SkyCanvas Perspective-Aware Aerial Imagery System
Innovative project by Purdue University to revolutionize aerial displays through advanced image processing and drone technology.
Advanced Image Processing
Develop cutting-edge algorithms for analyzing and segmenting uploaded images for precise drone portrayal.
3D Spatial Mapping
Integrates state-of-the-art 3D spatial mapping to accurately position drones in real-time, considering complex environmental variables for precision in aerial displays.
Interactive Web Platform
Build a Flask-based web interface for image uploads, display previews, and real-time viewing angle adjustments.
Real-Time Adaptive Algorithms
Employs adaptive algorithms that dynamically adjust drone positions and LED outputs based on live feedback, ensuring optimal display quality under varying conditions.
Automated Collision Avoidance
Features advanced collision avoidance systems, enabling drones to autonomously detect and evade potential collisions, ensuring the safety and integrity of the display.
High-Resolution Display Capabilities
Supports high-resolution aerial displays by coordinating large fleets of drones, each acting as a pixel, to create complex and detailed images.
Timeline
This estimate is approximate and subject to change pending finalization of the project specifications.
- Weeks 1-3: Algorithm development for image segmentation and drone coordination, with an emphasis on viewing angle adjustments.
- Weeks 2-4: Development of the Flask web application.
- Weeks 4-6: Simulation testing, incorporating viewing angle adjustments.
- Weeks 6-8: Controlled live tests to refine system functionality.
- Weeks 9: Final system implementation and full-scale demonstration.