Project Overview
ImagePulser is an advanced image processing system that combines computer vision, mathematical modeling, and hardware integration to create a comprehensive image vectorization and simplification solution.
The project demonstrates the integration of software algorithms with physical hardware, featuring a 2-axis Arduino-controlled webcam positioning system that can dynamically adjust camera angles for optimal image capture.
Key Features
- ✅ Dynamic image vectorization
- ✅ Bézier curve implementation
- ✅ Arduino webcam control
- ✅ Real-time processing
- ✅ Automated simplification
Project Demonstration
Watch the complete demonstration of ImagePulser's image vectorization and simplification capabilities:
Technical Implementation
Computer Vision
Advanced OpenCV algorithms for edge detection, contour analysis, and feature extraction from complex images.
Bézier Curves
Mathematical modeling using Bézier curves to create smooth, scalable vector representations of detected shapes.
Arduino Integration
2-axis servo control system for precise webcam positioning, enabling automated image capture from multiple angles.
Real-time Processing
Optimized algorithms for real-time image processing and vectorization with minimal latency.
Technical Architecture
Software Components
- C++ Core Engine: High-performance image processing pipeline
- OpenCV Library: Computer vision and image manipulation
- Bézier Mathematics: Custom implementation for curve generation
- Serial Communication: Arduino-PC interface protocol
Hardware Components
- Arduino Uno: Microcontroller for servo management
- Servo Motors: Precise 2-axis positioning system
- Webcam Mount: Custom mechanical assembly
- USB Webcam: High-resolution image capture device
Results & Applications
ImagePulser successfully demonstrates the integration of multiple technologies to solve complex image processing challenges. The system has potential applications in:
Digital Art
Converting photographs to vector art for scalable graphics and digital design.
Industrial Automation
Automated quality control and shape recognition in manufacturing processes.
Document Processing
Converting hand-drawn sketches and diagrams to digital vector formats.
Robotics
Object recognition and path planning for robotic navigation systems.