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Analog Sound Sensor Microphone Module for Arduino

₹134.00Price
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What this module is

The Analog Sound Sensor Module is a microphone-based sensor used to detect sound intensity (loudness).

Important:

  • It does NOT record audio

  • It only measures how loud the sound is

 

Working Principle

  • Uses an electret microphone

  • Converts sound electrical signal

  • Amplifier boosts signal

  • Outputs analog voltage based on sound level

 

Output voltage changes with sound intensity

Key Specifications

  • Operating Voltage: 3.3V 5V

  • Output Type: Analog (A0), sometimes Digital (D0)

  • Sensitivity: Adjustable via potentiometer

  • Signai>

    Frequency Range: ~16 Hz 20 kHz (human hearing range)

 

Pinout

3-pin / 4-pin versions:

  • VCC 3.3V / 5V

  • GND Ground

  • AO (Analog Output) Analog pin

  • DO (Digital Output) Digital pin (optional)

Output Types (VERY IMPORTANT)

Analog Output (AO)

  • Gives real-time sound level values

  • Used for:

    • Sound graphs

    • Noise measurement

Digital Output (DO)

  • HIGH/LOW based on threshold

  • Used for:

    • Clap detection

    • Sound trigger systems

Applications

  • Clap switch (turn ON/OFF light)

  • Music reactive LEDs

  • Voice-triggered robotics

Important Notes (very important)

  • Cannot measure exact decibels (dB) accurately

  • Cannot record or process audio

  • Output is noisy and fluctuating (normal behavior)

  • Needs filtering in code for stable readings

Real-world issue:

  • Values don't change much normal for cheap modules (low amplification)

Types of Sound Sensors

Type

Example

Use

Basic Analog

KY-037 / KY-038

Simple projects

Amplified Mic

MAX4466 / MAX9814

Better audio sensing

Digital Mic

INMP441

Advanced f you want:

  • Simple sound detection

  • Clap-based projects

  • Noise level monitoring

 

When NOT to use

Avoid this if you need:

  • Audio recording

  • Speech recognition

  • Accurate sound measurement

 

Final Understanding

This sensor = sound level detector (not microphone recorder) Best for trigger-based

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