AI-POWERED CHECKOUT INTELLIGENCE

The shortest line
isn’t always
the fastest.

Count what’s in the basket. Not just who’s in line.
QueueIQ turns overhead vision into basket-aware wait estimates—and a clear signal for where to go.

Real YOLOv8 detection on your own photos Wait model that learns from every checkout
CHECKOUT VISION ENGINELIVE VIEW
BasketIQ
OVERHEAD VISION / BASKET 1033 packaged · 1 produce
RECOMMENDATIONLane 02 · 1:42 estimated wait
BASKET CONTENTS BETTER DECISIONS
LANE 014:462 shoppers
LANE 033:292 shoppers
See the basket
A BETTER CHECKOUT STARTS HERE
01 / See beyond the headcount
02 / Predict the actual workload
03 / Make the next move obvious
01 — FROM VISION TO DIRECTION

Every basket tells a story.
We turn it into a shorter wait.

One overhead view. A clearer checkout.
Designed to connect computer vision to real-time guidance.

01

See what’s inside

An overhead camera provides the view. Computer vision is designed to estimate item quantities and basket composition.

02

Predict the workload

Combine the basket’s item mix, shoppers ahead, and cashier speed to estimate time until checkout.

03

Guide with a signal

Green, amber, or red lights communicate congestion. The dashboard shows the fastest lane and the reason behind it.

02 — BASKET-AWARE, NOT HEADCOUNT-BLIND

Two people. Fifty items.
Still think it’s the faster line?

THE WORKLOAD TELLS THE REAL STORY

More people can mean
less waiting.

In our demo, Lane 02 has more shoppers but smaller baskets. QueueIQ recommends it because the predicted checkout workload is lower.

Basket-aware predictionExample from the live control room
2 shoppers · 44 itemsLane 01
4:46
3 shoppers · 11 itemsLane 02 · Recommended
1:42
2 shoppers · 28 itemsLane 03
3:29

A signal anyone
can understand.

No app needed for shoppers. A traffic-light indicator gives an immediate read on each lane’s estimated wait.

FastUp to 2 min
Moderate2–4 min
BusyOver 4 min

The basket is the signal.

Detections are boxes and basket-fullness classes only. No facial recognition or shopper identity is used anywhere.

DON’T JUST WATCH THE QUEUE. CHANGE IT.

Make the line longer.
Watch the recommendation change.

Drop in a photo of a checkout line. Play real CCTV footage.
Watch the lanes, the signals, and the model update in real time.

The control room connects to the QueueIQ vision server on your local network: YOLOv8 counts the shoppers, a trained classifier rates every basket, and an online-learning model predicts the wait.