Vision AI

Eyes on the line. Eyes on the lane.

Computer vision watches the kitchen, the drive-thru and the dining floor — surfacing bottlenecks, safety risks and throughput drops before a guest notices. Real-time alerts to the manager when something drifts.

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What is Nova Vision AI?

Vision AI is Nova's computer-vision layer for restaurant operations. It uses existing camera feeds to monitor kitchen station throughput, drive-thru lane times, queue length, and food-safety adherence — alerting managers in real time when metrics drift outside trained thresholds.

Chef plating dishes at a busy kitchen pass

BENEFIT 01

The kitchen,
watched in real time.

Vision AI tracks station throughput, ticket age, and prep adherence. When the fry station starts running 90 seconds long, the manager knows during the daypart — not at end-of-shift when it's already cost three orders.

Per-station throughput monitoring
Ticket-age detection before complaints land
Prep-adherence checks against recipe spec
Hand-hygiene and food-safety alerts

90s

Prep regression caught — before end of daypart

BENEFIT 02

The lane,
predicted before it backs up.

Drive-thru lane monitoring predicts queue length, identifies abandonment patterns, and feeds throughput data straight to Voice AI and KDS. Managers see the lane forecast for the next 30 minutes, not the last hour's report.

Real-time lane length and abandonment detection
30-minute throughput forecast
Feeds Voice AI and KDS to balance load
Vehicle-recognition for repeat-guest workflows

30 min

Forward-looking lane forecast managers can act on

BENEFIT 03

Alerts that find the manager —
before the complaint does.

When something drifts — a station slowing, a freezer door left open, a queue building beyond threshold — Vision AI alerts the manager's handheld or Copilot inbox. Not at end-of-shift. Not in the next morning's report. Now.

Real-time alerts to manager handheld or Copilot
Tuneable thresholds per location and daypart
Auto-grouping to avoid alert fatigue
Annotated video clip attached to every alert

Real example — fry-station regression

Vision AI flagged a 90-second prep regression on the fry station 40 minutes into lunch service. Manager swapped a station mid-rush. Throughput recovered by the next daypart — saving an estimated 40+ delayed tickets and an even larger number of unflagged ones in adjacent days that historically went unnoticed.

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See your kitchen the way Vision AI sees it.

20-minute walkthrough. Bring your busiest location's camera feed; we'll show you exactly what Vision AI would surface — what's going right and what's been quietly costing throughput.

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Eyes on the line. Eyes on the lane.

The kitchen,watched in real time.

The lane,predicted before it backs up.

Alerts that find the manager —before the complaint does.

Other AI capabilities

Voice AI

Reporting AI

Manager Copilot

See your kitchen the way Vision AI sees it.

The kitchen,
watched in real time.

The lane,
predicted before it backs up.

Alerts that find the manager —
before the complaint does.