Project Hub /IoT & Connected Devices/Smart Home & Building Automation/Smart Home Automation Ecosystem Using SIPEED MAIXDUINO IoT Kit

Intermediate

ESP32

₹5,000 – ₹15,000

6 – 12 Hours

Partial Kit

Smart Home Automation Ecosystem Using SIPEED MAIXDUINO IoT Kit

An advanced smart home automation ecosystem built using the Sipeed Maixduino RISC-V IoT kit featuring a master gateway with AI capabilities and node devices for appliance control.

Originally published on CircuitDigest

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.

TowerPro SG90 Mini Servo – 180 degree Rotation – Standard Quality Rs. 179.00
MB102 Adjustable Breadboard Power Supply Module (3.3V & 5V) for Arduino & Raspberry Pi Rs. 139.00
DC Motor Plastic Fan Blade Rs. 19.00
ESP32 CAM WiFi Module Bluetooth with OV2640 Camera Rs. 1,483.00
5V 1 Channel Relay Module Rs. 87.00
Jumper Wire 10 Pin Male To Male 20cm Rs. 45.00
400 Points Mini Solderless Prototype PCB Breadboard High Quality Rs. 89.00
Jumper Wire 10 Pin Male To Female 20cm Rs. 45.00

Selected: Rs. 0.00

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How It Works

The Smart Home Automation Ecosystem operates through a distributed network of processing nodes and controllers coordinated by a central gateway. At the core of the system is the Sipeed Maixduino RISC-V IoT kit, which functions as the master gateway equipped with an integrated camera module for AI vision tasks. This allows the system to process visual inputs and trigger automated responses based on local machine learning processing. Connected wirelessly to the master gateway are two ESP32 microcontrollers acting as secondary nodes to expand the network's reach and processing capability. These nodes interface with a 4-channel relay module to switch connected electrical loads, a fan regulator for adjusting appliance speeds, and two servo motors for mechanical actuation tasks such as automated locking or latching. Powering the entire system is a dedicated power supply that delivers stable operating voltages to the logic boards and peripheral actuators. Users can interact with the ecosystem remotely via a custom web or mobile application, sending commands over the network to execute actions. Programming and logic implementation for the Sipeed Maixduino and ESP32 boards are handled using either the Arduino IDE or MaixPy IDE, allowing developers to define custom automation scripts, communication protocols, and AI-driven trigger conditions.

Why Build This

Design and implement a scalable, multi-node IoT architecture suitable for advanced industrial or domestic automation applications.

Integrate edge AI vision capabilities into a distributed embedded system to process visual triggers and automate physical responses.

Bridge wireless microcontroller nodes with physical actuators like relays, fans, and servos to control real-world electrical and mechanical loads.

Real-World Application

Transforming legacy non-smart home appliances into smart devices controllable via mobile apps, voice commands, and automated AI triggers.

Skills You'll Learn

Microcontroller networking

Edge AI vision implementation

Relay control and power switching

Servo motor actuation

Fan speed regulation

Wireless IoT communication

Arduino and MaixPy programming

Safety Precautions

Exercise caution when working with mains-powered relays and electronic dimming circuits to prevent electric shock.

Technology Tags

RISC-V

EDGE AI

IOT

VOICE RECOGNITION

IMAGE PROCESSING

MQTT

WEBSOCKETS

HOME AUTOMATION

SERVO MOTOR

Frequently Asked Questions

Can I use only one ESP32 instead of two for this project?

The system architecture is designed around a master gateway and distributed nodes to handle separate tasks like AI vision processing and appliance control. Reducing the number of microcontrollers would require rewriting the communication and task-allocation logic.

What is the role of the camera module in the Maixduino kit?

The camera module captures visual data for the AI vision capabilities of the master gateway, enabling features such as object recognition or visual triggers to control the smart home ecosystem.

Do I need prior experience with RISC-V architecture to build this?

While the Maixduino uses a RISC-V processor, you can program it using familiar environments like the Arduino IDE or MaixPy IDE, making it accessible if you have standard microcontroller programming experience.

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.

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