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STEM与日常科技·英语30篇（2）

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How Face Recognition Systems Authenticate Access at Secure Doors

How Face Recognition Systems Authenticate Access at Secure Doors

人脸识别在门禁中的流程

  1. When you approach a smart door, an infrared camera captures your face even in low-light or with glasses on.
  2. The system first detects facial landmarks like eyes, nose, and jawline using convolutional neural networks.
  3. It then converts those features into a unique numerical template—not a stored photo—to protect privacy.
  4. This template is compared instantly against encrypted templates previously registered in a secure database.
  5. If the match score exceeds a preset threshold, the door unlocks within half a second.
  6. Liveness detection prevents spoofing by checking subtle movements, skin texture, or depth cues from stereo cameras.
  7. Some systems combine face recognition with RFID cards or PINs for multi-factor authentication in high-security zones.
  8. All processing happens locally on-device in most modern systems to avoid sending biometric data to the cloud.
  9. False acceptance rates are kept below 0.001% through continuous algorithm updates and hardware calibration.
  10. Engineers must balance speed, accuracy, and fairness—especially across diverse skin tones and age groups.
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