Facial Recognition for Access Control and Time & Attendance Systems

TOPICS COVERED

Synthetic Data Training: Solving the GDPR Compliance Gap
NPU Performance: Ethos-U65 vs. i.MX 8M Plus Benchmarks
Presentation Attack Detection (PAD): Defending Against Spoofing
Edge Deployment: Optimizing Neural Networks for Embedded Hardware

Embedded facial recognition with NXP i.MX 93 delivers fast, secure access control using synthetic data and PAD.

Move beyond easily forgotten keys and access codes with a biometric system designed for the modern regulatory landscape. This solution tackles the “privacy problem” by using synthetic datasets—computer-generated faces that mimic real-world diversity without compromising individual privacy or violating data protection laws. Powered by the Ethos U65 NPU, the system delivers lightning-fast recognition and advanced deception detection. Whether verifying identity at a high-security portal or managing employee clock-ins, this technology ensures only authorized individuals gain entry while maintaining a robust defense against spoofing attempts using photos, videos, or masks.

Key Takeaways:

Synthetic data training
Fast i.MX 93 inference
Built‑in spoof detection

Thank You For Your Interest

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