Project Hub /Artificial Intelligence & Edge ML/Gesture Recognition/Smart Home Solution using Gesture Recognition

Advanced

ESP8266

₹1,500 – ₹5,000

6 – 12 Hours

Partial Kit

Smart Home Solution using Gesture Recognition

Build an AI-powered smart home door control system operated via human gesture recognition on an Android app.

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.

NodeMCU ESP8266 WIFI development board based on CP2102 Rs. 660.00
TowerPro SG90 Mini Servo – 180 degree Rotation – Standard Quality Rs. 179.00
Jumper Wire 10 Pin Male To Male 20cm 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 Female 20cm Rs. 45.00

Selected: Rs. 0.00

We don't carry yet: Door mechanism setup

Browse all components

How It Works

The Smart Home Solution using Gesture Recognition integrates cloud-based machine learning with microcontroller-based hardware to enable touchless door automation. At the user interface level, an Android application running on an Android device captures user movements and sends the processed data via an MQTT Server. This communication relies on a Web Browser interface (HTML/JS) and Google Colab to host and execute the gesture recognition algorithms. The core processing hub is the ESP8266-based NodeMCU board, which connects to the local Wi-Fi network to listen for incoming MQTT control messages. Once the NodeMCU receives a validated gesture command indicating an open or close action, it generates a Pulse Width Modulation (PWM) signal to control an SG90 Servo Motor. The servo motor is physically integrated into a door mechanism setup, mechanically shifting the latch to lock or unlock the entryway. Connecting wires distribute power and logic signals throughout the circuit, ensuring seamless integration between the microcontroller, wireless network, and mechanical actuator.

Why Build This

Develop practical competence in deploying edge machine learning models alongside Internet of Things (IoT) hardware for real-world automation.

Implement publish-subscribe messaging protocols (MQTT) to enable reliable wireless communication between mobile interfaces and microcontrollers.

Design sophisticated electromechanical systems by interfacing low-power microcontrollers with servo actuators and custom door mechanisms.

Real-World Application

Contactless home security access control, touchless automation for smart home appliances, and gesture-controlled entry systems.

Skills You'll Learn

MQTT protocol implementation

Wi-Fi microcontroller networking

Servo motor PWM control

Android application interfacing

Edge machine learning deployment

Safety Precautions

No specific precautions noted for this build — always follow general electronics safety practices.

Technology Tags

MACHINE LEARNING

IOT

ANDROID

TENSORFLOW

TENSORFLOW LITE

MQTT

SERVO MOTOR

JAVA

PYTHON

HTML

Frequently Asked Questions

Can I use a different microcontroller instead of the NodeMCU?

The project specifically relies on the ESP8266 architecture within the NodeMCU board due to its integrated Wi-Fi capabilities required for MQTT communication, making alternative non-wireless boards unsuitable without major modifications.

How does the Android app communicate with the ESP8266?

Communication is handled via an MQTT Server, where the Android app publishes gesture command messages and the NodeMCU subscribes to those messages over a shared local network or cloud broker.

Is the SG90 Servo Motor strong enough to lock a heavy exterior door?

No, the SG90 is a lightweight, low-torque hobby servo intended primarily for lightweight prototype mechanisms, model doors, or demonstration locks rather than heavy security doors.

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.

PRJ-00582