Image Analysis TRIZ Cases

A system generates business process models by analyzing video and audio recordings of design sessions to identify tasks and dependencies.

A neural network generates corrections to refine 3D facial geometry and appearance parameters from single images.

An information processing apparatus compares onboard and external sensor data to detect abnormalities, ensuring accurate automated driving.

An information processing device estimates target distributions using reliability-based filtering and spatial analysis.

Signed foreground extraction and fusion eliminates border shadows by converting pixel data to signed integers, reducing storage requirements.

Aligns color a priori information with target images to eliminate color bleeding and fading in AI-based image coloring.

A display system adapts its view between side-by-side and overlay modes based on a distance threshold to optimize image presentation.

Direct hardware connections synchronize shutter timings across imaging devices, eliminating software processing delays.

Camera captures panoramic images to compute angular separations, replacing manual alignment with automated optical processing.

Autoencoders encode optical flows from video frames to extract movement-based biomarker values.

Sequential digital imaging tracks colony expansion to identify optimal picking times before adjacent colonies touch and compromise sample purity.

A probe tracking method applies a mechanical model to apparent locations to generate corrected coordinates for enhanced position accuracy.

A 3D object recognition method extracts feature points from point clouds using position and color relationships to generate descriptors.

Ordinal regression model predicts joint coordinates from transformer feature maps, resolving noise and low resolution in depth images.

An action determination device extracts feature points and generates tracking information for object movement analysis.

A unified deep learning model segments multiple objects using combined probability maps, reducing computational load and training time.

An automated system replaces manual visual inspection with algorithmic feature extraction to maintain measurement precision while improving analysis speed.

A learned model selects reference information to automatically color designated image areas.

A 3D shape measurement apparatus calculates phase information and defocus amounts to determine object geometry.

Segmenting processing into parallel pipelines resolves the trade-off between generalizability and complexity, automating feature learning.

An image processing system selects linear images with varying line widths to evaluate object surfaces.

An AI model classifies empty and full capsids in cryo-EM images to automate viral vector analysis.

A contextual image system automatically selects and resizes images to fill canvas objects based on content analysis.

A surface profiling method projects slit pattern light in multiple directions to capture reflected images and calculate height vector fields.

Adapting smooth energy coefficients via texture analysis resolves over-smoothing artifacts in stereo images while reducing calculation time.

Automated gain compensation adjusts image brightness patterns during ultrasound imaging state transitions.

A character recognition method constructs an adaptive mask based on local color distance to extract stroke pixels from images.

Index surfaces on a support bed fix airfoil position, eliminating iterative clay shaping.

Calculates integrated similarity from face and voice data, applying dynamic thresholds to maintain recognition accuracy despite noisy voice inputs.

Flat hammer vibration minimizes powder cracks during container inspection, improving detection accuracy.

First-person image sensors relay visual context to external processors, resolving ambiguity in activity tracking where motion sensors fail.

A classification apparatus computes attention data from intermediate feature values to weight and integrate multiple input types.

Processor classifies ultrasound images using deep convolutional neural networks to provide real-time operator guidance.

A predictor component calculates future member positions to simulate real-time touch detection on display frames.

Video object segmentation method using edge detection and change detection to improve accuracy in rainy environments.

High-frequency pattern interference separates reflected light from direct components in binary grating projection systems.

A medical image processing unit superimposes reporting figures inside lesion regions to identify areas of interest without obscuring boundaries.

Particle engines generate procedural textures by simulating environmental interactions, eliminating manual color mapping to enhance visual realism.

A ToF camera device adjusts light source current based on object surface properties to generate accurate depth maps.

A visual recommendation engine analyzes customer images to determine purchase tendencies and suggest items without prior records.

Base stations broadcast three-dimensional map packages to artificial reality devices for passive pose determination.

A classification system evaluates movement profiles from selected camera images to determine pedestrian intentions.

Extract vascular pulse waves via Fourier-based filtering to resolve wavelet limitations and improve spatiotemporal visualization.

A feature detection system assigns scores using spatial thresholds and neighborhood kernels to improve labeling accuracy.

A histogram calculation unit segments road surface images to distinguish running-allowed regions from obstacles.

On-board detection device generates metadata from vehicle sensors to identify driving events for cloud transmission.

A predictive model associates input images with an identity data set to recognize faces under varying conditions.