Live Biometric Telemetry

Automated attendance with facial recognition.

Deploy real-time facial verification to track student attendance instantly. Our platform handles edge processing, debugging, and enterprise-grade security for any campus or business.

99.9%Match Accuracy
< 0.5sVerification Time
EdgeDeployment Ready
facetrack // edge-node-01
System Online
Main Entrance
450 scans
Lecture Hall A
120 scans
Lab Wing B
85 scans
Admin Office
12 scans
Biometric Monitor

Unrecognized Subject

Timestamp: 09:15 AM – 09:16 AM (Today)

Pending
SourceEntrance Camera 01
DatabaseSecurity Database
Biometric mismatch detected.

System ready: Trigger manual verification or re-scan.

Latency: 12ms
Platform Benchmarks

Enterprise-grade reliability

FACETRACK delivers high-precision biometric verification and real-time telemetry for modern campus and business environments.

Verified
99.9%

Match Accuracy

Precision rate for facial recognition under varying lighting and campus conditions.

Based on 1M+ scans
Edge Speed
150ms

Verification Latency

Real-time edge processing speed for instant attendance logging at entry points.

Sub-second throughput
Scalability
50+ cams

Simultaneous Feeds

Capacity for concurrent RTSP stream analysis across multiple campus buildings.

Distributed compute
Efficiency
40%

Admin Time Saved

Reduction in manual roll-call overhead for faculty and administrative staff.

Versus manual logs

Real-time Observability

Monitor live attendance streams with instant alerts for unauthorized access or hardware drops.

Deployment Flexibility

Deploy on-premise or cloud-native infrastructure tailored to your specific security requirements.

Debugging & Analytics

Deep-dive into inference logs and system health metrics to ensure continuous uptime.

Deployment Ready

Deploy your attendance dashboard today

Get started with our enterprise-ready facial recognition platform for campus or business.

System Intelligence

Real-time biometric attendance tracking

Automate student roll-calls and business rosters with high-precision face recognition, anti-spoofing, and instant cloud-based reporting.

AI Inference
Face Recognition Engine
Advanced neural networks identify subjects in milliseconds with 99.9% accuracy under varying light.

Live Scan: Hall A

Latency: 12ms • Active

Data Export
Automated Reporting
Generate daily attendance summaries and shift logs automatically for your administrative dashboard.
Storage Usage4.2 GB / 500 GB
1,200 Logs Exported
Edge Sync
Multi-Site Deployment
Manage multiple campus gates or business entrances from a single, unified control dashboard.

Active Sensor Nodes

Edge Camera 01
Live Feed
Admin Console
Monitoring
Security Hub
Connected
Live Logs
Real-time Entry Alerts
Get instant notifications for unauthorized entries or specific personnel arrivals.
Recent Activity3 Active
John D.Entry Log • Gate A
Sarah K.Entry Log • Gate B
Mike R.Entry Log • Gate A

Ready to secure your facility?

Deploy our attendance solution today and streamline your operations with AI.

3-Phase Deployment

Implementation Flow

Deploy our facial recognition system with ease. From hardware setup to live telemetry, we ensure your attendance tracking is precise, secure, and fully automated.

Phase 01
Live Feed
Hardware & Sensor Setup
Install high-precision optical sensors at entry points. Configure RTSP streams and calibrate facial landmark mesh nodes for real-time biometric verification.
Sensor SyncOnline
Latency< 15ms
Mesh Nodes128 points
RTSP camera stream integration
Biometric landmark calibration
Edge server node provisioning
Phase 02
Live Feed
Subject Mesh Registration
Register student profiles into the secure database. Our system maps unique facial geometry to ensure sub-second recognition accuracy across all campus zones.
Subject QueueLive
08:00 AM
09:30 AM
11:00 AM
01:00 PM
Secure biometric data encryption
Multi-angle facial mesh mapping
Real-time subject verification
Phase 03
Live Feed
Live Attendance Telemetry
FACETRACK streams live attendance data to your dashboard. Receive instant alerts for unauthorized access or hardware dropouts with automated log debugging.

Access Verified

Attendance logged to server

Anomaly Detected

Hardware dropout alert

Live attendance stream analytics
Automated anomaly alert system
Instant hardware health reports

Ready to deploy FACETRACK?

Secure your campus or business with our advanced biometric attendance and monitoring solution.

Deployment Matrix

Compare deployment models

Choose the right infrastructure for your attendance needs, from cloud-based SaaS to on-premise edge servers.

Features

System Capabilities

Recommended
Professional

$299 / mo

Get Started
Deployment & Infrastructure
Attendance Data Capacity
100k records
Edge Camera Support
10 cameras
Offline Logging Buffer
7 days
Deployment Environment
Hybrid Cloud
Recognition & Accuracy
Real-time Face Detection
Advanced Liveness Check
Recognition Latency
< 200ms
Custom Recognition Models
Standard model
Auto-Alert Notifications
Reporting & Integration
Attendance Export Formats
CSV & PDF
Third-Party API Access
Dashboard Analytics
Advanced charts
Multi-Branch Management
Security & Support
Included Admin Seats
5 Seats
Role-Based Access
Standard roles
Data Retention Policy
1 Year
SSO Authentication
Dedicated Support
Email support

Need a custom deployment?

We provide on-site installation, debugging, and custom integration for large-scale campus or corporate facilities.

Biometric Telemetry

Automated attendance. Verified identity. Edge intelligence.

Deploy high-precision face recognition for student tracking and business operations. Monitor attendance in real-time with our scalable, debug-ready dashboard.

Attendance Dashboard
Secure Biometric Sync

Launch your attendance hub

Configure your camera feeds, manage student rosters, and monitor live attendance logs with our intuitive, high-performance management interface.

Rapid Setup
Plug & play sensors
AI Inference
Real-time recognition
Enterprise Supportv1.0 Stable

Deployment & Debugging

Need custom integration for your campus or business? Our team provides full-stack deployment, debugging, and maintenance support.

  • Automated lecture hall check-ins
  • Secure facility access management
  • Real-time attendance analytics
  • Enterprise-grade API integration
Priority technical support24/7 Access
Contact Engineering
99.9%
Recognition accuracy
Biometric verification rate
15ms
Inference latency
Real-time edge processing
500+
Concurrent streams
Scalable enterprise capacity