Shoplifters return.
Visitor numbers stay a guess.
Don't let this go on.
Make your property the most innovative and the safest retail space around
Join the expert session to get the practical methodology.
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The cameras are recording. The problems keep happening anyway.
Most centres already have the infrastructure — but the day-to-day pain is still here.
The same offenders come back
Two in three shoplifters walk out — and nothing stops them returning to the same stores.
The alarm rings, no one is caught
Panic-button alerts fire, but without recognition there is little to act on at the moment it matters.
You don't really know who shops here
Beam counters at the door tally staff, cleaners and every repeat entry — not real unique visitors.
Investigations take too long
Reconstructing a person's route means reviewing footage camera by camera, by hand.
Real South African statistics and the rules around them
Louis Kotze opens on home ground: real incident statistics from South African centres, two decades of local deployments, and how POPIA shapes a compliant rollout.
Incident data · South African centres
- The full incident data behind the SA cases
- POPIA considerations — implementing biometrics in line with the Act, not blanket compliance claims
Detection isn't prevention. A recognition layer makes your cameras remember.
Your CCTV sees the same thief walk in — and does nothing, because it doesn't remember them.
A recognition layer on top of the cameras you already own is the last mile: it remembers faces, alerts security before the next theft, and creates a safer space for tenants and shoppers.
+ The same layer reveals the structure of your visitor flow: unique visitors, gender and age breakdown.
How malls increase revenue with their data
Kristina Evstigneeva — mall analytics expert with 15+ years in shopping centre management — shares real, anonymised cases from leading malls across the Middle East and Southeast Asia: what they measure, and how it moves revenue.
- Turning footfall into revenue — real cases of visitor data driving event ROI
- Data as a negotiation tool — using traffic and dwell-time numbers to win better lease terms
- Prevention over reaction — spotting underperforming tenants before they hit the bottom line
See what your cameras could be doing for your shopping centre
Four scenarios in which the cameras you already own can do more — shown through the work each one does, not a product walk-through.
Prevent repeat incidents
How a known-offender list (watchlist) can help teams recognise a returning person at the entrance and respond before another incident.
Investigate events faster
Instead of trawling through hours of footage by hand, reconstruct a person's route across cameras — live or deep in the archive: where they went, when, and on which camera.
Count unique visitors
Separate real unique visitors from a basic entrance count that also tallies staff, cleaners and anyone who walks back in — plus demographics by day and hour.
Support operational scenarios
Possible scenarios around employee access, contractor access and workforce attendance by face rather than keycards.
Explored as practical scenarios, grounded in what centres are running today.
One shared database across all your malls
A person caught stealing in one centre is recognised at the entrance of another. Know who has stolen at partner locations — one watchlist, cross-checked across every site in the group.
The jobs one camera network does, from operators worldwide
Eugenia Marina has implemented recognition solutions at some of the world's most demanding sites — dozens of large-scale projects:
- Entrance alerts on known offenders
- Route reconstruction across cameras — live and in the archive
- Tenant-submitted faces & one shared database across malls
- Unique-visitor analytics and staff/contractor access
Turn camera infrastructure into practical business value.
From incident prevention to visitor intelligence and everyday operational scenarios — using the cameras that are already installed.
One camera network. Multiple application scenarios.
The same network behaves differently across the centre — configured for the job each zone needs to do. Only confirmed scenarios are shown.
Known-offender detection
A stop-list alert at the entrance, before another incident.
Faster investigations
Reconstruct a person's route across cameras in minutes.
Tenant-submitted faces
A tenant shares an image; the centre supports the investigation.
Unique-visitor analytics
Real unique visitors and repeat visits, beyond entrance counts.
Staff & contractor access
Access and attendance scenarios by face, not keycards.
A live walkthrough of the system running these scenarios
Mohammed Bajarsh has more than 50 implementations behind him — from border control to large-scale transport and infrastructure projects for clients such as Etihad, delivered alongside the leading names in the security market. He shows the system live, on the exact scenarios above — fast, hands-on and open to your questions.
The system in action, live on the session
Come for the question your role needs answered.
Security is outsourced in most South African malls — the decision sits with centre management. So that's who this session was built for first. Here's the value for each role.
Shopping centre managers & operations directors
You answer for both safety and the P&L — and the decision to deploy sits with you.
- One camera network for security and visitor intelligence
- The incident-to-arrest gap closed at the entrance
- What a compliant rollout looks like in practice
Marketing & leasing directors
Prove the traffic you sell and make the centre more attractive to tenants.
- Real unique visitors vs raw footfall
- Repeat-visit and demographic patterns
- Data for leasing conversations and tenant appeal
Security & loss-prevention leaders
Catch returning offenders earlier and cut investigation time.
- Entrance watchlist alerts on known offenders
- Route-based investigations in minutes
- Coordination with tenants who report faces
Retail chains & multi-site operators
Apply the same scenarios consistently across every branch.
- Repeat-offender detection across locations
- Staff & contractor access scenarios
- One database, one way of working
A focused 60-minute expert session
Opening and audience poll
South African retail data, implementation cases and POPIA
Global retail analytics practices
Practical camera intelligence scenarios
Live system demonstration
Panel Q&A: ask live
Register and you'll also walk away with three things
🎁 Free with registrationUse-case map of facial biometrics
- Where recognition works across a mall — zone by zone
- Entrance, public areas, tenant stores, staff doors
- Sent to every registered attendee
✅ Live during the sessionProperty readiness checklist
- A quick self-audit of your current setup
- Score how ready your property is for these scenarios
- Get a recommendation matched to your answers
💬 Live Q&AAsk your questions live
- Put your questions to the full panel on air
- Integration, timelines, local implementation
- Answered by the people who deploy this in SA