Project Hub /Audio Displays & Interactive Media/LED Matrix & Cube Displays/Sound Recognition Made Easy with Google Teachable Machine

Intermediate

INDUSBOARD

Project Specific

3 – 6 Hours

Partial Kit

Sound Recognition Made Easy with Google Teachable Machine

Learn how to build a sound recognition device using Google Teachable Machine and IndusBoard to trigger actions from voice or audio commands.

Originally published on ElectronicsForU

View original tutorial

Parts You'll Need

This project is sourced from another site, not written by us — this list is our best match of their components against what we stock, not a verified bill of materials. Always check the original blog (linked above) for the actual parts list before buying.

Microphone module - Analog Sound Sensor Module for Arduino Rs. 63.00
5V 1 Channel Relay Module Rs. 45.00
400 Points Mini Solderless Prototype PCB Breadboard High Quality Rs. 89.00
MB102 Adjustable Breadboard Power Supply Module (3.3V & 5V) for Arduino & Raspberry Pi Rs. 139.00
Jumper Wire 10 Pin Male To Male 20cm Rs. 45.00
Jumper Wire 10 Pin Male To Female 20cm Rs. 45.00

Selected: Rs. 0.00

We don't carry yet: Other Dev Board (Indusboard / Maixduino / misc)

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How It Works

This project implements automated sound recognition by combining the processing capabilities of the IndusBoard (or IndusBoard Coin) with cloud-based machine learning. First, audio signals from the environment are captured using a microphone connected to your computer or smartphone. A web browser running Google Teachable Machine processes these raw audio samples in real-time, extracting acoustic features to train a classification model capable of distinguishing between different sounds or voice commands. Once trained, the model evaluates live audio input against the learned classes. When a specific target sound is recognized with high confidence, the system can send trigger signals to the IndusBoard. Depending on the desired output configuration, the microcontroller can execute programmed logic or interface with an optional relay module to control external high-voltage hardware, effectively bridging the gap between machine learning inference and physical world actuation.

Why Build This

Develop practical competencies in integrating microcontroller hardware with cloud-based machine learning pipelines for edge-computing applications.

Implement real-world industrial monitoring solutions such as acoustic fault diagnosis in motors and automated wildlife tracking.

Design and prototype interactive smart home automation systems responsive to custom voice and audio commands.

Real-World Application

Detecting animal presence in forests, identifying bird species, diagnosing faults in motors and engines through sound analysis, and smart home voice automation.

Skills You'll Learn

Audio data acquisition

Machine learning model training

Microcontroller serial communication

Relay interfacing

Event-driven programming

Safety Precautions

Flagged during content review — not in the original source

Exercise caution when integrating optional relay modules with high-voltage AC mains circuits; ensure all high-voltage wiring is fully insulated and disconnected from power before making physical connections to the IndusBoard.

Technology Tags

ARTIFICIAL INTELLIGENCE

MACHINE LEARNING

GOOGLE TEACHABLE MACHINE

SPECTROGRAM

SOUND RECOGNITION

AUDIO PROCESSING

MICROCONTROLLERS

Frequently Asked Questions

Can the IndusBoard process the audio machine learning model locally without a computer or smartphone?

No, the audio capture and inference classification are handled by Google Teachable Machine running inside a web browser on a computer or smartphone, which then communicates the trigger signals to the IndusBoard.

Is an internet connection required for this project to work?

Yes, an active internet connection is necessary to access Google Teachable Machine in your web browser for training and running the audio classification model.

Do I need the optional relay module to complete the project?

No, the relay module is only required if you want the IndusBoard to physically control high-voltage external devices based on the recognized sounds.

Gallery

This page is part of Kitkraft's Project Hub — a curated collection of electronics & robotics projects gathered from the maker community to help students and hobbyists discover and learn to build. Kitkraft does not claim authorship of the original project, and makes no representation as to the accuracy, completeness or safety of third-party source material. The summary and "How It Works" explanation above are AI-generated, rewritten with reference to the original tutorial — not a reproduction of it. Full credit and a direct link to the original source are provided above. If you're the original creator and have a concern about how your work is represented here, please contact us and we'll address it promptly.

Kitkraft Project Hub — curated from the maker community, credited at the source.

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