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Sound Sensor Module

Sound Sensor Module

Sensor Module | Learning sensor | Electret Microphone

Regular price Rs. 42.00
Regular price Rs. 55.00 Sale price Rs. 42.00
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Product Description

The Sound Sensor Module is designed to detect sound and measure noise levels in the surrounding environment. It uses a sensitive microphone to convert sound waves into electrical signals, allowing projects to respond to claps, voices, or ambient noise.

This module provides reliable sound detection for a wide range of applications, including Arduino projects, robotics, smart alarms, noise monitoring, and STEM learning experiments. Its compact design makes it easy to integrate into DIY electronics, while the onboard components ensure stable and accurate performance.

What's in the Box?

1 x Sound Sensor Module

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Technical Specification

Sound Sensor Module

Electret Microphone Front-End

Uses an electret condenser microphone to capture acoustic pressure variations. Converts sound waves into corresponding electrical signals for processing.

LM393 Signal Comparator

Integrated LM393 comparator performs threshold-based sound detection. Sensitivity is adjustable via onboard potentiometer for calibrated response.

Dual Output Interface

Provides digital switching output for sound event detection. Analog output delivers voltage proportional to ambient sound intensity.

Single-Channel Module

Designed as a single-channel sensing module for microcontroller systems. Includes power and status LEDs for operational indication and diagnostics.

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Why You Should Buy Sound Sensor Module

Accurate Sound Detection

Accurately senses claps, voices, and ambient noise. Delivers reliable sound-triggered responses.

Real-Time Noise Measurement

Analog signal changes with sound intensity. Useful for basic noise measurement and analysis.

Direct Microcontroller Control

Digital output connects directly to microcontrollers. Ideal for Arduino, robotics, and automation projects.

Hands-On STEM Learning

Perfect for STEM experiments and rapid prototyping. Supports hands-on understanding of sound sensing.