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// MEASURING SPACE
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SpaceVision spatial analysis
Physical AI for offline spaces

See what drives performance in your space,
through customer behavior

Measure visits, attention, movement, and dwell. Video is processed on-site.

Actual demonstration footage of the system measuring in real time.

PASS1,284
GLANCE38.2%
ATTENTION3.4s
STAGES6
COEXLotteRochePayQGovernment of KoreaValue PointWellnessO-KIMegatekSeumTechMinorasu
From data to decision

Find what makes top stores work and turn it into sales growth

  1. 01

    Compare store performance

    Compare visits, attention, entry, and dwell under the same definitions.

  2. 02

    Find growth opportunities

    See which stores and zones can generate a stronger shopper response.

  3. 03

    Confirm performance gains

    See whether changes to layouts, content, or paths improved customer behavior.

PHYSICAL AI

AI learned to read clicks and conversions
Now it reads gaze and dwell

Online AI
Online, AI measures clicks and conversions
TextImagesClicksConversions
Physical AI
In stores, AI measures footfall and dwell

Measure traffic, attention, journeys, and dwell to create data from what happens in physical space.

FootfallAttentionJourneysDwellAudienceConversion
Trust & Privacy

Video is processed in real time
and never stored

Anonymous measurement that remainsThe original scene the camera sees
WHAT THE CAMERA SEES

Drag the boundary to see what stays and what leaves

Raw footage is analyzed inside the on-site processing device and never stored.
Each deployment is configured to the applicable regulations and the customer's security and privacy policies.

Original video processed on-siteNo biometric templatesNo identity recognitionConfigured to local and internal policy
System
The Platform

Camera footage is analyzed on a device inside the store. Only de-identified, aggregated data leaves the store and appears on the dashboard.

IN-STORE · ON-DEVICE
CAMERA FEED
Camera feed
Your existing CCTV or IP cameras
AI BOX
AI Box
On-site processing · no original video stored
DETECTION
Detection
Anonymous detection · no identities
Configured data only
CLOUD
EVENT RECORDS
zone_A · dwell 8s · gaze screenzone_B · pass · glance 0.4sentrance · enter · age 30s
De-identified event and aggregate records
DASHBOARD
Dashboard
A dashboard of results only

Tell us what you want to understand about your space. We will suggest the right metrics and a practical way to start.

Attention Funnel

From passerby to customer,
six measurable stages

Attention narrows one stage at a time. Each stage is calculated from the people included in the one before it.

Sample data · illustrative
  1. Pass —
    STAGE 01
    Pass
    1,284100%
    Traffic baseline

    Compare potential traffic by site and store.

  2. Glance —
    STAGE 02
    Glance
    49138%
    From previous stage 38%

    Evaluate the first look at signage and promotions.

  3. Attention —
    STAGE 03
    Attention
    21417%
    From previous stage 44.7%

    Compare the interest created by content and displays.

  4. Entrance —
    STAGE 04
    Entrance
    1219.4%
    From previous stage 55.3%

    Measure how storefront and zone design affect entry.

  5. Dwell —
    STAGE 05
    Dwell
    886.9%
    From previous stage 73.4%

    Judge engagement depth in displays and experience zones.

  6. Engage —
    STAGE 06
    Engage
    292.3%
    From previous stage 33.3%

    Decide which setup creates deeper observable engagement.

Products

What you measure
decides the product

Measure digital signage, the storefront, or the full store.

Visualization

Measurement, visualized

Explore how spatial measurement results are presented in the dashboard.

Proof

Proven in the field, worldwide

From major retail chains to global exhibitions.

17 Brands we work with10 Countries32M Daily impressions
O-KI pop-upCASE_01 · O-KI POP-UP
Visitor lift
+69%
Revenue up +83% at the same time
O-KI pop-up store · retail media campaign
RocheCASE_02 · ROCHE · 10 COUNTRIES
Global exhibitions
10+
countries · 6 global exhibitions · 83% data utilization (+12%)
Roche · multi-country healthcare conference tour

Results differ by store. Start by checking what data you can see in yours.

Before you pilot

FAQ

The right setup and measurement baseline vary by site. We verify the conditions before the pilot and validate them under one standard.

Can every existing camera be used?

It depends on resolution, angle, frame rate and network access. We assess existing IP cameras first, then add SpaceVision Slim Cameras or IP Cameras where the measurement goal requires them.

Can stores be compared when their camera environments differ?

We standardize the KPI and measurement zones first, then account for field of view and data quality by site. The pilot validates whether the same baseline holds before rollout.

Do crowding, lighting and store layout affect measurement?

They can. Before installation, we check occlusion, lighting, camera height and angle, and document the measurable range and limitations as part of the pilot deliverables.

Can it connect to POS and BI data?

Yes. Depending on scope, behavior metrics can be joined with sales, campaign and store-operations data to compare changes. The integration approach is agreed during pilot design.

Start measuring

See what your stores have been missing