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Video analytics · Retail analytics

Footfall, Conversion and Queues From the Cameras in Store

Count the people who walk past, the people who come in and the people who wait. CrowdSense Desktop runs on the cameras you already have, from a merchandise tent at a festival to a chain of stores.

Footfall and passers-by
Conversion from the street
Queues and dwell
Compare every store
The Problem

Sales Tell You Who Bought. Not Who Walked Away.

The till knows the transactions. It does not know how many people walked past the window, how many came in and left, or how many gave up when the queue reached the door. At a festival merchandise stand it is the same problem, with a shorter window to fix it.

Counting passers-by, entries, queues and dwell from the cameras already watching the floor fills that gap, and puts every store or stand on the same measure.

Capabilities

The Numbers Between the Door and the Till

Footfall in and out

Entries and exits at every door, by hour and day.

Conversion from the street

A line on the footpath and a line at the door compare passers-by with people who came in.

Queues and wait time

Checkout and counter queue length and wait, with alerts when they grow.

Zones and dwell

Visits and dwell at displays, departments and fitting rooms, with heatmaps of where people go.

Occupancy and capacity

A live count inside, shown on a screen at the door if you need one.

Every store in one place

Multi-site dashboards and reports to compare locations, events or a whole chain.

How It Works

Measure a Store in Four Steps

  1. 01

    Install on a Windows PC

    Download CrowdSense Desktop and install it on a Windows 10, 11 or Server PC on the same network as your cameras, then sign in.

  2. 02

    Add your cameras

    Paste in each camera’s RTSP address, find it over ONVIF, or plug in a webcam. Choose the AI people profile.

  3. 03

    Draw lines and zones

    Lines at the doors and the footpath, zones over the queue and the displays you want to measure.

  4. 04

    Compare and act

    Footfall, conversion, queues and dwell in the portal, side by side for every store.

Camera set-up

Where to Put the Camera

Detection profile: AI people. Any IP camera that streams over RTSP works, with ONVIF optional, and so does a USB webcam.

Hardware and camera requirements →
  • Mount anywhere from looking straight down (0°) to level with the scene (90°). For doorways, a view from above and in front of the flow keeps people from hiding behind each other.

  • A person needs to fill at least 3% of the frame’s width. If they look tiny on screen, zoom in or move the camera closer.

  • At the door, a camera above and looking down at the entrance keeps shoppers from overlapping.

  • For conversion, the footpath camera needs a clear view of people walking past the window.

Pricing

Pay per Camera, per Event or per Month

All prices in Australian dollars, excluding GST. One feed is one camera stream.

Event pass

$195

per feed, per event

One event is one primary location, one name and branding, up to 5 days. Feeds go live 14 days before the first day for set-up and testing; dashboards and the post-event report stay readable for 3 months after.

Always-on

From $39

a feed a month, yearly plan

For venues that count every day. Month to month it is $69 a feed for up to 9 feeds, and less at volume. Every band is on the pricing page.

Free trial

14 days

up to 4 feeds

A card is taken at sign-up. Nothing is charged until day 15, and you can cancel any time before then.

No cameras where you need them? For events, we hire Vision Nodes and the crew to install them.Get an events quote.

Download this as a PDF· All brochures and sheets

Who It's For

Who Measures Their Stores

Festival and venue retail

Merchandise tents, bars and food outlets, measured across every event day.

Pop-ups and activations

Footfall and dwell for a short run, compared across locations.

Retail chains

The same measures in every store, for staffing, layout and campaign decisions.

Shopping centres and precincts

Centre and mall entries, plus occupancy for the common areas.

Privacy

Video Stays on Your PC. Only the Numbers Leave.

CrowdSense Desktop analyses the video on the Windows PC it is installed on. What reaches the portal is text: a line was crossed, a zone filled, a queue grew. No video and no images are uploaded, and nothing sent can identify a person.

The software detects people and vehicles so it can count them; it does not identify anyone. No facial recognition, no biometric identification of people. Ever. Your cameras, your recordings and your footage stay on your site, under your control.

FAQ

Retail analytics, Answered

How is conversion measured?

A line on the footpath counts passers-by and a line at the door counts entries. The portal compares the two for the conversion from street to store.

Can it use my existing security cameras?

Usually, yes. Any IP camera that streams over RTSP works, as long as people are large enough in the frame and the view covers the door or area.

Can I compare stores?

Yes. Every site reports to the same portal, with multi-site dashboards and unlimited users with roles.

Does it estimate shopper age and gender?

Only if you choose the AI faces profile on a camera with a face-on view. It sends counts by estimated band and never identifies anyone.

Face, gender and age detection

Can I get the data into our BI tools?

Yes, through the REST API and webhooks.

Video analytics API & webhooks

Try It Free on Your Own Cameras

14 days free on up to 4 feeds. Install on a Windows PC, add a camera, draw a line.

CrowdSense analytics dashboard