🚀 New! Smart IoT Devices + Free Dashboard Access - Control Your Devices Online -
Access the RobuKits IoT Dashboard
*Product images are for illustrative purposes only. Actual product may differ from images. Please refer to the product description and specifications for details.
Sound Sensor Module
₹53.0
Prices include applicable taxes.
0 sold
Only 100 left!
Check Delivery Availability
The Sound Sensor Module is a highly sensitive microphone-based module designed to detect sound signals from the environment. It converts sound waves into electrical signals and can be used to trigger actions in electronics projects when sound is detected. Compatible with Arduino, Raspberry Pi, and other microcontrollers, it is ideal for voice-activated projects, sound monitoring, and automation systems.
No reviews yet. Be the first to review!
Product Specifications
Specification | Details |
---|---|
Operating Voltage | 3.3V – 5V |
Output Types | Analog & Digital |
Microphone Type | High sensitivity condenser microphone |
Detection Range | Adjustable via onboard potentiometer |
Output Signal | TTL level digital signal (0/1) and analog output |
Onboard Indicator | LED to show sound detection |
Key Features
- Compact and easy-to-use sound detection module
- Adjustable sensitivity with onboard potentiometer
- Provides both analog and digital outputs
- Built-in LED indicator for visual feedback
- Compatible with popular microcontrollers like Arduino, ESP32, and Raspberry Pi
- Can detect claps, knocks, or any sound signals in the environment
Applications
- Voice-activated projects and automation
- Clap switch circuits
- Security and surveillance systems
- Sound-controlled lighting systems
- Smart home automation
- Sound level detection and monitoring
Inside the Box
- 1 × Sound Sensor Module
Frequently Asked Questions
Yes, the onboard potentiometer allows you to fine-tune sensitivity.
It works with Arduino, ESP32, ESP8266, Raspberry Pi, and other microcontrollers.
No, it detects the presence of sound levels, not specific voice commands. For speech recognition, an advanced module is required.