Gesture-Controlled Smart Home
Gesture-Controlled Smart Home System
Computer Vision | IoT / Home Automation
Overview
A real-time gesture recognition system that uses computer vision to control Arduino-based home automation hardware. Hand gestures captured via webcam are recognized and translated into control signals transmitted to Arduino over serial communication, triggering physical actions in the home environment.
Key Features
Real-Time Gesture Recognition
Webcam-based hand gesture recognition with low-latency processing.
Arduino Home Automation
Hardware control triggered by recognized gestures.
Multi-Gesture Support
Multiple gesture types supported with noise filtering.
Low-Latency Response
Optimized pipeline for real-time control response.
Technology Stack
Algorithms & Methods
Gesture Recognition
Computer vision pipeline for hand gesture detection and classification.
Noise Filtering
Signal processing to eliminate false positives in gesture detection.
System Architecture
Vision Module
Webcam capture, gesture detection, classification
Communication Module
Serial command transmission to Arduino
Hardware Controller
Arduino-side signal processing and device control
Results & Outcomes
- Real-time gesture-to-action pipeline operational
- Multi-gesture vocabulary with reliable noise filtering
- Low-latency control response achieved