RETAIL

AI Vision for
Retail & Malls

Footfall, queues and dwell heatmaps that turn every store camera into a customer-insight sensor.

6live use cases
24/7AI monitoring
<2salert latency
LIVEFALLQUEUEINTRUSIONPERSON
SafetyPeopleSecurityOperations
How it works here

From your cameras to action.

Camera

Understand

Detect

Alert

Act

Retail & Malls features

Built for Retail & Malls, feature by feature.

Each capability below runs on compatible existing cameras — final feasibility confirmed during a site POC.

FALL DETECTED
SAFETY INTELLIGENCE

Fall & Person-Down Detection

A fall on a Retail & Malls site needs a fast response. DeepObserve detects potential fall or person-down events in monitored areas and raises an immediate alert, so help reaches the person sooner and every incident is logged.

  • In practice: Footfall, occupancy, entrance/exit counts & zone traffic
  • Delivered as a real-time alert with snapshot evidence and a searchable event log
QUEUE 4
PEOPLE INTELLIGENCE

Queue & Wait-Time Analytics

Long waits cost Retail & Malls operators both throughput and goodwill. DeepObserve measures queue length and waiting time in real time and alerts your team the moment a line builds, so you can open a counter or redirect staff before it becomes a problem.

  • In practice: Queue length & checkout waiting analytics
  • Delivered as a real-time alert with snapshot evidence and a searchable event log
PERIMETERINTRUSION
SECURITY INTELLIGENCE

Perimeter Intrusion Detection

Secure the boundary of your Retail & Malls facility around the clock. DeepObserve draws virtual tripwires along perimeters and restricted lines and raises a direction-aware alert the instant someone crosses — with heightened sensitivity after hours.

  • In practice: Restricted-area & after-hours intrusion monitoring
  • Delivered as a real-time alert with snapshot evidence and a searchable event log
PERSONCOUNT 5
PEOPLE INTELLIGENCE

People Counting & Occupancy

Understand exactly how people move through your Retail & Malls spaces. DeepObserve counts entries and exits and tracks live occupancy per zone, so you can manage capacity, staffing and safety limits with real numbers instead of guesswork.

  • In practice: Customer-flow heatmaps & dwell analytics, privacy-aware
  • Delivered as a real-time alert with snapshot evidence and a searchable event log
FORKLIFT
OPERATIONS INTELLIGENCE

Loading & Dock Monitoring

Make loading and dispatch visible across your Retail & Malls yard. DeepObserve monitors loading and unloading activity, dock and bay utilisation and forklift movement — helping you cut dwell time and keep vehicles turning around faster.

  • In practice: Loading-bay, stock-room & back-office movement monitoring
  • Delivered as a real-time alert with snapshot evidence and a searchable event log
FIRE / SMOKE
SAFETY INTELLIGENCE

Fire & Smoke Detection

Add an extra layer of early warning across your Retail & Malls facility. DeepObserve provides visual fire and smoke detection that complements your certified alarms — flagging visible smoke or flame in monitored areas and alerting your team instantly.

  • In practice: Parking/vehicle analytics & fire/smoke alerts
  • Delivered as a real-time alert with snapshot evidence and a searchable event log
Integrations

Connected to your systems.

Cameras
Any source
DeepObserve AI
Detect · route
Your Stack
POS · ERP · Notifications
POSERPNotificationsBMS
Queue building Ops notified
Intrusion Security alert
Occupancy high Ops notified
Loading complete Dispatch logged
Outcomes

What good looks like.

Illustrative targets — actual results are validated at your site during the POC.

24/7
AI monitoring
<2s
Alert latency
0
Use cases live
98.7%
Camera uptime
Deployment

Deploy your way.

EDGE AI

Edge

Process video near the camera for low latency and minimal bandwidth.

ON-PREMISE

On-Premise

Keep all AI processing and video fully inside your organisation.

CLOUD / HYBRID

Cloud & Hybrid

Centralise monitoring across multiple facilities and regions.

Start with a focused POC

Bring AI vision to your retail & malls.
Start with 5–15 cameras.

Pick your highest-value use cases, we baseline your footage and KPIs, run ~30–45 days, then scale by site and camera group.