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How to Use MH-ET Live Scanner: Examples, Pinouts, and Specs

Image of MH-ET Live Scanner
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Introduction

The MH-ET Live Scanner is a compact and versatile device designed for real-time monitoring and analysis of electrical signals in circuits. It is widely used for troubleshooting and diagnostics in various electronic applications. This component is particularly useful for detecting signal patterns, voltage levels, and other electrical characteristics, making it an essential tool for engineers, hobbyists, and technicians.

Explore Projects Built with MH-ET Live Scanner

Use Cirkit Designer to design, explore, and prototype these projects online. Some projects support real-time simulation. Click "Open Project" to start designing instantly!
Arduino and ESP8266 Based Environmental Monitoring System with GPS Tracking
Image of sih1: A project utilizing MH-ET Live Scanner in a practical application
This circuit is a multi-sensor data acquisition system with remote data transmission capabilities. It uses an Arduino UNO to collect data from an HC-SR04 ultrasonic sensor for distance measurement, a DHT11 sensor for temperature and humidity, an MQ-5 sensor for gas detection, and a GPS NEO 6M module for location tracking. The collected data is sent to an ESP8266 NodeMCU, which transmits it to a remote server via Wi-Fi for monitoring and analysis.
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Wi-Fi Controlled Smart Feeder with ESP-8266 and Ultrasonic Sensor
Image of smart pet feeder: A project utilizing MH-ET Live Scanner in a practical application
This circuit is an automated pet feeder controlled by an ESP-8266 microcontroller. It uses an HC-SR04 ultrasonic sensor to monitor food levels, an RTC DS3231 for timekeeping, and a micro servo to dispense food at scheduled times. The system connects to Wi-Fi for remote monitoring and control.
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Arduino Mega 2560 Biometric Security System with Wi-Fi Connectivity
Image of Health Monitoring Device (Collab): A project utilizing MH-ET Live Scanner in a practical application
This is a multi-functional sensor system controlled by an Arduino Mega 2560, designed to read biometric data from a pulse oximeter and an infrared thermometer, authenticate using a fingerprint scanner, display information on an OLED screen, and transmit data wirelessly via an ESP8266 module. User inputs can be received through two pushbuttons, and the system's power distribution is managed through common ground and voltage supply nets.
Cirkit Designer LogoOpen Project in Cirkit Designer
Arduino 101 Based Metal Detection and GPS Tracking System with RF Communication
Image of Transmission Ckt Diagram: A project utilizing MH-ET Live Scanner in a practical application
This is a sensor-based monitoring system with an Arduino 101 microcontroller at its core, designed to detect metal, provide visual and audio alerts, transmit data wirelessly, and track GPS location. It is powered by a 3xAA battery pack and includes signal conditioning and current limiting components.
Cirkit Designer LogoOpen Project in Cirkit Designer

Explore Projects Built with MH-ET Live Scanner

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 sih1: A project utilizing MH-ET Live Scanner in a practical application
Arduino and ESP8266 Based Environmental Monitoring System with GPS Tracking
This circuit is a multi-sensor data acquisition system with remote data transmission capabilities. It uses an Arduino UNO to collect data from an HC-SR04 ultrasonic sensor for distance measurement, a DHT11 sensor for temperature and humidity, an MQ-5 sensor for gas detection, and a GPS NEO 6M module for location tracking. The collected data is sent to an ESP8266 NodeMCU, which transmits it to a remote server via Wi-Fi for monitoring and analysis.
Cirkit Designer LogoOpen Project in Cirkit Designer
Image of smart pet feeder: A project utilizing MH-ET Live Scanner in a practical application
Wi-Fi Controlled Smart Feeder with ESP-8266 and Ultrasonic Sensor
This circuit is an automated pet feeder controlled by an ESP-8266 microcontroller. It uses an HC-SR04 ultrasonic sensor to monitor food levels, an RTC DS3231 for timekeeping, and a micro servo to dispense food at scheduled times. The system connects to Wi-Fi for remote monitoring and control.
Cirkit Designer LogoOpen Project in Cirkit Designer
Image of Health Monitoring Device (Collab): A project utilizing MH-ET Live Scanner in a practical application
Arduino Mega 2560 Biometric Security System with Wi-Fi Connectivity
This is a multi-functional sensor system controlled by an Arduino Mega 2560, designed to read biometric data from a pulse oximeter and an infrared thermometer, authenticate using a fingerprint scanner, display information on an OLED screen, and transmit data wirelessly via an ESP8266 module. User inputs can be received through two pushbuttons, and the system's power distribution is managed through common ground and voltage supply nets.
Cirkit Designer LogoOpen Project in Cirkit Designer
Image of Transmission Ckt Diagram: A project utilizing MH-ET Live Scanner in a practical application
Arduino 101 Based Metal Detection and GPS Tracking System with RF Communication
This is a sensor-based monitoring system with an Arduino 101 microcontroller at its core, designed to detect metal, provide visual and audio alerts, transmit data wirelessly, and track GPS location. It is powered by a 3xAA battery pack and includes signal conditioning and current limiting components.
Cirkit Designer LogoOpen Project in Cirkit Designer

