Image Analysis TRIZ Cases

An object tracking apparatus generates feature vectors from image positions to calculate correspondence information directly.

A frameless touchscreen display system uses a 2D lidar sensor to detect touch inputs without physical panels.

An image generation apparatus synthesizes luminance and contrast maps to produce visual stimuli for user testing.

Camera-based image analysis replaces complex sensor installations to accurately detect vacant parking spaces and reduce traffic congestion.

A stereo matching apparatus calculates horizontal and vertical similarity degrees to determine pixel disparity.

A 3D element layout visualization method projects bounding box edge elements to identify collinear sets for intuitive spatial position determination.

Image recognition of unique key indicia resolves security risks from memory-based color schemes while enabling efficient identification.

Extracting macroblocks and motion vectors from compressed video data reduces false positives on under-powered smart camera devices.

A puddle light projector selects complementary colors to maintain image legibility on varying ground surfaces.

A tracking component isolates video segments for deep learning classification to enable real-time object recognition.

A medical information processing apparatus evaluates image quality after each deep neural network stage to decide whether to propagate data further.

An automated method segments images into smaller regions to identify areas suitable for text overlay.

A camera captures site images while a processor builds 3D models to match detected objects against candidate clusters.

Segmented instrument panel displays personal media alongside travel data to resolve the contradiction between user engagement and operational visibility.

Sensor fusion algorithms interpret imperfect turn signal data to resolve reliability contradictions during autonomous lane changes.

A wearable social distance reminder device provides customizable alerts to maintain safe spacing between individuals.

Multi-anchor detection identifies user interface elements for robotic process automation using multiple reference points.

A biometric system uses corneal reflection from a display screen to verify live human eyes through image magnification and curvature analysis.

A display control method determines active regions in source images and superimposes generated pattern images to visualize pixel information on the display panel.

A method defines a region of interest on a 3D model to locate unique features on manufactured objects for identification.

Calibrated motion analysis unit reconstructs golf club swing paths while correcting for positional drift and shaft deflection.

Initial motion recognition module detects trigger points in sensor streams to selectively store and transmit relevant data segments.

Guided camera positioning ensures consistent angles, reducing computational load and improving image stitching quality.

A control unit corrects display information presentation position based on viewpoint movement and light emission periods.

A salient motion detection system segments video into superpixels and computes optical flow to identify pixel clusters moving in common directions.

A coarse-to-fine detection strategy uses object relations to restrict search regions and improve processing efficiency.

A color gamut mapping method determines target coordinates using area proportion and hue angle to optimize image rendering.

Region-specific confidence thresholds adapt via historical score analysis, reducing false negatives and positives for improved detection accuracy.

An image signature extraction device generates features from pairs of sub-regions with varying shapes and relative positions.

A regularized double-column convolutional neural network learns image features by fixing one column to guide the other during training.

A three-dimensional object in virtual space uses orientation-based axes for user-controlled enlargement and reduction operations.

A processing system detects audio and motion signatures within media data to enable precise content portion selection.

A dual-edge detection technique combines high-sensitivity and noise-resistant peak methods to identify true edge positions in charged particle radiation images.

Transparent optical element projects virtual images onto sunroofs, resolving viewer fatigue from suboptimal distances while maintaining external visibility.

A multi-layer test body with varying hole sizes assesses image quality across multiple planes in a single X-ray exposure.

Information processing apparatus acquires object configuration information to define element order for image annotations.

A vehicle control device predicts pedestrian travel routes by analyzing changes in body orientation and inverted angles.

A screen printing algorithm selects representative ink colors by grouping pixels into superpixels and analyzing local color similarity.

Geometry shader unit produces variable-length output, reducing memory bandwidth and offloading CPU processing.

Segmenting surface orientation into discrete hypotheses enables accurate extraction of vertical features like telephone poles that conventional algorithms miss.

Optical sensor acquires reference images to reconstruct 3D models and calculate precise inspection positions.

A 3D rangefinder system displays range data in multiple formats to simplify feature identification and measurement specification.

Automated template selection analyzes photo metadata to group images, eliminating manual theme choices that waste time and cause inappropriate layouts.

A light source module generates superposition structured patterns using polarized beams and diffractive elements.

Geometric template matching locates sensitive data regions without semantic analysis, reducing system complexity while maintaining identification accuracy.

A neural network model combines local blocks for adjacent pixels with non-local blocks for non-adjacent pixels to enhance detection accuracy.

Point cloud separation algorithms automate target identification in 3D CT scans, reducing manual marking time and improving operator efficiency.

System classifies audio sources by type and position to selectively amplify desired sounds while reducing noise interference in complex environments.

A sensor calibration system uses dynamic luminance changes to detect and correct image distortions in event-driven vision sensors.