Image Analysis TRIZ Cases

A processing system segments affected regions from medical images and highlights them using distinct display modes for customizable assessment.

Behavior models predict loss probability to shorten beacon broadcast intervals when needed, reducing power consumption while maintaining detection reliability.

An ultrasound apparatus assesses bone mineral density using reflection mode signals and frequency spectrum analysis of harmonic components.

A three-dimensional measurement apparatus projects encoded patterns with specific area ratios to extract feature points accurately.

Unwarps keypoints using an image deformation model to enable reliable feature matching across distorted images.

An imaging shroud surrounds a point of interest to maintain constant positioning and isolate the capture environment.

Intersecting laser lines project onto propellant surfaces to detect deviations within +/-0.005 inches, replacing mechanical probes that yield under weight.

Pre-print edge removal and blur compensate for mechanical misalignment, enabling high-quality dual-sided images with single print engines.

A reception apparatus acquires user face information and registers it in a database to enable personalized conversations without prior manual setup.

Spatial indexing layers enable MapReduce clusters to process raster and vector data simultaneously, resolving spatial conflicts while maintaining scalability.

A perfusion imaging data processor determines agent peak characteristic-times and arguments to generate volumetric maps of circulatory sub-systems.

A thermal sensor cane detects heat sources and provides haptic feedback on object orientation.

Graphical user interface displays distinct regions to track tissue cutting member orientation during biopsy procedures.

A hybrid level set algorithm refines selection edges using a tri-regional matting region.

Dynamic VCSEL illumination adapts to ambient light, resolving complexity trade-offs while maintaining image quality.

Automated normal vector estimation determines attachment and die posture using 3D imaging data to prevent mechanical collisions during molded product extraction.

A head-worn display processing unit detects image corners by converting high-resolution frames to lower resolution for initial feature identification.

Image processing device selects optimal facial images and feature data to generate accurate 3D models.

A fractal-based identification system authenticates medication pills using self-similar geometric patterns printed directly on the dosage form.

A deterioration diagnosis system analyzes captured images from moving bodies to compute priority rankings for inspection targets.

A detection device aligns candidate regions from different postures using a deformation displacement field to identify specific objects.

A method reconstructs 3D lines from single 2D images using vanishing points and constraint graphs.

An image processing apparatus arranges photos by analyzing acquisition source and content features to generate relevant layouts.

A distance calculator uses blurriness assessment to select between monocular and stereo measurement modes for precise target ranging.

An artificial intelligence unit captures digital images to learn operational instruction sets without explicit user input.

Automated sensor fusion associates radar, camera, and laser data with player strokes to resolve manual tracking bottlenecks.

An autofocus system identifies voxel depth positions in multi-layer optical media, eliminating out-of-focus captures and improving data retrieval speed.

Monocular vision system warps wide-angle images to identify container floor boundaries for cargo status determination.

Authentication unit detects discontinuous feature quantity changes across time-series images to reject spoofing attempts using static displays.

This system combines white-light scanning interferometry with selective region inspection to resolve the trade-off between measurement precision and inspection speed.

Segmenting material structures into macrozones via hybrid descriptors resolves the contradiction between measurement precision and detection difficulty.

Generative artificial intelligence models encode visual and verbal data to predict and render dynamic facial features in holographic communications.

A neural network fuses projected map data with camera images to detect deviations in real-time.

An error range calculation section identifies inappropriate corresponding points in sequential images, enabling high-precision 3D coordinate measurement.

Output processing unit adjusts virtual sound source position using head-related transfer functions for accurate audio localization.

A video-based smoke detection system analyzes pixel changes to identify smoke clouds across monitored areas.

Segments occluded regions to apply specialized flow estimation, resolving the trade-off between frame quality and processing speed in real-time video.

Hierarchical descriptor segmentation reduces computing time while maintaining measurement precision during large dataset analysis.

A 3D shape measurement device captures images with varying settings to optimize data acquisition.

Detects image motion by comparing pixel statistics across blocks, reducing computational load and eliminating flickering during scaling operations.

Camera detects projections of aligned visual markers to compute orientation, eliminating electromagnetic interference.

An automated animation technique matches visual elements between artboards using distance metrics based on position, size, and layer hierarchy attributes.

An LED matrix lighting device uses collimating lenses and a light refracting element to direct light beams at varying angles across the illumination pattern.

A reaction measurement module processes video data to generate animation data representing audience reactions.

A motorized cross-polarizer rotates a filter to isolate polarized display boundaries from cluttered backgrounds.

In-vehicle devices preprocess raw data, reducing server load and improving interpretability.

A machine learning model determines independent adjustments to bounding shape edges using multi-scale feature maps and confidence scores.

A reset controller isolates image data errors within an ISP by resetting only affected memory regions while maintaining other contexts.

A neural network generates final feature vectors for time-series frames to determine data classes using similarity scoring.