Image Analysis TRIZ Cases

Image-based object detection determines user heading to recalibrate compass and inertial sensors, resolving magnetic disturbance issues in portable accessories.

An ensemble embedding method generates and combines multiple uncorrelated projections to create a stable lower-dimensional representation of multimodal biomedical data.

A reversing camera system calculates dynamic trajectory templates based on steering angle and vehicle speed.

A digital twin system maps product imperfections to virtual templates for unique identification.

An augmented reality imaging device synthesizes virtual objects with captured water-surface views using position and posture data.

A video event management system detects vehicles and generates subframes with metadata from camera feeds.

An overlay selection screen merges with the video playback interface to reduce line of sight movement and analyst load during repetitive work process analysis.

Normalization transformations adjust pixel depth values to stabilize feature amounts, resolving search accuracy degradation during out-of-plane rotations.

A transparent near-eye display uses surface detection to identify environmental objects and generate spatial identifiers for virtual content.

A hardness tester extracts indentation areas using pattern matching on reduced images instead of binarization.

A control circuit generates augmented images and segmentation maps to classify segments automatically.

A ray-coordinate system uses basis vectors aligned with the ray direction to simplify intersection testing operations.

A picture-in-picture inset displays an overhead synthetic vision view within the augmented reality headset to show target area positions.

A camera calibration method extracts diagonal parameters from a single quadrangle image to estimate extrinsic and intrinsic parameters.

Information processing apparatus segments time-series data into multiple sets to estimate analysis accuracy and determine optimal aggregation parameters.

A shovel notification system uses image capturing devices to detect surrounding objects and determine alert necessity.

Machine learning models estimate object depth to resolve search inefficiency caused by missing spatial context in standard image metadata.

A font creation apparatus extracts feature amounts from character images and estimates transformation parameters to generate complete font sets.

A camera processor selects key video frames to run neural network inference for human presence detection.

Automated X-ray imaging system centers region of interest using calculated movement parameters, reducing manual positioning errors and exposure doses.

A measuring device images a segmented test pattern through the lens to extract central and edge quality parameters for precise optical assessment.

A detection system uses a reference display panel to compare calibration images against test outputs for objective residual image measurement.

A self-luminous display integrates visible and infrared pixels to output virtual images and track user gaze.

A document image extraction system aligns target images to standard templates using key point transformation matrices for rapid information retrieval.

An information processing device uses image recognition to distinguish real persons from other objects, preventing false voice responses.

An image recognition device evaluates edge directions by assigning points based on deviation amounts to extract vehicle number plate regions.

Post-shock anti-tachycardia pacing pulses condition myocardium, enabling lower-energy shocks that shrink device weight and improve portability.

Calibrates 3D printer optical projection systems using captured calibration plate images to align coordinate matrices and correct pixel offsets.

Merges positioning and imaging of symmetric objects into one event using preliminary location data, eliminating separate registration steps.

A video window detector identifies displayed image edges through iterative region evaluation to isolate actual content areas.

U-Net architectures determine wrapping indexes from pre-processed inputs to extend unambiguous range beyond modulation frequency limits.

A vehicle object tracking method divides front-view images into sub-images to isolate target regions for recognition.

Interactive region coloring system adjusts brush size and position based on distance and direction values from outlines.

A control system switches recording formats based on detected emotion intensity.

Hierarchical landmark detection balances processing speed and localization accuracy in quasi-real-time M-mode echocardiogram analysis.

A white light apparatus determines surface roughness by converting spectral images into CIE XYZ tristimulus values and generating color space histogram distributions.

A base station controller processes vehicle travel route data using machine learning to detect obstacles, reducing individual vehicle processing loads.

A movable image capture device adjusts its position along a guide mechanism to maintain a fixed working distance from article surfaces.

A video acquisition unit and object detection processing unit acquire first images to specify target objects within wide area monitoring.

A system uses neural networks to identify visual elements in captured images and generate executable integration process flow models.

Automated image processing extracts on-site item details, reducing manual data entry time.

A face detection method calculates the central location of a face by averaging horizontal edge data extracted from captured images.

A single chamber enables tissue processing, imaging, and wax embedding without manual manipulation.

A convolutional neural network processes input sequences by generating a sampling grid from past output data to extract temporal dependencies.

Imaging unit compares pre and post event images to resolve insufficient photoelectric sensor accuracy.

A portable electronic device performs self-testing by generating and comparing two sets of results using its own processing unit and display screen.

A mobile camera system captures environmental visual cues to determine device orientation for precise directional guidance.

Optical calibration devices adjust measurement positions for accuracy while eliminating tire damage from direct contact.

Camera system calculates surface flow velocity using natural fluid patterns, removing the need for external tracers or reference objects.