Image Analysis TRIZ Cases

A structured light deflectometry system captures high-resolution images of fragmented tempered glass surfaces for automated analysis.

Multi-stage filtering detects text components across color spaces, resolving accuracy-speed trade-offs in natural image analysis.

Positioning devices detect physical location and field of view while receivers capture vision levels to adapt display magnification for low-vision users.

Merges hot-spot and detected defect coordinates to optimize inspection sequences, reducing stage shift time and balancing measurement precision with throughput.

Remote sensors detect tower position and transmit data to guide adjustments, eliminating worker exposure to shifting hazards during installation.

An object tracking system uses an imager and controller to detect body parts and identify physical objects within appliance access regions.

A computer-implemented method extracts feature trees from mesh data using geometric and adjacency graph analysis.

Motion vector borrowing unit reuses reference viewpoint vectors for multi-view encoding.

Masked normalized cross-correlation removes dominant retroreflective signals to enable accurate template matching of underlying security document patterns.

Segmentation and intermediary principles resolve the contradiction between measurement precision and system complexity by leveraging external object sensors.

Generative models produce synthetic medical images with calculated trust values to resolve artifact accuracy contradictions.

Local sensor processing filters time-series images before transmission, reducing server workload while maintaining high accuracy for nursing care monitoring.

A processing device acquires multiple image datasets by modifying relative positions between a background and an object member to derive precise data.

A method generates labeled training images by estimating object positions and separating areas into distinct tiles without manual operator involvement.

A headset integrates biometric sensors and onboard processing to capture user data for intelligent resource access decisions.

A multidimensional point-in-polygon method uses hierarchical region approximation to reduce processor resource usage during geometric analysis.

Segmented target apertures enable precise distortion profile determination within compact space, eliminating large calibration area requirements.

An image processing apparatus adjusts correspondence points on line segments to align design data with edge lines.

Hierarchical block segmentation resolves occlusion accuracy limits by calculating parallax candidates from parent and adjacent blocks.

Depth-weighted texture blending resolves view point flexibility versus image quality contradictions by maintaining depth consistency and avoiding mesh holes.

A frame data generation unit converts asynchronous event signals into synchronized video frames.

A visual localization method generates descriptors from horizontal viewing angles between vertical feature lines to determine photographing locations.

A character string detection device clusters pixels by color to generate a clipped image for targeted recognition.

A coordinate conversion section transforms distorted image data into plane coordinates using distance measurements from a phase difference detection sensor.

A method identifies horizontal or vertical planes in a single digital image to generate depth maps automatically.

An information processing device specifies virtual object arrangements to express realistic interactions with captured real physical bodies.

Authentication module rotates captured fingerprint images based on detected device orientation to resolve speed versus adaptability contradictions.

Automated system computes aggregate probability score to replace subjective radiologist assessment of mammogram images.

Internal memory banks handle data transfer for motion searches, eliminating latency caused by slow external SDRAM access.

An automated apparatus uses oscillating walls to progressively orient gemstones into their most stable position.

Optical tracking replaces damaged codes to maintain production speed and reliability.

Recover reticle near fields from multi-config images to predict wafer patterns and detect defects without design database reliance.

A detection model identifies primary components while a combination model determines their spatial relationships.

An immunofluorescence imaging system uses periodic illumination to minimize sample burnout while maintaining fluid navigation through biological sections.

A processing apparatus calculates model vessel paths and aligns contour planes based on centreline direction to ensure geometric consistency across branching structures.

A processing system segments discrete data samples into piecewise continuous representations to estimate sub-sample displacements.

A convolutional neural network processes separate 2D occupancy and occlusion views derived from depth maps to detect object type and state.

A medical system uses identification videos to route diverse video signals across multiple monitors.

A visual interface displays hierarchical registration relationships to simplify multi-modality image management.

Automated vision detection of natural ply features corrects positioning errors, ensuring composite parts meet strict manufacturing tolerances.

Masking logic circuitry directs shifted data into specific array locations within a two-dimensional shift register.

A multi-imaging unit system segments regions to calculate distance via disparity.

A color processing system generates a color gamut by adjusting vertices based on toner type and printing order.

Evaluation device retrieves and registers medical images to create composite datasets, reducing manual comparison errors.

Neural network analysis of repositioned container images identifies medication and verifies seal integrity, reducing reliance on complex mechanical systems.