About the Project

This is an automated desktop TCG card sorter designed to handle trading cards like "Magic: The Gathering", "Pokémon", "Flesh and Blood", and other trading card games.

It uses offline image recognition to classify and distribute cards into multiple slots — making collection management fast and easy.

The project is still in development, but new cards are expected to be addable both manually and via online updates.

Follow its development on this website — and support the project to receive exclusive bonuses when it launches.

 


 

Specifications

  • 6 sorting slots + 1 for unknown cards
  • Compact desktop solution for home users, hobbyists and local game clubs.
  • Supports 63×88×0.3mm cards (MTG, Pokémon, FaB, etc.).
  • Estimated processing speed: 25-30 cards per minute.
  • Built-in mini-AI for offline card recognition.
  • Recognition rules can be added manually or via subscription.
  • 3D-printed enclosure.
  • Standard, widely available electronic components.
  • Size & Weight: 319×459×295mm / 3 kg.
  • Capacity: feeder up to 400 cards; slots: 2×400 + 2×300 + 2×200 + 1×180 = 1980 cards total
  • DIY Kit Format: some parts will come pre-assembled, but final assembly by the user will be required (no advanced technical skills are required).
  • Estimated price: ~€1500.
    (May change during prototyping and preparation for production)

 


 

Development Timeline

[x] 2024-03 — Hobby-stage concept testing

[x] 2024-05 — Prototype AI for card image recognition

[x] 2024-08 — Design & planning

[x] 2024-10 — Purchasing components and materials for prototyping

[x] 2024-12 — Buying a 3D printer for prototyping

[~] >>> Prototyping (in progress)

[ ] Production preparation

[ ] Assembly and small-batch production

[ ] Sales & delivery

 

Results

We’ve completed CAD models of all casing parts, optimized for 3D printing — fast, adaptable, and ideal for early-stage production.

All key components have been selected (computer, display, sensors, servos, power units, etc.).

Initial tests of the mini-AI for card recognition are promising: with a base of 100,000 cards, the estimated detection time is ~0.5 seconds.

 


 

Support the project

Choose a donation tier and support the early development of the project. Every contribution helps bring it closer to reality.

If this project sparked a discussion in your community or among friends, that kind of support is no less appreciated.

Donations and future sales are the responsibility of Company.

Legacy Donation

✅ 1st-wave shipping priority
(if you purchase the device later)

✅ Glowing number 1.XX on device (limited)

✅ 10% discount on a future device purchase

✅ Special thank-you

❌ Refunds

❌ Some products or parts

Core Donation

✅ 2nd-wave shipping priority
(if you purchase the device later)

✅ Glowing number 2.XX on device (limited)

✅ 5% discount on a future device purchase

❌ Refunds

❌ Some products or parts

Supporter Donation

✅ 3rd-wave shipping priority
(if you purchase the device later)

✅ Glowing number 3.XX on device (limited)

❌ Discounts

❌ Refunds

❌ Some products or parts