Acquiring/Recognising Eyes TRIZ Cases
- Multi-Camera Biometric Authentication with Adaptive Field of View
Dual cameras with nested fields of view dynamically switch modes and provide user feedback to resolve adaptability versus convenience trade-offs.
- Biometric Authentication Eye Pose Optimization
Dynamic camera and lighting adjustments optimize eye image capture, reducing reflections and stray light to improve authentication accuracy.
- Iris Recognition Image Quality Metrics and Preprocessing
Iris recognition system uses image quality metrics to assess acquired eye images before processing.
- Biometric Face Detection with Offset Lighting and Digital Mirror
Vertically offset lighting units eliminate shadows and glare on faces, reducing false rejections in automated passport photo systems.
- Two-Stage Target Detection Using Salience Area Extraction
Segmenting images into patches and extracting salience areas reduces computational cost while improving small target detection accuracy.
- Biometric Authentication Using Random Light Patterns
Randomly emitted light prevents fake biometric data capture, ensuring accurate user authentication and preventing unauthorized access.
- Eye Tracking Screen Unlocking for Wearable Displays
An eye tracking system detects gaze paths matching moving objects to unlock wearable displays, reducing power consumption by avoiding continuous monitoring.
- Perceived Image Processing for Gaze Tracking Noise Reduction
A perceived image generator creates a parametric model of an object to distinguish features from noise in gaze tracking systems.
- Automated Assistant Hot Command Enrollment via Preliminary Speech Recognition
Automated assistant detects spoken utterances to enroll new hot commands for responsive actions without explicit invocation.
- HMD Iris and Pupil Locus Login Mechanism
A head-mounted display uses an ASIC to verify iris codes and pupil loci for secure access.
- Saliency Map Prediction via Probability Distribution Loss
Probability distribution loss aligns predictions with stochastic visual attention, improving accuracy over regression methods.
- Pupil Detection via Visible Near-Infrared Image Synthesis
A device synthesizes visible and near-infrared face images to detect pupil regions without complex optical alignment.
- Drowsiness Detection via Eye Movement Interpolation
A drowsiness detection method interpolates low-rate eye movement data to high-frequency signals for accurate physiological state monitoring.
- Eye-safe NIR Illumination Control for Biometric Imaging
Dynamic NIR illumination adjusts pulse intensity based on real-time eye detection to maintain safe exposure levels during biometric imaging.
- Smart Desk AI Concentration Monitoring
AI desk monitors concentration via facial analysis, reducing parental supervision stress.
- Mobile Iris Scanner Mirror and Sensor
A compact mobile iris scanner uses a nested mirror to guide user positioning, resolving the trade-off between device size and measurement precision.