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How to Use K230 Vision Module: Examples, Pinouts, and Specs

Image of K230 Vision Module
Cirkit Designer LogoDesign with K230 Vision Module in Cirkit Designer

Introduction

The K230 Vision Module by Yahboom is an advanced imaging sensor designed for robotics and automation applications. It combines high-resolution image capture with real-time processing capabilities, making it ideal for tasks such as object detection, tracking, and navigation. The module is compact, efficient, and easy to integrate with microcontrollers, including popular platforms like Arduino and Raspberry Pi.

Explore Projects Built with K230 Vision Module

Use Cirkit Designer to design, explore, and prototype these projects online. Some projects support real-time simulation. Click "Open Project" to start designing instantly!
ESP32C3-Based Thermal Imaging Camera with TFT Display
Image of MLX90640-XIAO-ESP32-1.3: A project utilizing K230 Vision Module in a practical application
This circuit connects a 1.3 inch TFT Module 240×240 ST7789 display, a GY-MCU90640 thermal camera module, and a XIAO ESP32C3 microcontroller to create a thermal imaging system. The ESP32C3 microcontroller is programmed to read temperature data from the thermal camera, process it, and display a visual representation of the temperature distribution on the TFT screen. The circuit is designed for applications requiring thermal monitoring, such as detecting heat sources or monitoring temperature variations in an environment.
Cirkit Designer LogoOpen Project in Cirkit Designer
Arduino Uno R3 Controlled Pan-Tilt Security Camera with Night Vision
Image of MOTION CAMERA: A project utilizing K230 Vision Module in a practical application
This circuit features an Arduino Uno R3 microcontroller connected to a Huskylens (an AI camera module), an IR LED Night Vision Ring, and a Tilt Pan module. The Huskylens is interfaced with the Arduino via I2C communication using the SDA and SCL lines, while the Tilt Pan module is controlled by the Arduino through digital pins 10 and 11 for signal and output control. The IR LED ring and Tilt Pan are powered directly from the Arduino's 5V output, and all components share a common ground.
Cirkit Designer LogoOpen Project in Cirkit Designer
Cellular-Enabled IoT Device with Real-Time Clock and Power Management
Image of LRCM PHASE 2 BASIC: A project utilizing K230 Vision Module in a practical application
This circuit features a LilyGo-SIM7000G module for cellular communication and GPS functionality, interfaced with an RTC DS3231 for real-time clock capabilities. It includes voltage sensing through two voltage sensor modules, and uses an 8-channel opto-coupler for isolating different parts of the circuit. Power management is handled by a buck converter connected to a DC power source and batteries, with a fuse for protection and a rocker switch for on/off control. Additionally, there's an LED for indication purposes.
Cirkit Designer LogoOpen Project in Cirkit Designer
Raspberry Pi 5-Based OCR and Weighing System with Wi-Fi Connectivity
Image of OCR Project: A project utilizing K230 Vision Module in a practical application
This circuit integrates a Raspberry Pi 5 with an OV2640 camera module, an ILI9488 TFT screen, an infrared proximity sensor, and a load cell with an HX711 sensor module. The system captures images and performs OCR to extract text from documents, displays the text and weight measurements on the TFT screen, and allows data export via WiFi.
Cirkit Designer LogoOpen Project in Cirkit Designer

Explore Projects Built with K230 Vision Module

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 MLX90640-XIAO-ESP32-1.3: A project utilizing K230 Vision Module in a practical application
ESP32C3-Based Thermal Imaging Camera with TFT Display
This circuit connects a 1.3 inch TFT Module 240×240 ST7789 display, a GY-MCU90640 thermal camera module, and a XIAO ESP32C3 microcontroller to create a thermal imaging system. The ESP32C3 microcontroller is programmed to read temperature data from the thermal camera, process it, and display a visual representation of the temperature distribution on the TFT screen. The circuit is designed for applications requiring thermal monitoring, such as detecting heat sources or monitoring temperature variations in an environment.
Cirkit Designer LogoOpen Project in Cirkit Designer
Image of MOTION CAMERA: A project utilizing K230 Vision Module in a practical application
Arduino Uno R3 Controlled Pan-Tilt Security Camera with Night Vision
This circuit features an Arduino Uno R3 microcontroller connected to a Huskylens (an AI camera module), an IR LED Night Vision Ring, and a Tilt Pan module. The Huskylens is interfaced with the Arduino via I2C communication using the SDA and SCL lines, while the Tilt Pan module is controlled by the Arduino through digital pins 10 and 11 for signal and output control. The IR LED ring and Tilt Pan are powered directly from the Arduino's 5V output, and all components share a common ground.
Cirkit Designer LogoOpen Project in Cirkit Designer
Image of LRCM PHASE 2 BASIC: A project utilizing K230 Vision Module in a practical application
Cellular-Enabled IoT Device with Real-Time Clock and Power Management
This circuit features a LilyGo-SIM7000G module for cellular communication and GPS functionality, interfaced with an RTC DS3231 for real-time clock capabilities. It includes voltage sensing through two voltage sensor modules, and uses an 8-channel opto-coupler for isolating different parts of the circuit. Power management is handled by a buck converter connected to a DC power source and batteries, with a fuse for protection and a rocker switch for on/off control. Additionally, there's an LED for indication purposes.
Cirkit Designer LogoOpen Project in Cirkit Designer
Image of OCR Project: A project utilizing K230 Vision Module in a practical application
Raspberry Pi 5-Based OCR and Weighing System with Wi-Fi Connectivity
This circuit integrates a Raspberry Pi 5 with an OV2640 camera module, an ILI9488 TFT screen, an infrared proximity sensor, and a load cell with an HX711 sensor module. The system captures images and performs OCR to extract text from documents, displays the text and weight measurements on the TFT screen, and allows data export via WiFi.
Cirkit Designer LogoOpen Project in Cirkit Designer

