Stop Shoplifting with Real-Time Pose Intelligence
Detect reach-and-conceal motions, shelf-sweeping, and bag-stashing instantly on your existing CCTV network. Powered by local edge YOLO11-Pose estimation with 100% biometric privacy and zero cloud latency.
The Multi-Billion Dollar Blindspot
Traditional store security systems passively record footage for insurance forensics instead of proactively preventing inventory loss before suspects exit.
Silent Concealment
Perpetrators slip high-margin cosmetics, pharmaceuticals, or electronics into jackets and waistbands in seconds, evading traditional EAS door tags.
Operator Screen Fatigue
Security guards monitoring 30+ live camera tiles miss subtle pocketing gestures. Theft is usually discovered days later during inventory stock audits.
Biometric Privacy Laws
Facial recognition tech triggers massive regulatory scrutiny and GDPR/CCPA fines. Retailers need behavioral AI that protects customer civil privacy.
How It Works Under the Hood
Real-time video analytics use state-of-the-art YOLO11-Pose models to analyze skeletal kinematics and reach-and-conceal vectors without facial identification.
RTSP Stream Ingestion
Connects directly to existing store NVRs and ceiling IP cameras via low-latency RTSP protocols with zero hardware replacement needed.
YOLO11-Pose Kinematics
Tracks 17 skeletal joint coordinates across subjects, computing scale-invariant torso normalization and hand-to-pocket vector velocities.
Temporal Review Console
3-stage security state machine triggers real-time alerts with cropped incident evidence snapshots dispatched directly to store security panels.
Want to Test Concealment AI on Your Store CCTV Footage?
Send us a sample 60-second store clip and our vision team will return a complete biomechanical detection and evidence telemetry report.
Securing High-Risk Retail Zones
Deploy targeted behavioral intelligence across aisles, apparel racks, and point-of-sale registers.
High-Shrink Aisles
Identify rapid reach-and-pocket motions in cosmetics, liquor, baby formula, and small consumer electronics aisles.
Coat Slips & Bag Stashing
Differentiate between legitimate shoppers examining goods and deliberate concealment into bags or jackets.
Self-Checkout Compliance
Detect barcode pass-around, unscanned basket items, and ticket-switching at automated checkout kiosks.
Restricted Red Zones
Set up polygonal spatial zones around cash registers and employee stockrooms to alert guards during unauthorized incursions.
Actionable Alerts Your Store Team Can Use Immediately
Instead of burying your security team in hours of recorded footage, the system highlights active concealment moments—giving floor staff the exact aisle and snapshot needed to prevent loss peacefully before the shopper reaches the exit.
- Instant Aisle Notifications: Alerts security desks or staff mobile tablets in under 1 second.
- Ready-to-Review Incident Clips: Automatically attaches a 5-second visual clip of the pocketing or bag-stashing gesture.
- Zero Privacy Liability: Evaluates body movement only—never scans or stores shopper faces.
Frequently Asked Questions
Common questions on YOLO11-Pose kinematics, RTSP store camera compatibility, false-alarm suppression, and shopper privacy compliance.
Want to benchmark your aisle cameras?
Send a 60-second store camera clip to our vision team for a complete pose kinematics evaluation.
Ask a Computer Vision ArchitectStop Inventory Shrinkage. Safeguard Your Store.
Turn your passive CCTV cameras into an active loss prevention intelligence system with 100% local privacy.
Book a Retail Loss Prevention AI Scoping Call
Benchmark YOLO11-Pose concealment detection on your store CCTV feeds, calculate local edge GPU requirements, and review VMS webhook integration.
You're on Our Calendar!
We have registered your session. A calendar invite (.ics) and meeting details have been emailed to .
20 Mins • Google Meet / Conference