Image Analysis TRIZ Cases

A computer vision system recovers 3D shape by capturing images of an object in differential motion.

Automated feature extraction from captured images enables on-site staff to update electronic shelf displays without manual backend requests.

A predicted background image generation method uses small region panorama images to create consistent lighting conditions.

A region-of-interest detection apparatus calculates foreground levels and saliency values to identify image regions.

An RGBW image upscale unit separates color difference and brightness components for independent interpolation processing.

A dynamic two-dimensional code evaluation system analyzes sequentially displayed codes to enable accurate reading and authentication.

Segmenting foreign matter detection from damaged region analysis resolves the contradiction between improved detection capability and system complexity.

A data generation apparatus creates new learning data by associating corrected determination results with images to improve identification accuracy.

A liquid crystal illumination device positions a light source to emit diffused light within an effective angle range of the panel.

A facial feature mask generated by iteratively refining local color models against general training data to enable automatic image editing.

Synthesizes realistic defect images via GANs to reduce manual labeling costs and improve detection accuracy in printed matter quality control.

UVN coordinate transformation maps mesh vertices to preserve volume, preventing surface distortions in extreme expression animations.

An evaluation system detects alignment mark positions by analyzing photoelectric waveform data and specifying potential locations based on signal characteristics.

An electronic platform creates 3D virtual models of diamonds to enable automated individual transactions.

Shared convolutional layers merge context and shape score information to resolve integration bottlenecks in autonomous driving perception.

An automated microscope apparatus uses microfluidic cartridges and image analysis to count leukocytes in milk samples.

A host system calculates virtual object positions using a camera field of view ratio to maintain seamless visual continuity.

An augmentation controller anchors virtual objects to real-world feature descriptors in live video streams.

A learning apparatus acquires environment information to train an object detection model for target objects.

Detectable contours on a sample treatment cover member resolve orientation contradictions, preventing reagent waste and instrument downtime.

A computer generates modified coating images from entered color additive formulations for visual assessment.

Variable line patterns encode user attributes within identification documents for machine-readable verification.

Image processing apparatus extracts edge pixels and adds end pixels to detect rectangle regions from straight lines.

A composite frame multiplexes left and right images with depth maps into a single stream for efficient transmission.

A shading system creates controlled dark zones on structures to enable precise three-dimensional scanning using projected light patterns.

A position detection device evaluates edge validity to remove invalid signals.

A mobile device analyzes user photographs to determine emotive states and categorize them for generating personalized spending alerts.

A color-based game interface generates annotation data to resolve recognition failures caused by lighting conditions and camera movement.

A two-dimensional infrared camera estimates hand depth using intensity analysis.

Subdivides weight kernels and input feature maps into sub-kernels and sub-maps to resolve hardware complexity while supporting arbitrary strides.

An asymmetric camera system combines a colour filter array sensor with a full colour imaging device to isolate and process specific colour channels.

Augmented reality system superimposes virtual sensor images on captured wall images to resolve installation accuracy and coverage visualization contradictions.

A LiDAR recognition system segments point clouds into distance-based layers to identify occluded objects.

A virtual plant model generation system creates detailed 3D representations from in-situ images using point cloud and skeleton segment analysis.

A color classification system assigns finite color classes to image sub-regions using zero-order and conditional probability distributions.

A stacked two-stage attention mechanism aligns image regions with text words to compute similarity scores.

Integrated marker elements enable sensor unit calibration validation during routine vehicle servicing operations.

A video synopsis generation system detects source objects and tracks motion to produce customized output based on user queries.

A computer-implemented method merges overlapping road graphs using parallel processing to expand map coverage.

A data capture device generates model regions using an aiming pattern to configure object detection jobs locally.

A myocardial perfusion assessment method normalizes image segments using a reference segment to derive relative maximum upslopes.

A video object detection system classifies targets and builds structural topology for precise identification.

A controller calculates relative positions of distance measuring cameras using image data from an imaging device.

A video-to-content engine generates contextual text from video frames and audio segments using distributed processing.

A stereo polarization image capturing section receives polarized light from different viewpoints to estimate surface normal direction vectors.

A system extracts color palettes from item images to cluster products and recommend complementary accessories.

A division processing unit splits input depth and image data into overlapping regions to enable parallel inference of high-resolution depth maps.

Local log-polar range images normalize angular ambiguity via Fourier expansion, enabling robust coarse registration without external positioning devices.