Common Applications

  • Object detection and recognition in robotics
  • Autonomous navigation for drones and vehicles
  • Industrial automation and quality control
  • Gesture recognition and human-machine interaction
  • Surveillance and security systems

Technical Specifications

The K230 Vision Module is built to deliver high performance in demanding environments. Below are its key technical details:

General Specifications

Parameter Value
Manufacturer Yahboom
Part ID K230
Image Sensor Type CMOS
Resolution 1920 x 1080 (Full HD)
Frame Rate Up to 60 FPS
Processing Unit Integrated AI co-processor
Communication Interfaces UART, I2C, SPI, USB
Operating Voltage 5V DC
Power Consumption 2W (typical)
Dimensions 40mm x 40mm x 15mm
Weight 25g

Pin Configuration

The K230 Vision Module features a 10-pin interface for easy integration. Below is the pinout and description:

Pin Number Pin Name Description
1 VCC Power supply input (5V DC)
2 GND Ground
3 TX UART Transmit
4 RX UART Receive
5 SCL I2C Clock
6 SDA I2C Data
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

The K230 Vision Module is designed for straightforward integration into various systems. Follow the steps below to use the module effectively:

Connecting the Module

  1. Power Supply: Connect the VCC pin to a 5V DC power source and the GND pin to ground.
  2. Communication Interface: Choose a communication protocol (UART, I2C, or SPI) based on your application:
    • For UART, connect the TX and RX pins to the corresponding pins on your microcontroller.
    • For I2C, connect the SCL and SDA pins to the I2C bus of your microcontroller.
    • For SPI, connect CS, MOSI, MISO, and SCK to the respective SPI pins on your microcontroller.
  3. Optional USB Connection: Use the USB interface for direct connection to a PC for testing or firmware updates.

Example: Using with Arduino UNO

The following example demonstrates how to interface the K230 Vision Module with an Arduino UNO using UART communication.

Wiring Diagram

K230 Pin Arduino Pin
VCC 5V
GND GND
TX RX (Pin 0)
RX TX (Pin 1)

Arduino Code

// Include necessary libraries
#include <SoftwareSerial.h>

// Define RX and TX pins for SoftwareSerial
SoftwareSerial K230Serial(10, 11); // RX = Pin 10, TX = Pin 11

void setup() {
  // Initialize serial communication with the K230 Vision Module
  K230Serial.begin(115200); // Set baud rate to 115200
  Serial.begin(9600);       // For debugging via Serial Monitor

  // Notify user that setup is complete
  Serial.println("K230 Vision Module Initialized");
}

void loop() {
  // Check if data is available from the K230 Vision Module
  if (K230Serial.available()) {
    // Read data from the module
    String data = K230Serial.readString();
    
    // Print the received data to the Serial Monitor
    Serial.println("Data from K230: " + data);
  }

  // Optional: Send commands to the K230 Vision Module
  if (Serial.available()) {
    String command = Serial.readString();
    K230Serial.println(command); // Send command to the module
  }
}

Best Practices

  • Ensure the module is powered with a stable 5V DC supply to avoid damage.
  • Use level shifters if interfacing with a 3.3V microcontroller.
  • Avoid placing the module in direct sunlight or extremely dusty environments for optimal performance.
  • Regularly update the firmware to access the latest features and improvements.

Troubleshooting and FAQs

Common Issues and Solutions

  1. No Data Received from the Module

    • Cause: Incorrect baud rate or wiring.
    • Solution: Verify the baud rate (default is 115200) and check the connections.
  2. Module Not Powering On

    • Cause: Insufficient power supply.
    • Solution: Ensure the power source provides a stable 5V DC with at least 500mA current.
  3. Unstable or Noisy Data

    • Cause: Electrical interference or poor grounding.
    • Solution: Use shorter wires and ensure proper grounding.
  4. Firmware Update Fails

    • Cause: Interrupted connection during the update process.
    • Solution: Reconnect the module and restart the update process.

FAQs

Q1: Can the K230 Vision Module detect multiple objects simultaneously?
A1: Yes, the module supports multi-object detection and tracking, depending on the processing algorithm used.

Q2: Is the module compatible with Raspberry Pi?
A2: Yes, the K230 Vision Module can be connected to Raspberry Pi via UART, I2C, or SPI.

Q3: What is the maximum cable length for communication?
A3: For UART and I2C, keep the cable length under 1 meter to avoid signal degradation. For SPI, shorter cables (less than 50cm) are recommended.

Q4: Can the module operate outdoors?
A4: The module can operate outdoors but should be protected from direct sunlight, rain, and extreme temperatures.

By following this documentation, you can effectively integrate and utilize the Yahboom K230 Vision Module in your projects.