Binimise Biometric is an advanced edge-AI identity and cabin safety suite. It delivers high-precision offline face matching, spoof-proof 3D liveness checks, and real-time driver behavior monitoring directly on the edge for unmatched privacy, speed, and reliability.
1:N face matching engine compared in < 1ms offline on the edge.
3D passive spoof check blocks photos, video loops, and masks in < 300ms.
Real-time cabin edge AI triggers for drowsiness, distractions, and phone use.
Our 1:N face matching engine extracts 512-dimension vectors to map unique landmarks. Compares check-ins in under 1ms, eliminating buddy punching and ensuring clean, audit-ready rosters.
Passive 3D liveness analysis blocks spoof attacks (photo prints, video replays, or 3D masks) in under 300ms. Runs completely offline on the local device without requiring user actions.
Real-time cabin analysis for fleet logistics. Our AI models identify drowsiness, distraction, and unsafe behavior to prevent accidents and improve overall driver compliance.
Flexibility for any infrastructure setup. Execute all biometric calculations on-device 100% offline, or connect to a web server to upload real-time logs and synchronize driver safety status.
HOW IT WORKS
A unified edge-to-server data flow that completes in milliseconds.
The mobile SDK opens the camera feed. Captures high-frequency frames with standard device permissions.
TFLite neural network models analyze face liveness, facial landmark matching, and driver attention metrics on-device.
Extracts 512-dimension face vectors and generates real-time cabin alert ratings (Drowsiness, Phone Use, Distraction).
Verification and DMS logs sync live to AURA Web Dashboard. Supports offline buffering if connectivity drops.
Built for developers. Optimized for edge deployment. GDPR compliant.
Detects and blocks spoofing attempts silently from a single frame in under 300ms. Fully passive—no user blinking or turning required.
Calculates multiple cabin safety indexes. Triggers visual and audio alerts when threshold violations are exceeded.
All biometric template creation and driver safety inference runs locally. No media is sent to external servers, ensuring absolute user privacy.
Optimized edge models run efficiently on entry-level tablets and smartphones, causing minimal battery drainage or memory overload.
Secure remote license validation via Firebase Remote Config. On-device models are encrypted at rest and decrypted only on authorized application builds.
Unified Biometric Ecosystem
Manage rosters, analyze safety logs, and oversee verification streams from a unified cloud console, while client hardware takes care of high-speed edge processing.
The Binimise Biometric console gives administrators focused modules to control biometrics, safety compliance, rosters, and audit logs.
Securely manage face templates, verify enrollment status, and maintain user data compliance.
Configure face verification thresholds, set up spoof detection rules, and adjust driver drowsiness sensitivities.
Create shift rosters, configure late check-in parameters, and compile automated attendance timesheets.
Access historical verification logs, inspect driver distraction warnings, and export discrepancy compliance reports.
USE CASES
Install driver monitoring in cabins to detect drowsiness and prevent distraction accidents during long hauls.
Mark employee check-in and check-out via face recognition kiosks. Eliminate buddy-punching completely.
Authenticate remote users during registration. Combine passive liveness check with government IDs for secure KYC.
Secure critical apps. Swap static passwords and pin codes for fast, spoof-proof face biometric login.
Continually confirm student identities and watch for face direction/distraction during online exams.
Authenticate medical staff accessing restricted prescriptions, or verify patient files before care.
WORKS SEAMLESSLY WITH
Get Android client application for attendance & DMS monitoring
On-device client application for Apple devices