Eliminate Buddy Punching with Sub-Second AI Facial Recognition & 3D Liveness Detection
Turn standard tablets and smartphones into high-precision biometric attendance terminals. With 3D anti-spoof liveness detection and offline neural net processing, staff clock in within 400 milliseconds.
AI Face Attendance & On-Device Biometric Kiosks & Bento System
Liveness Detection, Sub-Second Matching & Fraud-Proof Clock-Ins
Biometric Turnstile, GPS Geofence & Liveness Radar
Direct cloud listener syncing raw punch logs from turnstiles, biometric gates, and GPS geofences in sub-seconds.
Sub-Second On-Device Face Matching
Recognize and verify staff in under 0.4 seconds even in low light, with glasses, masks, or head coverings.
3D Anti-Spoof Liveness Detection
Advanced neural networks detect depth, micro-expressions, and eye blinks, completely preventing photo or video spoofing.
Offline Kiosk Mode Support
Tablets process facial embeddings locally on-device without internet, automatically syncing timestamps when reconnected.
Touchless & Hygienic Clock-In
Zero physical contact required, ideal for cleanrooms, hospitals, restaurants, and factory floor environments.
How Kirxa Solves Common Pain Points
Employees shared biometric cards or punched on behalf of absent colleagues (buddy punching).
Facial recognition with live anti-spoof verification guarantees the actual employee is physically present.
Hardware fingerprint scanners failed frequently for workers with worn fingerprints or dirty hands.
AI facial recognition works consistently regardless of dust, grease, or manual wear on worker fingers.
Frequently Asked Questions
Does Kirxa store actual photos or encrypted biometric vectors?
Kirxa converts facial geometry into one-way encrypted mathematical vectors (hashes). Actual facial photos are never stored as raw templates, preserving employee privacy.