STEM与日常科技·英语30篇（2）

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人脸识别在门禁中的流程

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