Image Analysis TRIZ Cases

A video analysis system extracts motion features from multiple objects to identify specific behavioral patterns.

Verifies apparent and real sensor displacement consistency to authenticate 3D images, preventing false identifications without adding external hardware.

A vehicle computer system distinguishes shadows from physical objects using camera image data and light source positioning.

Multi-orientation polarization imaging derives surface normals to detect high-transmittance subjects, resolving reliability issues in complex lighting.

Clustering face images by extracted features generates a model that estimates suspiciousness for unregistered individuals without pre-defined class labels.

A method acquires distance and luminance images to identify target objects using separate sensors.

Associating depth variation information within map elements resolves bias aliasing and peter-panning artifacts.

Processor determines displacement levels and selects sampling density to generate a point array that identifies displaced image portions, reducing data size.

A processor classifies human objects and tracks head movement trajectories to determine posture in video scenes.

A learning device reduces triplet loss using adversarial facial images to train a robust recognition model.

Co-registration aligns initialized object scans with a common template while training a generic model to derive a trained articulated object model.

Screen processing unit adjusts dot lighting positions in dithering matrices to correct line transfer shifts without affecting halftone regions.

A map generation system combines portions from multiple data sources to create comprehensive regional representations.

A product detection device binarizes shelf images to measure region widths for display state analysis.

An AI image classifier analyzes suspended particle morphology and movement in flowing fluids to enable continuous, unattended water quality monitoring.

A computer vision system classifies video segments using foreground and motion feature data to determine object presence states.

A GUI model extracts component layout and functions from input images to generate executable application code.

A single camera calculates object distance by capturing images at two positions and using device location data for baseline calculation.

Transforming hologram color images into hyperspectral grayscale data resolves authentication accuracy limits by analyzing wavelength-specific thresholds.

An image processing apparatus selects edge points based on maximum feature amount distribution to approximate a straight line.

AR system pins virtual objects to real-world locations via image capture, reducing creation complexity while delivering context-aware guidance.

A depth camera captures three-dimensional image data to estimate object distance and identify human features.

Segmented detection stages resolve accuracy and efficiency trade-offs in object recognition.

Automated edge detection snaps a deformable border to image features, resolving the trade-off between manual precision and time consumption.

Linear least squares matrix computation determines maximum and minimum polarization intensity images, eliminating human error from macroscopic observation.

A display control apparatus extracts shot images by mapping user drag gestures to shooting direction and distance parameters.

A testing device extracts brain activity signals from specific regions to quantify decision certainty levels in subjects.

Attention masks segment video frames to isolate relevant regions, reducing computational demand while maintaining detection accuracy.

A vehicle number identification device matches registration data, OCR results, and machine learning estimates to identify vehicles accurately.

Correcting volume imaging equations via multi-camera triangulation reduces errors from overlapping particles and optical distortions.

A system generates object signatures in multimedia content to determine size dimensions through signature matching.

Dynamic hierarchical image sensing configures pixel cells and processing operations to reduce power consumption while maintaining high temporal resolution.

Superposes a mask image onto a first image using orientation data to generate diffuse reflection effects.

Interleaved SPAD pixel modes align intensity and depth frames to eliminate motion blur artifacts in low-light mixed reality pass-through views.

A system detects physical environment features using image sensors to generate feature descriptors for dynamic computer-generated reality content.

A machine vision system dynamically designates maximum processor counts for tool routines to enable flexible multi-core execution.

Integrated LIDAR and video modules detect and classify small unmanned aerial vehicles in monitored airspace.

Cameras detect boundary and bin optical codes to determine spatial relationships, resolving manual labor bottlenecks in inventory tracking.

A controller identifies non-processing target subjects based on positional relationships within dynamic images to apply selective mosaic processing.

A gaze-aware image encoder calculates an importance factor to reuse previous data for non-important areas.

A dual-angle iris imaging system uses variable light irradiation to capture clear biometric data.

Cab-mounted camera acquires crop images through the windshield, which wipers clean to prevent debris soiling and maintain image evaluation accuracy.

Smart guide display system identifies nearest reference objects along multiple axes to enable precise object alignment.

A video management system selects moving objects by matching user input device movement characteristics to detected object motion vectors.

Segmenting focus positions isolates overlay error from polishing asymmetry, improving measurement precision on small targets.

A flow cell branch section splits light into two optical paths, reducing device complexity and manufacturing costs while maintaining detection precision.

A compact x-ray imaging apparatus with a ring-shaped arm and integrated camera system enables precise positioning of anatomy by displaying camera images on a screen.

A gelling agent immobilizes microbes in a solid thin film for antibiotic diffusion and single-cell imaging.

Electronic apparatus processes video frames using local feature map sequences and mask images to perform efficient object removal.