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Behaviour-Based Detection
QuantumEye analyses behaviour patterns across your existing CCTV system. It flags concealment, suspicious product interaction, and potential non-payment events by evaluating activity over time rather than a single moment.
Multi-Camera Tracking
When behaviour is flagged, the system tracks the individual across multiple cameras within the same store. This builds a clear movement timeline from aisle to till or exit.
Teams can review context without manually scrubbing through hours of footage.
View linked incidents
and history
When an individual is confirmed in an incident, QuantumEye links related events into a structured history view.
Teams can review previous incidents, timestamps, locations, and outcomes in one place, improving consistency and decision-making across stores.
Privacy & Compliance
Privacy-First Shoplifting Detection
QuantumEye’s shoplifting detection module is designed for legitimate retail security use. It operates under data minimisation principles, requires human confirmation before escalation, and supports structured governance controls.
Behaviour detection is focused strictly on security-related incidents and does not build broad behavioural profiling systems.
The platform helps retailers improve loss prevention while aligning with UK GDPR and enterprise security standards.
GDPR & Data Governance
Designed around privacy by design, accountability, and controlled incident management.
Data Protection Controls
✅ Data minimisation by default
✅ Only confirmed security incidents are retained
✅ Human confirmation before escalation
✅ Configurable retention and deletion policies
✅ Full audit trail of review decisions
Security & Certification
Enterprise-grade security standards supporting regulated retail deployments.
Information Security Standards
✅ ISO 27001 – Information Security Management
✅ ISO 9001 – Quality Management Systems
✅ Role-based access control
✅ Encrypted data storage and transmission
✅ Secure cloud infrastructure environment
Automatically Build a Complete Incident Record
When a shoplifting incident is confirmed, QuantumEye automatically builds a structured incident record. It links the captured video clip, face images, movement timeline, and any previous related incidents involving the same individual into one clear view.
Teams can record what was taken, including item type and estimated value, creating a documented loss record. If escalation is required, a structured report with linked history and supporting evidence can be prepared directly from the platform.
Full audit trail and
access control
Every action within an incident from creation to review, confirmation, reporting, or amendment is recorded in a structured audit log.
Role-based access controls define who can view, edit, confirm, or export incidents. This supports accountability and enterprise governance requirements.
Add notes and
operational comments
Staff can add internal notes to each event, recording observations, decisions, or follow-up actions.
This supports collaboration between store teams, security staff, and operations managers without relying on external communication tools.
Overview
How QuantumEye Detects Shoplifting in Real Stores
QuantumEye detects shoplifting by analysing behaviour patterns across your existing CCTV system. It flags concealment, suspicious product handling, and potential non-payment events, tracking individuals across multiple cameras within the same store to provide context before confirmation.
Privacy is built in. Faces of unrelated customers are blurred during reporting, only confirmed incidents are retained, and structured reporting tools help prepare evidence when escalation to police is required.
Frequently asked questions
Got questions about QuantumEye face recognition module?
We’ve got answers.
QuantumEye analyses behaviour patterns captured by your existing CCTV cameras. Instead of relying on a single moment, the system looks for sequences of actions commonly associated with theft, such as concealment, repeated shelf interaction, and potential non-payment. Suspicious events are flagged for staff to review in real time.
No. QuantumEye is designed to work with most existing CCTV systems used in retail environments. The platform connects to your current camera infrastructure and analyses video streams to detect suspicious behaviour.
Yes. QuantumEye monitors activity continuously and can flag suspicious behaviour as it happens. This allows store teams to review incidents quickly and intervene when necessary.
No. QuantumEye only flags suspicious activity for review. A human operator or store manager always confirms whether an event should be marked as a real incident or a false positive.
QuantumEye is designed with privacy-by-design principles. Data minimisation, configurable retention policies, and role-based access controls help retailers operate the system in line with GDPR requirements.
Suggested matches can be reviewed in the QuantumEye web dashboard, through the native QuantumEye mobile app, or via secure alert notifications.
For operational use, the native QuantumEye mobile app is recommended, as it provides the fastest and most structured review workflow, including side-by-side image comparison, incident context, and confirmation controls.
The same human review requirement applies across all access points.