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The ST-AI21 combines facial recognition and fingerprint detection — storing up to 5000 fingerprints — and leans on AI for fast, accurate recognition at the door. It runs two neural-network models (face detection and face recognition) on a TensorFlow-based design, with a high-speed processor keeping reads quick.
If face recognition ever struggles, a password gets the user in, and a magnetic card is supported as another way to log attendance and departures. It operates over TCP/IP and works on Wi-Fi networks — a modern, flexible fit for attendance and access control.
| Feature | Details |
|---|---|
| Fingerprint & Face Recognition | Supports facial recognition and fingerprint detection for up to 5000 fingerprints |
| Processing Models | Uses two neural network models: face detection model and face recognition model |
| Device Construction Model | Based on Google’s open-source TensorFlow machine learning model |
| Data Processing System | Utilizes the high-performance, low-cost GStreamer system for processing images, audio, and video |
| Video Decomposition & Component Recognition | Powered by the well-known Waylandsink system |
| Component & System Connection | Uses the appsink system for seamless connectivity between components and systems |
| Graphical Interface System | Based on the GtkWidgets system for UI creation and display |
| Password Entry Support | Allows password entry if facial recognition encounters an issue |
| TCP/IP Protocol | Operates over the TCP/IP internet protocol |
| Magnetic Card Support | Supports magnetic card entry as an alternative to facial recognition or password for attendance and departure logging |
| Wi-Fi Connectivity | Compatible with Wi-Fi networks |
| Advanced AI Technology | Utilizes advanced AI technology for highly efficient and fast facial recognition, making it ideal for modern security solutions |
| Fast & Accurate Processing | Ensures quick and precise user data reading thanks to its high-speed central processing unit powered by AI |
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