Image Analysis TRIZ Cases

An IC module updates verification failure history using weighted increments based on biometric data similarity degrees.

A neural network paired with a forward physical model reconstructs semiconductor inspection images through residue-based parameter training.

A precision positioning system determines entity location data to recognize and interpret actions within an environment.

A parking space detection system verifies valid spaces by tracking consecutive visible frames of recognized corners to output semantic information.

A controller converts speech, facial gestures, and body movements into human interface device outputs.

Pre-printed uniform grid patterns on paper correct perspective distortion and lighting variations to improve smartphone document scanning reliability.

Combines event-based and frame-based vision sensors to resolve latency and cost contradictions in motion recognition.

A frame rate conversion system adjusts operational modes using optical flow analysis to separate foreground and background motion regions.

Segmenting product recognition by shelf location reduces computer processing load while maintaining accurate identification of diverse product varieties.

Neural network segments texture maps into pixel regions to generate compression parameters, reducing storage requirements and loading times.

Segmented fiduciary markers maintain augmented reality tracking accuracy during user gesture interactions.

Processing subtle motions from existing camera images eliminates expensive seismic sensors and accelerates evacuation orders.

Alternating contrasting stripes on a conveyor belt surface provide reference markers for an imaging system to capture continuous video sequences of moving packages.

Adaptive luma histograms and motion cues track skin tones, reducing computational complexity while maintaining high detection accuracy.

A mobile camera system captures and transmits images to a control device for automated data extraction.

Logical OR and AND operations synthesize multiple feature point sets, resolving the trade-off between completeness and accuracy in fingerprint identification.

A high-speed projector maps surface quality data onto moving vehicle bodies to display defect locations directly on the physical object.

Segmenting depth maps into discontinuity-aligned partitions reduces blocking artifacts and bit rate while preserving reconstruction quality.

A neural network identifies required parts in real-time photos to mark them within 3D demonstration animations.

A projection device generates a 3D surface model to define cut-out areas for accurate image display.

Self-service calibration analyzes reflection images of light sources to maintain measurement precision while improving recalibration convenience.

Fixed reference points and elevation models resolve coarse GPS accuracy for precise putting distance calculations.

A collation system initiates face authentication processing only for targets within specific image areas associated with each gate.

A function approximator system segments image regions into normal and abnormal classes using response maps for precise detection.

Inpainting models guide neural radiance field updates to remove objects while retaining context and ensuring visual consistency across multiple views.

A wearable heads-up display renders visual symbols by progressively combining overlapping instances with intermediate colors and opacities.

A cubic higher-order local auto-correlation feature extracts inter-frame differential data on a pixel-by-pixel basis for abnormal action detection.

A rotatable liquid crystal lens array adjusts its orientation to match user eye position.

Apparatus extracts surface texture from diffuse and specular reflection images, reducing processing time while maintaining measurement precision.

A lighting module and photovoltaic array generate unique identification codes from reflected body light for secure authentication.

A portable wireless motion capture system fuses inertial sensors with visual markers to analyze athlete biomechanics on mobile devices.

Automated image processing modifies protected information visibility within video frames, preventing inadvertent security breaches during content sharing.

An image processing apparatus calculates a change index from captured images and overlays the result on the display.

Recognition device transmits indeterminable images to a server for learning model updates.

A displacement sensor automatically sets measurement regions and feature points using image processing to simplify operation.

Automatic calibration extracts scene features and matches them to predetermined patterns, correcting camera-projector misalignment without manual intervention.

Decomposes residual signals into sub-errors for independent quantization, reducing distortion in edges while maintaining compression efficiency.

A hybrid rendering architecture partitions visual processing between a tethered computer and a wearable headset to minimize latency during rapid head movements.

Segmenting rotational and translational camera parameters resolves data ambiguity while reducing processing resource consumption.

A surveillance system gathers biometric data from multiple cameras to produce a subject dossier for real-time identification.

Visual hull construction automates simplified model generation, reducing manual labor and computational load during runtime rendering.

Orthogonal convolution kernels transform aerial images into accurate resist patterns, reducing computation time and improving model stability.

A pattern shape determining method sets reference positions to identify identical patterns within allowable tolerances.

A 3D display device measures user eye positions to calculate interocular distance for precise image alignment.

A reconstruction unit generates a foreground 3D model using depth images and foreground images from multiple viewpoints.

Sinusoidal forcing of an electrostatically levitated droplet determines surface tension through resonance, avoiding contamination from container walls.

Comparative video analysis validates drug preparation steps against stored prescriptions to prevent manual handling errors and ensure patient safety.

Stacking a wafer level lens on a VCSEL array reduces module size while managing heat from high-power operation.

Multi-scale filters in a 3D CNN extract features across varying distances, reducing memory usage and computational load compared to separate feature sets.