Table Vision
Restaurant floor intelligence from an ordinary camera

Every table, every minute — and what to do about it.

An AI box at the restaurant watches the existing CCTV, tracks every table through its service, and turns it into decisions on staffing, table mix and revenue.

📷 Restaurant's camera → 🧠 Edge AI box at the venue (~₹22K) → ☁️ Only table data ~1 KB/s → 📊 This dashboard
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Free Just seated Dining Wrapping up Needs reset dashed = far view

Right now

Tables occupied
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Guests seated
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Seat utilisation
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guests ÷ seats at occupied tables
Longest-seated party
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Recommended actions

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Floor

Occupancy % of tables occupied, venue time

Events

Parties arriving and leaving appear here.

What last service tells the owner

Occupancy by hour clear-view tables vs all tables

01
Uses the camera they already have

Any RTSP/IP CCTV. Draw table zones once; the box does the rest.

02
Runs on a ₹22K edge box

Raspberry Pi 5 + AI accelerator handles several cameras. No cloud GPU, no video upload.

03
Tracks the whole table cycle

Seated → dining → wrapping up → left → reset, party size and time at table.

04
Turns it into decisions

Live nudges for the floor manager; staffing, table-mix and revenue insights for the owner.