Manual calling and entry errors
A dealer's call, a surveillance re-entry — one mistyped card means an incorrect payout, a complaint and a refund, then hours of footage review to prove what happened.
Vision-based card recognition
EWIN AI VISION reads the felt from an overhead IP camera, computes points and outcome automatically, and pushes the result to the dealer tablet, the roadmap boards and your back office. Your floor needs one ingest server — and no change to the table.
In production on live baccarat tables; other card games are in development.
Table yield comes down to pace and trust. Every manual step in the round is a source of error and expense.
A dealer's call, a surveillance re-entry — one mistyped card means an incorrect payout, a complaint and a refund, then hours of footage review to prove what happened.
Rounds per hour set table yield directly. Waiting for manual confirmation, entry and reconciliation adds seconds to every single round.
When a VIP questions a round, someone has to pull and scrub timeline footage. It is slow, and it is felt directly in the guest experience.
Without a clean record of every card in every round, there is no roadmap analytics, no table efficiency review, no anomaly detection and no risk control.
Capture, streaming, recognition, settlement and integration are delivered and owned end to end. Your floor supplies IP cameras, one ingest server and a tablet at each table.
The moment cards settle they are read, the game's rules are applied to points, draws and outcome, and the result is out within 300 milliseconds.
Every result appears on the tablet at the table. If a read looks wrong the dealer corrects it on the spot, and the correction is logged in full.
A single ingest server collects every table's IP camera feed and pushes it to the platform. No compute box per table.
Each round stores card images, timestamps and confidence scores. Disputes are answered from one lookup instead of a footage hunt.
Mount an overhead IP camera on a bracket, or reuse the camera already there. A table goes live in hours, without closing it.
REST, WebSocket and Webhook outputs feed roadmap boards, live-dealer platforms, lobby displays, BI reporting and your existing systems.
A plain transparent shoe or an AngelEye smart shoe you have already deployed — either works, and both can run at once so each verifies the other.
Keep the transparent shoe you already use — no electronic shoe required. An overhead IP camera captures the felt and AI vision reads every card.
If your floor already runs AngelEye smart shoes, plug straight in. The shoe emits every drawn card over RS-232, converted to Ethernet by a Moxa serial device server and fed to the ingest server.
AngelEye is a trademark of Angel Group Co., Ltd. Moxa and NPort are trademarks of Moxa Inc. This page describes integration compatibility only and implies no partnership or endorsement.
Four stages. Your floor owns the hardware in the first two; we deliver the rest.
An overhead IP camera holds a fixed view of the card area, covering every betting box and third-card position.
One ingest server on site collects every table's camera feed, encodes it and pushes it to the streaming platform.
The platform detects each card, reads rank and suit, then applies the game's rules for draws, outcome and side bets.
The result lands on the dealer tablet for verification, then goes out to roadmap boards, displays and your back office.
Recognition is decoupled from game rules: the core identifies cards, a rules module settles the round. Any playing-card game can therefore be supported — only the order of development differs.
Choose against what your floor already has. Nothing here requires rebuilding tables or re-architecting your network.
IP cameras, brackets, PoE switching, ingest server and dealer tablets delivered together — right for new tables or for the best possible capture conditions.
Keep the overhead IP cameras you already run and add only the ingest server and tablets. Lowest cost and lowest install effort.
Run one table live, measure real accuracy, latency and workflow impact on your floor, then scale once you are satisfied.
Send us photos or footage of your table and we will run an offline assessment, then report the accuracy and latency actually achievable in your conditions.