Common Applications and Use Cases

  • Debugging and troubleshooting electronic circuits
  • Monitoring signal integrity in communication systems
  • Analyzing voltage levels in power supply circuits
  • Educational purposes for learning about signal behavior
  • Testing and validating circuit designs

Technical Specifications

The MH-ET Live Scanner is designed to provide accurate and reliable signal analysis. Below are its key technical specifications:

General Specifications

Parameter Value
Operating Voltage 3.3V to 5V
Input Signal Range 0V to 5V
Display Type LED bar graph
Number of LEDs 10
Response Time Real-time
Dimensions 40mm x 20mm x 10mm
Power Consumption Low (<50mA)

Pin Configuration and Descriptions

The MH-ET Live Scanner has a simple pinout for easy integration into circuits. Below is the pin configuration:

Pin Name Description
VCC Power supply input (3.3V to 5V)
GND Ground connection
SIG Signal input for monitoring (0V to 5V range)

Usage Instructions

The MH-ET Live Scanner is straightforward to use and can be integrated into a variety of circuits. Follow the steps below to use the component effectively:

Connecting the MH-ET Live Scanner

  1. Power Supply: Connect the VCC pin to a 3.3V or 5V power source and the GND pin to the ground of your circuit.
  2. Signal Input: Connect the SIG pin to the signal line you want to monitor. Ensure the signal voltage does not exceed the 0V to 5V range.
  3. LED Display: Observe the LED bar graph, which will light up in proportion to the input signal voltage.

Important Considerations

  • Signal Range: Ensure the input signal voltage is within the 0V to 5V range to avoid damaging the device.
  • Power Supply: Use a stable power source to ensure accurate readings.
  • Placement: Place the scanner in a location where the LEDs are easily visible for real-time monitoring.

Example: Using with Arduino UNO

The MH-ET Live Scanner can be connected to an Arduino UNO to monitor analog signals. Below is an example setup and code:

Circuit Connection

  • Connect the VCC pin of the scanner to the 5V pin on the Arduino.
  • Connect the GND pin of the scanner to the GND pin on the Arduino.
  • Connect the SIG pin of the scanner to an analog output pin (e.g., A0) on the Arduino.

Arduino Code

// Example code to generate a varying signal for the MH-ET Live Scanner
// Connect the SIG pin of the scanner to pin A0 on the Arduino

void setup() {
  pinMode(A0, OUTPUT); // Set A0 as an output pin
}

void loop() {
  for (int i = 0; i <= 255; i++) {
    // Generate a ramp-up signal (0 to 5V)
    analogWrite(A0, i); // Write PWM signal to A0
    delay(10); // Small delay for smooth transition
  }
  for (int i = 255; i >= 0; i--) {
    // Generate a ramp-down signal (5V to 0)
    analogWrite(A0, i); // Write PWM signal to A0
    delay(10); // Small delay for smooth transition
  }
}

Best Practices

  • Use short and well-insulated wires to minimize noise in the signal.
  • Avoid exposing the scanner to high temperatures or humidity.
  • Regularly check connections to ensure stable operation.

Troubleshooting and FAQs

Common Issues and Solutions

  1. No LEDs Light Up

    • Cause: Power supply not connected or insufficient voltage.
    • Solution: Verify the VCC and GND connections and ensure the voltage is within the 3.3V to 5V range.
  2. LEDs Do Not Respond to Signal

    • Cause: Signal voltage is out of range or not connected.
    • Solution: Check the SIG pin connection and ensure the signal voltage is between 0V and 5V.
  3. Flickering LEDs

    • Cause: Unstable power supply or noisy signal.
    • Solution: Use a stable power source and add a capacitor to filter noise if necessary.

FAQs

Q: Can the MH-ET Live Scanner handle AC signals?
A: No, the scanner is designed for DC signals within the 0V to 5V range. For AC signals, use a rectifier circuit to convert them to DC.

Q: Can I use the scanner with a 12V power supply?
A: No, the maximum operating voltage is 5V. Using a higher voltage may damage the device.

Q: How do I interpret the LED bar graph?
A: The number of lit LEDs corresponds to the input signal voltage. For example, if 5 LEDs are lit, the signal voltage is approximately 2.5V.

By following this documentation, you can effectively use the MH-ET Live Scanner for real-time signal monitoring and analysis.