Image Analysis TRIZ Cases

A vehicle control unit selects functions based on detected user movements and conditions.

A setting support system estimates projection region shapes on three-dimensional objects to assist users in selecting appropriate correction templates.

Machine learning feature generation models create pixel vectors from 2D images to identify target objects without depth sensors.

A dual imaging image reading device combines scanner and capturing units to measure object shapes.

Augmented reality gradient overlay displays consumption likelihood based on caloric content and expiration dates.

A GPU prefetcher retrieves graphics data for similar tiles from previous frames to accelerate tile-based rendering.

Resolution conversion means generate lower resolution images for moving object detection, reducing CPU and memory resource consumption.

A space allocation system processes multi-variate object data to generate optimized placement combinations within defined storage containers.

Information processing apparatus acquires virtual viewpoint parameters to specify subject orientation in generated video.

Recursive rib segmentation generates cross-sectional images that isolate cortical and trabecular bone features, resolving tedious manual slice review.

Dual-camera vision captures synchronized droplet images to reconstruct three-dimensional geometry.

Route-based fingerprinting detects morphed identity documents by analyzing local pixel variations along constrained paths, reducing system complexity.

A multi-wavelength polarized light measurement system derives surface topography using sequential interference patterns across distinct spectral bands.

Color space angle analysis distinguishes actual lesion changes from brightness fluctuations, enabling objective quantification of tissue pathology.

Automated follicle detection reduces clinic visits while maintaining specialist-level measurement precision.

A popularity assessment system maps geographic usage data to RGB color values for visual chart generation.

Assertion application embeds sensor readings into media content to resolve authenticity reliability contradictions through nested validation data.

A surveillance system detects approaching strangers using feature value storage and image processing.

A posture detection method analyzes body contour pixel distribution to determine user orientation.

A biometric authentication system acquires texture images alongside pressure indicators to verify user identity.

A heterogeneous multiprocessor dynamically partitions tasks between scalar and SIMD cores to maximize performance per unit area.

Image processing device analyzes captured images alongside calibration elements to determine sample container geometry without prior reference data.

A single image capture device estimates distance by determining the pixel-to-unit ratio based on iris diameter in the captured frame.

An electronic orientation monitor calculates roll, pitch, and yaw angles to guide surgical instrument placement during hip replacement procedures.

A domestic animal identification service extracts phenotypes from pet images to match registered profiles in a database.

A microscope adjusts excitation light radiation width during magnification switching to maintain imaging resolution.

Pixel-level edge processing of spatial phase primitives enables real-time 3D reconstruction through turbid media without increasing device complexity.

Laser displacement meters and cameras measure distances from reference model lines to detect opening and gage difference defects in bead filler joints.

Image recognition locates missing web page objects to update test scripts automatically.

Perspective displays of three-dimensional track geometry models resolve operator complexity while maintaining measurement precision.

Imaging systems monitor plasma uniformity and reduce particle contamination by analyzing sheath thickness via camera-equipped liners.

A display controller separates safety and non-safety image data using a merging unit to compose the final output.

Augmented reality headset overlays virtual component images onto live workpiece video streams to resolve three-dimensional placement accuracy challenges.

Segmenting body regions reduces data storage requirements while maintaining high recognition precision through combined learning and modeling approaches.

A learning unit selects detection areas based on identification reliability to train object detection models.

A light field display device uses a dynamic optical coupler to adjust virtual camera positions for multi-view image generation.

A projection device generates a visual field of view replica for on-site camera alignment.

An apparatus calculates label reliability to guide user review of image data.

Stationary imaging detectors on a metrology table determine end-effector position in six degrees of freedom.

Segmented visibility checks identify discrete path segments, reducing computational complexity while maintaining reliable navigation.

Segmenting the detector field by actual-position data reduces computational complexity while maintaining defect detection reliability in moving laser beams.

A single camera paired with a rotator captures target images and calculates distance from projection data.

A controller analyzes camera images to detect objects and adjusts light source colors automatically.

A scaling factor adjusts virtual objects to match distorted video feeds in augmented reality environments.

An image processing apparatus estimates surface normals using captured images and material information to select appropriate reflection models.

A correction method for diffusion weighted imaging images uses flip angle factors to enhance image homogeneity.

A manually movable consumer product mockup paired with a simulation subsystem tracks user motion to present virtual properties for interaction.