A drowsiness detection circuit calculates a vertical histogram of the eye region to determine pixel height for closed-eye identification.
A dynamic scoring model merges facial gaze detection with client device interaction data to estimate user attention levels.
Triangulation of dual infrared camera images determines precise 3D eye location, accommodating head movement without requiring user-worn equipment.
A classifier assigns red-eye patches to standard or modified correction classes.
Electronic device acquires biometric data from multiple sensors simultaneously, reducing tedious enrollment time and complexity.
A control circuit generates amplitude, phase, and average images from polarized light to authenticate users via unique corneal and iris optical characteristics.
Grating lamina deflects light via waveguides to resolve bulky optics trade-offs in HMD integration.
Excites human tissue fluorescence via dual-band illumination to distinguish live persons from photographs or masks, resolving spoofing security risks.
A biometric detection system analyzes reflection intensity variations captured under different illumination conditions to classify objects.
Adaptive iris matching processes visible regions without full segmentation to index databases using partial codes.
Simulated occlusion training enables accurate iris recognition without explicit parameter recovery under relaxed user conditions.
An anti-cheating system uses iris recognition to verify examinee identity during online assessments.
A 3D gaze tracker combines time-of-flight and picture cameras to determine gaze vectors without headgear.
Automated eye tracking captures gaze position to provide real-time attention feedback, resolving insufficient manual feedback during concentration exercises.
A detection apparatus extracts eyelid candidate lines using a Sobel filter to calculate position parameters.
An integrated optical component combines a reflector recess and lens to enhance mechanical stability while reducing assembly complexity in biometric sensors.
A video camera system measures inter-pupil distance to determine lateral gaze angle using inverse cosine calculations.
Probability-based detection distinguishes red eyes from faces, reducing artifacts without pre-flash hardware.
Multi-wavelength spectral analysis detects color contact lenses on the iris, resolving authentication accuracy issues caused by artificial iris color changes.
A line-of-sight correction unit applies personalized dictionary data to detected face features for accurate orientation tracking.
An eyeball reflection unit guides user alignment for accurate iris recognition.
Dynamic mirror positioning resolves the contradiction between simplified common mirror configurations and accurate imaging at varying focal lengths.
A head imaging sensor module captures facial and ocular data to authorize device access.
A duplex camera system uses a wavelength selective mirror to separate visible and infrared light for simultaneous face and iris imaging.
Hierarchical segmentation isolates the eye region to reduce processing load while minimizing errors from ambient light and glasses frames.
Color camera navigation guides users into the narrow infrared field of view, resolving the trade-off between recognition reliability and ease of operation.
An infrared eye scanner integrates an emitter and camera to capture reflection variations from the user's eye.
Ring filter correlation locates limbus and pupil boundaries despite blood obscuration, improving surgical precision.
An iris recognition device determines threshold brightness from a reference area to exclude target pixels in candidate regions.
A detection device analyzes eye direction, face direction, and surrounding object arrangement to identify suspicious behavior.