Image Analysis TRIZ Cases

Digital image analysis measures knuckle density and pocket area, resolving inaccuracy from worn fabric geometry.

A 3D scanner uses a gyroscope-equipped spherical positioning device to rotate objects for precise coordinate acquisition.

Self-similar geometric patterns distribute user avatars across virtual spaces to prevent overcrowding.

A sensor system adjusts pixel operational states via image pipeline feedback to manage power consumption.

A mixed-reality cloud service updates sensor readings maps to track portable IoT device locations.

A virtual grid maps source image coordinates to identify overlaps, reducing duplicate data retrieval and boosting processing performance.

A navigational grid overlays body images to enable section selection and magnification of skin areas.

Outer product vectors capture second-order feature interactions between image regions and text, resolving accuracy limits of linear fusion.

A dynamic augmented reality system calculates optimal labeling positions for building blocks based on camera viewing angles and outline data.

Processor aligns virtual scale with object measurement axis, reducing manual endoscope manipulation time.

A height profile reconstruction method anchors depth values to guide extended photometric stereo analysis for precise surface imaging.

Aggregating apparent motion into an eccentricity map resolves CNN difficulties detecting speed and direction between frames.

An inspection device detects individual carrier-free fitting elements on containers to verify their presence and positioning.

Real-time self-calibration focuses ultrasonic energy on sea lice, preventing fish damage during removal.

A mobile device uses an imaging unit to display detected wireless enabled devices on screen for direct user selection.

A region recognition method generates contour maps from specified boundary curves to identify target areas in scene images.

A geometry measurement system projects multiple patterns and generates pixel quantization values for luminance comparison.

A structured light system projects a codeword pattern with varying light point intensities to generate hybrid depth maps across different distances.

Continuous video acquisition detects dart throws to trigger automatic replay display, preventing loss of important game events during social play.

Detecting silhouette absence ranges before searching reduces processing time and memory access during 3D shape reconstruction.

Electronic device system uses image recognition to identify matching features, automating authentication without manual input.

A multi-level abstraction ladder organizes image pixels into curve primitives and gradient sets to extract descriptive data from electronic imagery.

A processing workflow creates polygonal meshes from head images and aligns them using iterative closest point methods.

A face comparison device detects blocking objects in captured images to guide user interaction without immediate processing suspension.

An information interpolation device calculates positional data for frames lacking target detection using adjacent valid measurements.

Estimates camera parameters by aligning non-point landmarks with rendered templates, resolving calibration difficulties on non-planar outdoor surfaces.

Staged compression of extracted feature points minimizes communication costs while maintaining search accuracy in mobile terminals.

Pre-generating deformed reference images resolves matching failures at large tilt angles while keeping calculation complexity low.

Time delay integration with a 1D line scan camera reconstructs 2D time-space information, reducing inspection time for display panel manufacturing.

Asynchronous light sensors process individual pixel events to eliminate frame latency and improve real-time motion detection accuracy.

A three-dimensional monitoring system tracks physical movement using altitude data to define precise spatial boundaries.

A drum transfers film members to display panels using synchronized linear stages.

Information processing apparatus automatically associates elapsed time data with medical images based on imaging conditions.

Multi-instance visual tracking system using observer motion modelling to enhance detection accuracy across dynamic video frames.

Automated landmark detection adjusts collimator and ROI filter settings in real time during interventional procedures.

A camera and LiDAR sensor system tracks objects by adjusting the camera direction based on scanning data.

A three-camera optical system correlates light spot data across image, focal, and intermediate planes to resolve mirror position and orientation contradictions.

A low-resolution 2D LIDAR sensor derives human shapes using higher-order characteristic functions and point clustering.

Optical flow translation estimation optimizes homography models to maintain location tracking reliability in hazardous environments with low-contrast images.

A method calculates a universal noise floor excluding high-value normalized cross-correlation values to compare camera fingerprints.

Segmenting 3D meshes into variable resolution levels reduces transmission volume while maintaining display quality on mobile devices.

A character recognition system extracts nodes and edges from input images to generate graphical representations for matching.

Collimated ultraviolet illumination enables accurate seam detection on dark containers, resolving reliability issues caused by complex image processing.

A keypoint detection system identifies human and object features in video frames to extract spatial-temporal data.

A customized user interface displays 3D production assets for direct stakeholder manipulation and feedback.

A fuel dispenser leak detection assembly uses imaging apparatus and weight sensors to capture visual records of fluid accumulation in the base cabinet.

A virtual viewpoint image processing apparatus generates shadow mask images to extract shadow areas from foreground inputs.

An image classification device displays calculated morphological feature amounts alongside extracted cell images to facilitate efficient creation of initial classification data.

Automated imaging system aligns ULD images with templates to identify container types using down-sampled grid analysis.

A video monitoring system automates mask usage detection using image processing and machine learning algorithms.