About Project » History » Revision 4
Revision 3 ( Yaroslav MAYDEBURA, 10/30/2025 03:53 PM) → Revision 4/5 ( Yaroslav MAYDEBURA, 10/30/2025 03:54 PM)
h1. 🎯 About Project - G12-2025 !https://img.freepik.com/free-vector/projector-screen-presentation-concept_1017-31929.jpg?w=740! --- h2. I. 📖 Project Overview {background:#f0f8ff; padding:15px; border-radius:5px} Our project focuses on developing a *high-quality image composition system* that seamlessly merges two or more projected images into a single, visually consistent display. Using *Python* and *OpenCV*, we employ advanced image processing techniques such as: * 🎨 *Gamma Correction* - For brightness normalization * 🔄 *Alpha Blending* - For smooth transitions * ✨ *Intensity Modification* - For color consistency The project is organized into specialized sub-teams responsible for software development, UML design, testing, and wiki management. Each member plays a key role in ensuring collaborative progress and well-structured documentation. {background} !https://img.freepik.com/free-vector/code-typing-concept-illustration_114360-3866.jpg?w=740! *Key Integration Tools:* * 📚 *Doxygen* - Automated code documentation * 📊 *Redmine* - Project tracking and management * 🎨 *Astah* - UML diagram creation Our goal is to produce a well-documented, scalable, and reproducible system for real-time image correction and blending. --- h2. II. 💡 Motivation & Problem Statement !https://img.freepik.com/free-vector/problem-solving-concept-illustration_114360-4994.jpg?w=740! h3. The Challenge When using multiple projectors to display a single image, several issues arise: {background:#fff3cd; padding:10px} ⚠️ *Common Problems:* * Visible seams in overlapping regions * Brightness inconsistencies between projectors * Color mismatches at boundaries * Uneven final projection quality {background} h3. Current Limitations * ⏱️ Manual calibration is time-consuming * 🎯 Human error in manual adjustments * 💰 Hardware-based solutions are expensive * 🔧 Limited flexibility for different setups h3. Our Solution {background:#e7f3ff; padding:10px} ✨ *Software-Based Automation* We develop an intelligent system that: 1. *Detects* overlapping areas automatically 2. *Applies* brightness corrections in real-time 3. *Blends* images smoothly using alpha blending 4. *Eliminates* the need for costly hardware calibration By leveraging the *OpenCV* library, our system automates the entire alignment and blending process, ensuring seamless image projection with minimal manual intervention. {background} --- h2. III. 🎯 Objectives !https://img.freepik.com/free-vector/target-concept-illustration_114360-1019.jpg?w=400! |_. # |_. Objective |_. Status | | 1 | Develop automated image blending system for multiple projections | 🔄 In Progress | | 2 | Apply gamma correction and intensity modification techniques | ✅ Algorithm Designed | | 3 | Implement alpha blending for smooth transitions | ✅ Implemented | | 4 | Design system architecture using UML diagrams | ✅ Complete | | 5 | Document entire project using Doxygen | 🔄 Ongoing | | 6 | Manage tasks and track progress via Redmine | ✅ Active | --- h2. IV. 🌟 Key Features !https://img.freepik.com/free-vector/features-overview-concept-illustration_114360-2186.jpg?w=740! h3. Core Capabilities {background:#f0f8ff; padding:10px} *🎨 Image Processing Features:* * Multi-image composition and merging * Automatic overlap detection * Real-time brightness adjustment * Color consistency maintenance * Seamless boundary blending {background} h3. Technical Features * *⚡ Performance:* Real-time processing capability * *🔧 Flexibility:* Supports 2+ projector configurations * *📊 Accuracy:* Pixel-level precision in blending * *🎯 Reliability:* Consistent results across different inputs h3. System Features * *📚 Documentation:* Comprehensive Doxygen-generated docs * *🧪 Testing:* Automated test suite for quality assurance * *🔄 Version Control:* Git-based collaborative development * *📊 Project Management:* Redmine integration for tracking --- h2. V. 🏗️ System Architecture !https://img.freepik.com/free-vector/architecture-blueprint-concept_23-2148649783.jpg?w=740! {background:#e7f3ff; padding:15px} h3. Architecture Overview Our system follows a modular design pattern with clear separation of concerns: *Layer 1: Input Processing* * Image acquisition from multiple sources * Pre-processing and validation *Layer 2: Analysis & Correction* * Overlap detection algorithms * Gamma correction calculations * Intensity adjustment computations *Layer 3: Blending & Composition* * Alpha blending engine * Final image composition * Real-time rendering *Layer 4: Output & Display* * Optimized image delivery * Multi-projector synchronization _For detailed UML diagrams, see [[UML Diagrams]]_ {background} --- h2. VI. 