Back to the blogExplainable AI and Interpretable ML in Biometric Video Intelligence
Akos Molnar
Latest Posts
Appearance Search vs Biometric Identification: What Is the Difference?
Learn how appearance-based video search differs from biometric identification and how Kinerva combines Appearance Search with gait and body analysis.
How Accurate Is Gait Recognition?
Explore what gait recognition research suggests about movement-based identification, and why those findings matter for biometric video intelligence.
What You Need to Know About FRR and FAR
A practical guide to false rejection rate, false acceptance rate, and why serious biometric evaluation depends on more than a single performance number.
Detecting Tailgating and Piggybacking with Gait Intelligence
Kinerva helps detect tailgating and piggybacking by applying Gait Intelligence to existing overhead security cameras. By analyzing stride rhythm, cadence, center-of-mass movement, and joint dynamics, the system can distinguish between a single authorized user and multiple people passing through together. This enables real-time alerts when the number of detected gait profiles does not match the number of valid badge events, helping security teams identify access fraud before unauthorized individuals move deeper into the facility.