Face ID Pro

Android app by GearLoopTrack. Education · GearLoopTrack

Store rating
Unknown
Store rating count
Unknown
Download price
Free to download
In-app purchases
Not listed in captured metadata
Version
1.0.29
Listing last refreshed
2026-09-13

View the original store listing

Store description excerpt

Face ID Pro is a cross-platform mobile application, designed for face detection, recognition, and analysis. It aims to combine functional computer vision with a straightforward, monochromatic user interface to assist with biometric identity verification. Core Capabilities 1. Face Enrollment & Management Register multiple face images per user with names Manage registered faces (add, search, delete) User‑specific data segregation (each user sees only their enrolled faces) 2. Face Verification (1:1) Compare two face images to help confirm identity Returns confidence score and distance metric Visual feedback with annotated images 3. Face Recognition (1:N) Identify unknown faces against the registered database Returns matched identity with confidence Supports multi‑face detection in a single image 4. Face Analysis Age & Gender Prediction – estimates age and gender with confidence Expression Recognition – classifies emotions (happy, sad, angry, surprise, disgust, neutral) Facial Topology – generates 3D face mesh and wireframe overlays 5. Liveness Detection (Anti‑Spoofing) Designed to help prevent photo/video/mask spoofing attacks Analyzes texture, color, frequency, and deep‑learning features Returns a security score with confidence 6. Wink Detection (Optional) Live camera detection with auto‑snap on wink Displays Eye Aspect Ratio (EAR) for both eyes Confirms wink with server‑side verification 7. History Log Audit trail of operations Shows timestamp, type, confidence, and matched identity Searchable and exportable 8. Export & Reporting Export Image – capture result cards as PNG Export PDF – generate reports with continuous layout Available on all result screens 9. Security & User Experience User Authentication – secure login with JWT tokens User Segregation – data is isolated per user Uniform Button Press Feedback – consistent dark‑state interaction

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