🔬 Methodology and Development Process !https://img.freepik.com/free-vector/agile-method-concept-illustration_114360-9878.jpg?w=740! h3. Development Approach We follow an *Agile-inspired iterative development process*: |_. Phase |_. Activities |_. Duration | | Planning | Requirements analysis, team formation | Week 1-2 | | Design | UML diagrams, architecture design | Week 3-4 | | Development | Core algorithm implementation | Week 5-8 | | Testing | Unit testing, integration testing | Week 7-9 | | Documentation | Code docs, wiki, user guides | Ongoing | | Refinement | Optimization and bug fixes | Week 10+ | h3. Quality Assurance Process {background:#fff3cd; padding:10px} *Testing Strategy:* 1. *Unit Testing* - Individual component validation 2. *Integration Testing* - System-wide functionality 3. *Performance Testing* - Speed and efficiency metrics 4. *User Acceptance Testing* - Real-world scenario validation {background} h3. Collaboration Tools * *Version Control:* Git & GitHub for code management * *Project Tracking:* Redmine for task and issue management * *Communication:* Regular team meetings and Slack * *Documentation:* Doxygen for code, Wiki for project info --- h2. VII. 🛠️ Technology Stack !https://img.freepik.com/free-vector/technology-concept-illustration_114360-1437.jpg?w=740! h3. Programming & Libraries {background:#f0f8ff; padding:10px} *Core Technologies:* |_. Technology |_. Purpose |_. Version | | !https://img.shields.io/badge/Python-3.9+-blue! | Primary language | 3.9+ | | !https://img.shields.io/badge/OpenCV-4.x-green! | Image processing | 4.x | | !https://img.shields.io/badge/NumPy-Latest-orange! | Numerical computations | Latest | {background} h3. Development Tools * *🎨 Astah* - UML diagram creation and management * *📚 Doxygen* - Automated documentation generation * *📊 Redmine* - Project management and issue tracking * *🔧 Git* - Version control and collaboration h3. Development Environment * *IDE:* PyCharm / VS Code * *OS:* Cross-platform (Windows, macOS, Linux) * *Testing:* pytest framework * *CI/CD:* GitHub Actions (planned) --- h2. VIII. 🌍 Application & Impact !https://img.freepik.com/free-vector/global-network-concept_23-2148590062.jpg?w=740! h3. Real-World Applications {background:#e7f3ff; padding:15px} *Industry Use Cases:* 🎭 *Entertainment & Events* * Large-scale concert projections * Theater and stage productions * Immersive art installations 🏢 *Corporate & Education* * Conference room presentations * Educational institutions * Training facilities 🎮 *Gaming & Simulation* * Flight simulators * Virtual reality environments * Gaming arcades 🏛️ *Museums & Exhibitions* * Interactive displays * Historical recreations * Planetariums {background} h3. Project Impact * *Cost Reduction:* Eliminates expensive hardware calibration systems * *Time Savings:* Automated process vs. manual adjustment * *Quality Improvement:* Consistent, reproducible results * *Accessibility:* Software-based solution available to more users * *Scalability:* Easily adapts to different projector configurations --- h2. IX. 🚀 Limitations & Future Enhancements !https://img.freepik.com/free-vector/future-technology-concept_23-2148624315.jpg?w=740! h3. Current Limitations {background:#fff3cd; padding:10px} ⚠️ *Known Constraints:* * Processing time increases with image resolution * Requires compatible projector specifications * Limited to static image composition (no video yet) * Calibration needed for each new setup {background} h3. Planned Enhancements {background:#e7f3ff; padding:15px} *Phase 2 Features:* 🎥 *Video Support* * Real-time video blending * Multi-stream synchronization 🤖 *AI Integration* * Machine learning for automatic calibration * Intelligent scene detection ⚡ *Performance Optimization* * GPU acceleration * Parallel processing implementation 🌐 *Extended Compatibility* * Support for more projector models * Cloud-based processing option 📱 *User Interface* * GUI for non-technical users * Mobile app for remote control 🔧 *Advanced Features* * 3D projection mapping * Curved surface support * Dynamic brightness adjustment {background} h3. Research Opportunities * Integration with IoT devices for smart environments * Edge computing implementation for distributed systems * Advanced color science algorithms * Virtual reality applications --- {background:#f0f8ff; padding:10px; text-align:center} *📅 Last Updated:* October 30, 2025 *📝 Maintained by:* Documentation Team [[Group Members|View Team]] | [[UML Diagrams|Technical Design]] | [[Class Activity|Progress Log]] {background}