How Face Detection Works
Faces are detected and verified in real-time using convolutional neural networks and cross-checking with databases.
Old School vs AI Face ID
See how facial recognition evolves with AI.
Manual Face Matching
- ✘ Time-consuming and slow
- ✘ Prone to bias and error
- ✘ No continuous monitoring
- ✘ Needs human validation
AI Face Detection
- ✔ Instant face recognition
- ✔ High-accuracy matches
- ✔ Continuous surveillance integration
- ✔ Scalable to multiple cameras
Next-Gen Facial Features
Unlock precision facial detection, recognition, and tracking in crowded or complex environments.
Customer Behavior Analytics
Understand in-store customer patterns using facial movement and gaze tracking.
- Dwell time analysis
- Emotion inference
- Demographic breakdown
Real-time Event Notifications
Get instant alerts on key facial detection events.
- Smart notification filters
- Custom event triggers
- Multi-channel alerts (SMS, Email)
Session Recording with Insights
Facial tracking logs integrated with recorded footage for audits.
- Facial timeline indexing
- Secure cloud storage
- Insight overlay on playback
Real-Time Accuracy
Track performance metrics that matter in surveillance and access control.
98.7%
Recognition Accuracy
200ms
Detection Latency
50M+
Faces Processed Monthly
99.2%
Spoof Detection Rate
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