Computer Vision · Live Table

Reading the whole table,
one deal at a time.

A real-time system that watches a live blackjack table with a single camera, recognizes every card, scores each hand against the dealer, and lights up the winners on a physical LED strip.

52-class card model 0.95 mAP@50 7 seats + dealer ~instant LED feedback

Live frame on a real casino table — every card detected and grouped by seat color, with all seven hands and the dealer scored in real time.

How it works

One phone camera in, a lit-up winning seat out. Five stages run every round.

📷

Capture

A phone camera (iVCam) feeds a top-down view of the felt.

🧠

Detect

Tiled YOLOv8 finds all 52 card classes, even tiny corner indices.

🎯

Group

Cards snap to 7 fixed seats on an arc, plus the dealer line.

🃏

Score

Each hand is totalled and compared to the dealer — win, lose, push, blackjack.

💡

Light

A Raspberry Pi LED strip lights winning seats in their seat color, near-instantly.

Fixed-seat table geometry

Cards are assigned to seats by geometry, so the LED mapping stays rock-solid no matter how the cards land.

Seat layout geometry overlaid on the table

7 player seats sit on an ellipse; the dealer owns everything below the red line.
Every card routes to its nearest seat point where the seat's center line meets the arc.
Geometry is fully tunable — apex, arc angle, radius and dealer line are all constants.
Each seat carries a fixed color, shared by the on-screen boxes and the physical LEDs.

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Tracked across real play

The system keeps running game stats for every seat and the dealer over live sessions.

139

Rounds dealt

760

Player hands

Blackjacks

Dealer busts