Improved Detection
Stronger accuracy through dataset expansion, model refinement, and edge-case handling for more reliable play.
Dual Realms
Potential improvements and future directions for Cardweaver that would expand the vision and deepen the experience.
Next steps for the project
Stronger accuracy through dataset expansion, model refinement, and edge-case handling for more reliable play.
Extended card types with unique effects, special abilities, and synergies that create deeper strategic gameplay.
Advanced metrics and analytics from the detection pipeline to provide insights into gameplay patterns and accuracy.
Cleaner backend service deployment, containerization, and easier setup for running Cardweaver on different systems.
More sophisticated UI feedback for card detection, animations for special effects, and immersive visual themes.
Leaderboards, replays, deck sharing, and competitive ranked modes to foster community engagement.
Staying focused on the core vision
All future work remains grounded in the computer vision core. Improvements should deepen the detection experience rather than drift away from it.
Expand the PvP tabletop ruleset and prove that the vision pipeline scales to richer mythical card, mana, and combat systems.
Prioritize polish, reliability, and excellent documentation. A focused project with depth beats scattered features.
Cardweaver represents a complete vision of how computer vision can drive interactive entertainment. Whether it evolves into new game modes, improved detection, or expanded multiplayer features, the core principle remains: real cards, digital gameplay, and the bridge between physical and virtual worlds.