By the Numbers
Face Detection Accuracy
Recognition Speed
Active Enrollments
False Acceptance Rate
How It Works
We capture reference face images for all authorized individuals and generate their embedding vectors. The face database is securely stored with encryption and access controls.
YOLOv8n-face and MobileFaceNet models are quantized and optimized for your target hardware. TFLite conversion ensures maximum performance on mobile devices and edge cameras.
The recognition system is integrated with your attendance software, access control hardware, or mobile app. APIs connect face events to your existing business workflows.
Recognition thresholds are calibrated to balance security and usability. Ongoing monitoring tracks false acceptance and rejection rates, with periodic model updates for new enrollees.
Real-time face detection optimized for speed and accuracy using YOLOv8 nano architecture. Handles multiple faces simultaneously with bounding box precision even in challenging lighting.
Compact yet powerful face embeddings that encode identity into numerical vectors. MobileFaceNet delivers recognition accuracy rivaling larger models while running efficiently on mobile devices.
Models run locally on the device via TensorFlow Lite, ensuring zero-latency recognition without internet dependency. Biometric data never leaves the device, enhancing privacy and speed.
Automated check-in/check-out via face recognition replaces manual sign-in sheets. Timestamps, photos, and confidence scores are logged for every attendance event.
Secure facility access using face verification at entry points. Authorized personnel are recognized in real time, while unregistered faces trigger alerts and are denied entry.
Liveness detection prevents spoofing with printed photos or screen displays. Multiple verification checks ensure only real, present individuals pass the recognition pipeline.
Use Cases
Employees check in by simply looking at a tablet mounted at the entrance. The system logs their arrival time, eliminates buddy punching, and feeds data directly into payroll.
A corporate office uses facial recognition at restricted areas instead of keycards. Only authorized personnel gain access, with every entry and denied attempt logged for security audit.
A childcare center verifies the identity of adults picking up children using face recognition. Only pre-registered guardians are allowed to complete the pickup, adding an extra layer of safety.
Employees check in by simply looking at a tablet mounted at the entrance. The system logs their arrival time, eliminates buddy punching, and feeds data directly into payroll.
A corporate office uses facial recognition at restricted areas instead of keycards. Only authorized personnel gain access, with every entry and denied attempt logged for security audit.
A childcare center verifies the identity of adults picking up children using face recognition. Only pre-registered guardians are allowed to complete the pickup, adding an extra layer of safety.
Technology Stack
Let's discuss how this solution fits your business.