Tailgating & Piggybacking Detection
Catch unauthorized entries that badge systems miss — one badge, one person, verified visually in real time.
What is Tailgating Detection?
Tailgating detection is AI access-control monitoring that catches unauthorized entries badge systems miss. When one badge scan is followed by more than one person through a door or turnstile, Argos counts people per authorized entry and alerts with video evidence. It needs no facial recognition, works with existing cameras and access hardware, and processes locally at the edge.
The Problem
Your badge system counts badges, not people
53% of physical security breaches involve unauthorized access through controlled doors. Badge readers register one scan while several people walk through — and social pressure makes employees reluctant to challenge strangers.
How Argos Detects It
Person Counting
The AI counts distinct individuals passing through each access point using body detection — independent of the badge system.
Badge Correlation
Entry counts are correlated with badge scans. Two people on one scan triggers an immediate tailgating alert with video evidence.
Door-State Awareness
Propped doors, forced entries, and doors held open beyond threshold times are detected and escalated separately.
Key Metrics
Applicable Sectors
Frequently Asked Questions
How is tailgating detected without facial recognition?
Argos counts bodies, not faces. When more individuals pass through a door than badges were scanned, the mismatch itself is the alert trigger — no biometric identification is involved at any point.
Does it work with our existing access control system?
Yes. Argos runs alongside badge, card, PIN, and biometric systems from any vendor. It adds the visual verification layer those systems lack, using your existing door cameras.
What about deliveries and visitor groups?
Escorted-visitor and delivery scenarios are configurable: reception can pre-authorize a group entry window, or alerts can route to a monitoring queue for one-click validation instead of an alarm.
Related Use Cases
See It on Your Own Cameras
Request a demo and test detection on your existing infrastructure.