Machine Vision Core
Real cards are captured, classified, and translated into digital game actions in real-time using YOLO detection.
FEATURE HIGHLIGHTS
Main Features
Built to showcase both computer vision and technical depth. These systems define what makes Cardweaver unique and demonstrate engineering excellence across multiple domains.
What Makes It Special
Core systems and gameplay innovations
Detection Reliability
Voting mechanisms, confidence thresholds, and fallback logic keep recognition stable enough for competitive play.
Game Integration
Seamless integration between physical cards and digital state ensures responsive, lag-free gameplay.
PvP Tabletop Flow
Real players take turns at the table, play physical cards to camera, and trigger mapped mythical card actions.
Multiplayer
Networked real-player PvP sessions with synchronized state, turn order, mana tracking, and battle resolution.
Polish & Customization
Themes, settings, audio controls, and debug tools create a complete, professional experience.
Deep Dive Features
Technical implementation and game design
Real-Time Detection
20 FPS target performance for detecting all 52 cards with sub-100ms response time for instant gameplay feedback.
Card Battle System
Detected cards resolve into damage, effects, and state changes. Supports complex interactions and combo mechanics.
Voice Integration
Real-time voice chat with compression and network optimization for multiplayer coordination.
Project Impact
Why these features matter together
Technical Excellence
Detection, networking, audio, and gameplay are all optimized and work together seamlessly.
User Experience
Customization, settings, and polish make the project feel finished and professional rather than experimental.
Versatility
The vision pipeline is not limited to raw card detection; it powers real-player PvP mapping, mana systems, and expandable battle rules.