Face Liveness & Attendance Software

The Binimise Face Liveness & Attendance Software is a standalone application designed for high-precision biometric verification, spoof prevention, and automated timesheets. It provides a complete, unified solution for employee template configuration, real-time check-in logging, and shift roster calculations in one single platform.

Administrators and managers access the unified dashboard to manage biometric profiles, monitor shift schedules, and view discrepancy reports, while personnel complete quick face check-ins directly on shared terminals or personal devices with instant local liveness analysis.

The standalone application helps corporate facilities, emergency operational units, high-security sites, and logistics operators to minimize time theft and buddy punching. It functions independently without external middleware, maintaining robust security verification and direct data control.

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99.7%
liveness accuracy
<300ms
detection speed
3
lines to integrate
Face Verification - Live Demo
LIVE

HOW IT WORKS

From camera to verified identity

A seamless 4-step pipeline that takes milliseconds.

01
Camera Opens

The SDK launches a full-screen liveness camera. No extra permissions needed beyond the standard camera permission.

02
Passive Check

Our TFLite model analyzes the face in real-time. The user just looks at the camera — no actions needed.

03
Face Embedding

A 512-byte FaceNet embedding is extracted — a unique mathematical fingerprint of the face.

04
Match & Decide

Compare against enrolled templates using cosine similarity. Score ≥ 0.65 is a strong match.

Camera
TFLite Model
LivenessResult
512-byte Template
Identity Verified

Platform Features

Everything you need to verify real users

Built for developers. Trusted by enterprises. Works offline.

Passive Liveness Detection

No blink, no turn, no smile required. Our neural network detects spoofing attacks silently from a single frame — photos, videos, 3D masks all blocked.

Photo Attack Video Replay 3D Mask
Face Recognition

128-dimension FaceNet embeddings for high-accuracy 1:N matching. Compare faces in under 1ms in pure Dart.

On-Device Processing

All inference runs locally on the device. No images sent to any server. Full GDPR compliance out of the box.

License-Gated Security

Per-app-package-name licensing via Firebase Remote Config. Models are encrypted at rest, decrypted only for licensed apps.

Fast & Lightweight

Liveness check completes in under 300ms. TFLite models optimized for mobile — minimal battery and memory impact.

Unified Standalone Architecture

All-in-One Biometric Platform—No External Dependencies

Manage rosters and verify liveness within a single self-contained application. No complex API stitching or middleware required—one login covers everything from enrollment to payroll sheets.

Administration Hub

Central Management Hub

Configured inside a unified console: manage employee profiles, set liveness thresholds, design shift rules, view verification logs, and generate discrepancy reports.

  • Profile registration and policy control in one dashboard
  • Real-time verification log monitoring with failure screenshot audits
  • Automated roster logs synced directly to integrated timesheets
Verification Kiosk

Built-in Terminal Interface

Runs directly on dedicated tablets, shared kiosks, or personal staff devices. Performs rapid face matching and passive 3D liveness detection to block spoof attempts.

  • High-speed local check-ins utilizing secure face-matching models
  • Built-in offline buffering mode to queue logs during network drops
  • Automatic background synchronization once connection is established

System Configuration

Four Core Management Modules

The Face Liveness & Attendance Software gives administrators four focused modules that handle biometric data, compliance checks, timesheet automation, and audit trails.

Biometric Profiles

Register and manage employee face templates securely, verify template status, and maintain data privacy compliance using hashing.

Liveness Rules

Configure detection thresholds, setup spoof prevention policies (3D masks, video replay, photos), and establish verification safeguards.

Shift & Timesheets

Create custom shift rosters, configure overtime parameters, set late-entry grace periods, and generate automated timesheets for payroll.

Audits & Reports

Access centralized log records, monitor shift handoff verification rates, and export discrepancy reports for compliance and payroll checks.

USE CASES

Built for any app that needs identity verification

🏢
Attendance Systems

Employee check-in and check-out with face verification. Eliminate buddy punching.

🏛️
KYC & Onboarding

Verify users during app onboarding. Combine with ID documents for full KYC.

🔐
App Authentication

Replace PINs and passwords with face-based login. Fast and seamless UX.

🏫
Exam Proctoring

Verify student identity before and during online exams. Prevent impersonation.

🏥
Healthcare

Patient identity verification before accessing medical records or services.

🚪
Access Control

Grant or deny physical and digital access based on face verification.

WORKS SEAMLESSLY WITH

Flutter Android iOS
Android Native SDK

Standalone Android library

Coming Soon
iOS Native SDK

Standalone iOS framework

Coming Soon

FAQ

Liveness detection is an automated security method that determines whether a biometric sample matches a living person present at the terminal, blocking spoof attempts using photos, video replays, or 3D masks.

Unlike PINs, barcodes, or RFID cards, face biometrics are tied to the physical presence of the employee. Active and passive liveness checks ensure only the real person can log in, eliminating buddy punching.

No. The system analyzes the face template during check-in and translates key facial landmark positions into encrypted mathematical vectors. The original photos are discarded, maintaining maximum privacy security.

Yes. The terminal mobile app functions offline, checking and validating face scans locally against cached records. Once a cell or Wi-Fi network connection is re-established, the check-in queue is synced back to the web hub.