Image Analysis TRIZ Cases

An eye patch integrates inertial sensors and a microcontroller to capture continuous movement data.

Processor acquires line-of-sight data to generate blind region state information for wearable display output.

A measurement system uses dual search parts to identify corresponding regions in projection patterns for distance calculation.

Singular value decomposition isolates lipid spectra from magnetic resonance voxel data to enhance metabolite signal clarity.

Two-way ranging determines anchor positions to resolve measurement precision trade-offs during relocation.

Integrating a fingerprint reader with a push-button switch resolves identification accuracy issues caused by shared key fobs in vehicles.

A video sampling method selects mis-detected frames for neural network training.

A visual capturing device with adjustable focal points captures test image reflections from reflective surfaces for automated quality analysis.

A k-means algorithm segments video pixels by luma, chroma, and motion data to generate depth maps for real-time display.

A diagnosis assisting apparatus guides medical interpreters through structured judgment steps to input results directly within the viewing interface.

A scanner system analyzes spatial image attributes to automatically identify the marking process.

Triangular segmentation and local transparency reduce marker area while maintaining precise region identification.

A motion detection utility analyzes time-lapsed images using discrete cosine transform coefficients to identify region-of-interest movement patterns.

Band equalization distinguishes illuminant from scene content, eliminating look-up table operations that degrade remotely sensed image quality.

Analysis module determines 3D reconstruction indicators from video data to guide optimal image capture viewpoints.

Location-scale model standardizes feature maps across different centers to improve generalization.

A transmission unit sends invalidity information when detection fails.

Automatic defect classification system groups defects and presents representative samples for user review.

A checker analyzes correlation between current and subsequent images to determine appropriate change effects for smooth visual transitions.

A stereo vision system uses image compression to detect objects and selectively activates a stereo matching module for high-resolution distance information.

A diffusion model reconstructs 3D objects using incomplete point clouds and text descriptions.

Neural network extraction concentrates computational resources on specific targets to resolve computing load constraints during high-frequency tracking.

A segmented scout vehicle transmits real-time sensor data ahead of the train, extending detection range beyond locomotive limits to prevent collisions.

A patient monitoring system uses visual context to trigger physiological measurements.

A monitoring system acquires physical quantity data from optical fibers and measurement sensors to detect infrastructure facility failures.

Augmented reality computing platform compares live kiosk images against pre-stored physical specifications to identify unauthorized hardware modifications.

Integrating a camera with a spectral grass sensor classifies image pixels to map boundaries, resolving detection errors from point-effect sensors.

Coordinate transformation unit maps camera positions to world coordinates, resolving unclear target shapes in radar images.

Neural ray graph networks process multi-camera inputs to resolve the trade-off between 3D detection accuracy and system complexity.

Dimensionality reduction compresses initial subsurface models to lower computational costs while maintaining posterior set accuracy.

A digital image acquisition module captures deformed documents and applies segmentation algorithms to isolate candidate sign regions for robust identification.

A scanning apparatus forms composite images of moving objects using motion estimates derived from pixel intensity comparisons between consecutive frames.

Color space transformation improves road surface identification accuracy while reducing false sensing from background objects.

A whole body restoration model fills missing regions in partial person images to provide complete input data for accurate skeleton estimation.

Error-added movement locus generation unit trains action recognition models using simulated estimation errors.

An optical flare monitoring system replaces expensive ultrasonic sensors with a camera and processing circuitry to estimate flow rate from flame images.

A computing system records video and execution information to create temporally synchronized diagnostic content.

Asymmetric optical lens system concentrates light to detect twisted cords and cuts on black elastomeric tyres without complex mechanical arrangements.

Segmenting large images into sub-images allows closed form matting within memory limits while preserving high-resolution alpha mask quality.

A computer analyzes partial images of musical scores to generate characteristic data and select matching candidate images.

An image analysis apparatus measures object distance and extracts key feature points from captured images to enable rapid comparison against reference data.

A vanishing point calculator overlaps feature points across multiple images to maintain calculation accuracy.

A temporary setting unit establishes candidate points based on sensor specifications to correct detection point positions.

Unique pixel parameters in a reference image enable reproducible transformation on complex 3D objects, avoiding matrix inversion computational effort.

Electronic device augments passive optical sensor image data by projecting active sensor clusters onto the image plane.

A method estimates line width ranges using cross-edge histograms to merge irregular segments into single strokes.

A graph neural network calculates object information by iteratively updating track edges and nodes to generate reliable trajectories.

A surgical system sets a region-of-interest using image segmentation and candidate acquisition to control camera focus.

Driving support apparatus predicts hidden object emergence using optical flow and pattern matching to prevent collisions with obscured mobile objects.