The Microphone Sound Sensor Module is a sound detection module designed to detect ambient sound levels using an electret microphone and an LM393 voltage comparator. It features adjustable sensitivity, digital (DO) and analog (AO) outputs, making it ideal for Arduino, ESP32, Raspberry Pi, robotics, sound-activated projects, and DIY electronics.
Features
- High-sensitivity electret microphone
- Adjustable sound detection threshold
- Digital and analog outputs
- Onboard LM393 comparator
- Power and signal indicator LEDs
- Compact PCB design
- Easy interface with microcontrollers
Specifications
| Specification | Value |
|---|---|
| Product Type | Sound Sensor Module |
| Sensor Type | Electret Microphone |
| Comparator IC | LM393 |
| Operating Voltage | 3.3V – 5V DC |
| Operating Current | ≤15 mA |
| Detection Type | Sound Intensity |
| Output Type | Digital (DO) and Analog (AO) |
| Sensitivity Adjustment | Yes (Onboard Potentiometer) |
| Response Time | ≤10 ms (Typical) |
| Operating Temperature | -20°C to +70°C |
Pin Configuration
| Pin | Description |
|---|---|
| VCC | Power Supply (3.3V–5V) |
| GND | Ground |
| DO | Digital Output |
| AO | Analog Output |
Note: The digital output (DO) changes state when the detected sound level exceeds the threshold set using the onboard potentiometer. The analog output (AO) provides a variable voltage proportional to the sound intensity.
Applications
- Clap switch projects
- Sound-activated lighting
- Noise detection systems
- Arduino projects
- ESP32 and Raspberry Pi projects
- Robotics
- Smart home automation
- Educational electronics
- DIY electronics projects
Advantages
- Adjustable sensitivity
- Dual analog and digital outputs
- Low power consumption
- Fast response
- Easy microcontroller interface
- Compact and lightweight
- Cost-effective
Size
| Specification | Value |
|---|---|
| PCB Dimensions | Approx. 45 × 16 × 12 mm |
| Mounting Hole Diameter | Approx. 3 mm |
| Weight | Approx. 5 g |
Package Includes
- 1 × Microphone Sound Sensor Module
Note: This module detects sound intensity rather than recognizing specific voices or audio content. It is suitable for clap detection, noise sensing, and sound-triggered applications. For voice recording or speech recognition, use a dedicated microphone module with an ADC or digital audio interface.








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