cam with an Arduino UNO, follow these steps:

  1. Wiring: Connect the Pixi Cam to the Arduino UNO as follows:
    • VCC to 5V on the Arduino
    • GND to GND on the Arduino
    • TX to Digital Pin 10 (for UART communication)
    • RX to Digital Pin 11 (for UART communication)
  2. Install Libraries: Download and install the Pixi Cam library from the Arduino IDE Library Manager.
  3. Upload Code: Use the example code below to test the Pixi Cam.

Example Code

The following Arduino sketch demonstrates how to initialize the Pixi Cam and read object tracking data:

#include <PixiCam.h> // Include the Pixi Cam library

PixiCam pixi; // Create a PixiCam object

void setup() {
  Serial.begin(9600); // Initialize serial communication
  pixi.begin(); // Initialize the Pixi Cam

  // Check if the Pixi Cam is connected
  if (!pixi.isConnected()) {
    Serial.println("Pixi Cam not detected. Check connections.");
    while (1); // Halt execution if the camera is not detected
  }

  Serial.println("Pixi Cam initialized successfully.");
}

void loop() {
  // Check if the Pixi Cam detects an object
  if (pixi.isObjectDetected()) {
    int x = pixi.getObjectX(); // Get the X-coordinate of the object
    int y = pixi.getObjectY(); // Get the Y-coordinate of the object
    Serial.print("Object detected at: ");
    Serial.print("X = ");
    Serial.print(x);
    Serial.print(", Y = ");
    Serial.println(y);
  } else {
    Serial.println("No object detected.");
  }

  delay(100); // Wait for 100ms before the next reading
}

Important Considerations

  • Ensure the Pixi Cam is powered with a stable 5V supply to avoid performance issues.
  • Use appropriate pull-up resistors for I2C communication if required.
  • Avoid exposing the camera lens to direct sunlight or harsh environments to maintain image quality.

Troubleshooting and FAQs

Common Issues

  1. Pixi Cam not detected by the Arduino:

    • Verify the wiring connections, especially the TX and RX pins.
    • Ensure the Pixi Cam library is correctly installed in the Arduino IDE.
    • Check the power supply voltage (should be 5V DC).
  2. No object detected:

    • Ensure the object is within the camera's field of view.
    • Verify that the lighting conditions are adequate for object detection.
  3. Unstable or noisy data:

    • Use shorter wires to reduce signal interference.
    • Add decoupling capacitors near the power pins to stabilize the power supply.

FAQs

Q: Can the Pixi Cam be used with other microcontrollers?
A: Yes, the Pixi Cam supports UART, I2C, and SPI communication, making it compatible with a wide range of microcontrollers.

Q: What is the maximum distance for object detection?
A: The maximum detection distance depends on the size and lighting of the object but is typically up to 2 meters.

Q: Can the Pixi Cam capture video?
A: Yes, the Pixi Cam can capture video, but additional processing may be required to stream or store the video data.

Q: Is the Pixi Cam suitable for outdoor use?
A: The Pixi Cam is not weatherproof. For outdoor use, ensure it is housed in a protective enclosure.

By following this documentation, users can effectively integrate the Pixi Cam into their projects and troubleshoot common issues.