From Reactive to Proactive Loss Prevention
Real-Time Shoplifting Detection
Move beyond passive recording and reactive response to proactive, AI-powered detection that recognizes suspicious behavior in real time, alerts your team instantly, and automatically creates an irrefutable video evidence trail for prosecution. Our AI understands both actions and intent, tracking suspects seamlessly from aisle to exit to parking lot — protecting margins while reducing labor costs, response time, and human error.
An end-to-end AI pipeline that automates detection, reduces the need for constant manual monitoring, and accelerates response to high-risk events — powered by advanced computer vision, cutting-edge AI action recognition, person re-identification, and cross-camera identity tracking.
From Passive Recording to Proactive Protection — AI That Acts Before Loss Occurs.
Solution Capabilities
Dual-Stream AI Detection
Spatial and temporal AI fusion achieving 90% accuracy — distinguishing concealment from normal shopping with both posture and motion analysis.
Intelligent Zone-Based Triggers
Configurable virtual tripwires with adjustable sensitivity — elevated in high-value areas, reduced during restocking, disabled at checkout lanes.
Real-Time Alert & Human Review
Instant Scout app alerts with suspect description, location, and live video stream — with human confirmation workflow before further action.
Evidentiary Package & Suspect Tracking
Automated timestamped video packages for prosecution, cross-camera suspect tracking from entry to parking lot, and license plate capture.
Dual-Stream AI Detection
Our shoplifting detection engine uses a dual-stream AI architecture that analyzes both spatial features — such as body posture, object interaction, and scene context — and temporal patterns, including motion sequences and the duration of suspicious actions, to identify behavior indicative of theft. By fusing both modalities, the system achieves 90% prediction accuracy.
Spatial Stream
- ▸Body posture analysis
- ▸Object interaction detection
- ▸Scene context understanding
Temporal Stream
- ▸Motion sequence modeling
- ▸Action duration tracking
- ▸Behavioral pattern recognition
Dual-Stream Detection Model
Architecture diagram: spatial feature extraction branch and temporal motion branch merging into a fusion layer with 90% accuracy output
Zone Trigger Configuration
Store floor plan with virtual tripwires overlaid — high-sensitivity zones in red, reduced zones in amber, disabled zones in grey
Intelligent Zone-Based Triggers
MindGlyph Intelligent Zone-Based Triggers empowers retailers to configure virtual tripwires with adjustable sensitivity — elevated in high-value or theft-prone areas, lowered during predictable employee restocking or merchandising resets, and fully disabled in zones like checkout lanes — to minimize false positives while strengthening targeted theft prevention.
High Sensitivity
High-value or theft-prone areas
Reduced Sensitivity
Restocking or merchandising reset periods
Disabled
Checkout lanes and low-risk zones
End-to-End Detection Pipeline
Dual-stream AI → zone trigger evaluation → real-time Scout alert → human review → confirmed theft → evidentiary package → cross-camera suspect tracking → license plate capture
Real-Time Alert & Human Review
When the system detects likely shoplifting, it immediately triggers a response chain designed to minimize both loss and false action.
Scout App Alert
Real-time alarm to store employees via the Scout app, providing the suspect’s race, age, gender, precise location, and a detailed description of their clothing, accessories, and other attributes.
Secure Video Streaming
Instant secure video stream so supervisors can review events in real time without leaving their post.
Human Review Workflow
Alerts can be dismissed as false positives or confirmed as active theft — triggering further automated actions only upon human confirmation.
Scout App — Live Alert View
Scout app screen showing suspect alert with description, location pin on store map, live video feed thumbnail, and Confirm/Dismiss action buttons
Cross-Camera Tracking & Evidence Package
Timeline view of suspect path across store and parking lot cameras, timestamped video clips, license plate capture, and packaged evidence export
Evidentiary Package & Suspect Tracking
For confirmed incidents, the system automatically generates a complete evidentiary package and maintains continuous suspect tracking across every camera.
Evidentiary Package Generation
Timestamped video and metadata preserved for downstream law enforcement processing. Time-synced movement paths across store and parking lot cameras enable reliable reconstruction of events, creating a clear causal chain that strengthens legal admissibility.
End-to-End Suspect Tracking
Continuous tracking from store entry through aisles and checkout, all the way to the exit — using person re-identification and cross-camera identity tracking to maintain a seamless chain of custody.
License Plate & Vehicle Fingerprinting
If the suspect flees to a getaway vehicle, the system captures license plate data and vehicle fingerprinting — make, model, color, and year — from parking lot cameras.