face-recognition

Facial recognition for attendance uses 128-dimensional face descriptors to enroll and verify employee identities in real time. This Skill provides a Vue 3 + TypeScript frontend paired with a Laravel backend, integrating face-api.js and MediaPipe for detection, enrollment, and verification workflows with configurable confidence thresholds.

Liveness detection prevents spoofing attacks by confirming a real face is present during authentication, not a photo or video. This Skill implements basic liveness checks alongside 128-dimensional descriptors to secure biometric attendance systems against fraudulent verification attempts.

Yes. This Skill integrates both face-api.js and MediaPipe to deliver real-time face detection with configurable confidence thresholds. Both libraries work within the Vue 3 frontend and Laravel backend architecture to support detection, enrollment, and verification at scale.

Registration stores a new employee's 128-dimensional face descriptor via API. Verification compares live captures against enrolled records to confirm identity. This Skill handles the complete end-to-end flow from UI components through detection services to backend controllers.

Facial recognition accuracy depends on lighting, angle, and occlusion. Liveness checks mitigate basic spoofing but do not prevent all fraud vectors. This Skill provides configurable thresholds and performance caching to balance security and usability for attendance contexts.

Yes. This Skill is built on Vue 3 + TypeScript frontend and Laravel backend, designed for production attendance workflows. It supports detection, enrollment, verification, and analytics across both tiers with integrated data flow between UI and backend controllers.