Image Analysis TRIZ Cases

Selective illumination and sensor-data fusion improve low-quality vehicle sensing regions, reducing uncertainty in surroundings models.

Road reference lines and chart images let vehicles verify camera resolution during driving and adjust automated driving levels when quality drops.

Multi-angle imaging detects overlapping battery sheets during conveyor transport, preventing sheet damage and stack-process faults.

A high-rate point camera paired with a lower-rate ID camera cuts processing load while preserving accurate vehicle environment perception.

Multiple camera views detect overlapping battery sheets on a conveyor, enabling alarms or transport stops to prevent defects and equipment damage.

A character replacement schema corrects ambiguous plate reads, enabling accurate vehicle profile lookup and smoother automated service flow.

Parallel road edges and stored feature ratios help estimate the vehicle lane boundary when markings are obscured or absent at intersections.

Coordinates manufacturing messages into defect analysis queues so AI and assisting devices can identify defect type, location, and size faster.

Updates software by processing unit and validates it first in lower-risk vehicles to speed deployment while protecting automated driving safety.

Encoded tree, site, and post-planting image patches are compared to verify that a specific tree was planted in the intended environment.

Roadway protolanes group similar lane segments so autonomous vehicle intent can be tested with less redundancy while preserving geonet coverage.

Detecting the repeat length in stranded wire images keeps segmented inspection regions pattern-aligned and avoids false abnormal judgments.

Laser and image-based inspection checks electrode assembly alignment, miswinding, diameter, and volume without destructive battery teardown.

Spike indentations in a test film reveal local pressure variation, enabling press calibration for more uniform flip-chip bonding.

Laser and image-based inspection detects miswinding, alignment, diameter, and volume defects in electrode assemblies without destructive battery teardown.

Compares verification values of displayed and stored dashboard icons to catch incorrect status images and improve driving safety.

Disable-state input triggers direct switching between camera and basic screens, avoiding repeated button presses on work machines.

Oblique collimated light and a DOF camera measure TGV via waist depth without filler materials, cutting inspection time, cost, and substrate damage.

Dual DOF cameras and collimated light inspect through-glass vias faster than X-ray or microscope methods, without filler material or substrate damage.

Location-matched comparison of live and historical vehicle sensor data enables in-vehicle condition checks without sensor removal.

Map and group parameters refine sparse LiDAR data to determine vehicle front-back orientation more accurately, especially for static or occluded objects.

Environmental sensors detect a parallel-parked trailer and clear space to suggest coupling positions that simplify maneuvers in tight roadside spaces.

Distance-based feature point selection keeps more detail for nearby objects, cutting image processing load while preserving vehicle detection accuracy.

Position feedback and beam steering correct sample-stage deviations, enabling precise desorption scanning and finer mass spectrometry imaging.

Odometry-guided fusion of image and point-cloud data helps detect moving objects in crowded scenes with lower compute and memory use.

Predicted hull trajectory from steering angle and trailer position helps operators load marine vessels onto trailers more accurately.

Face-image luminance tracking detects polarized sunglasses so a vehicle display can adjust image luminance or polarization for clearer HUD viewing.

A reference mark and feedback-controlled adjustment keep a headlamp camera aligned despite vibration and tolerance drift.

Filtered map data and segmented LiDAR road edges improve curved-road positioning accuracy while supporting stable vehicle control.

Local ROI quality metrics such as intensity and size contrast let vehicle functions adapt to difficult sensor regions for more reliable detection.

Weather data guides frame processing to remove precipitation pixels from vehicle camera imagery, improving visibility for control actions.

A fixed fisheye camera is digitally re-projected to follow articulated worktool movement, preserving visibility and correcting distortion.

A grid-based CNN detects lane keypoints, filters low-confidence candidates, and reconstructs 3D lanes on curved, merging, and dividing roads.

A switchable detection restraint with on-screen state display reduces bothersome work machine alerts while preserving operator awareness of monitoring status.

Dual scanning of opaque and transparent seal layers builds 3D data for accurate pouch battery thickness measurement on curved surfaces.

Image pre-processing and semantic segmentation identify opaque and translucent lens contaminants, enabling auto-cleaning or alerts for autonomous driving cameras.

Multiple video frames and server-side OCR help recover license plate characters when vehicle motion blur makes onboard recognition unreliable.

Camera-based cabin monitoring identifies unsecured objects, assesses movement risk, and warns occupants before braking or turns make them hazardous.

Optical color imaging replaces manual checks and pressure sensing to verify two-component resin mixing in battery module injection in real time.

When a second camera detects an object outside the main shovel view, the display adds an alert so the operator can identify nearby hazards.

Multi-sensor fusion uses LIDAR, camera, and radar tracks to correct exhaust- and weather-driven position errors in vehicle object recognition.

RIS reflections fused with GPS through an extended Kalman filter improve drone positioning accuracy and reliability in urban multipath conditions.

A headlamp camera tracks an integrated reference mark and auto-adjusts orientation to prevent calibration drift and keep obstacle detection aligned.

Bidirectional symmetric SEM scanning reduces charging and photoresist damage while improving semiconductor overlay measurement accuracy.

Simultaneous zero-order and higher-order X-ray detection improves 3D semiconductor metrology accuracy, throughput, and parameter separation.

Image-based ADB control adds a vehicle-width margin and detects light-blocking regions to reduce glare while improving front vehicle positioning.

A rear-seat camera and facial-expression overlay let drivers monitor passengers on the mirror display without looking away from the road.

Video-based pedal tracking records brake and accelerator intensity from pedal position, improving accident analysis beyond binary EDR data.

A transparent disc isolates the camera while compressed air cleans mirrors and the disc to keep cable tip inspection reliable.

Separate image pickup units run at different frame rates so moving objects can be detected quickly while stereo disparity still measures distance.

Facial-expression classification links image data to emotion identifiers, enabling extraction and distribution of characteristic video scenes.

Exterior contour data is replaced while internal volume data is preserved, enabling anonymous medical images for machine learning.

Aligned geometry and texture atlases improve 6 DoF immersive image reconstruction while limiting packing and merging overhead.

Multiple image sensors, cylindrical mapping, and runtime calibration improve panorama video stitching while reducing parallax and sync errors.

Parallel GPU shader work groups decode compressed texture blocks directly, raising image decoding speed while reducing CPU resource use.

Excluded-volume comparison removes cheeks, tongue, and instrument surfaces from sub-scans to improve rigid dental 3D model accuracy.

Occlusion-aware AR placement anchors virtual objects to physical surfaces, improving display stability while reducing rendering load and power use.

An off-axis parabolic mirror keeps the imaging range fixed while changing convergence angle, improving distance resolution without extra tracking time.

Oblique patterned illumination and a multi-slit optical element capture glossy or transparent surface shape with less noise and higher inclination sensitivity.

Adaptive photometry switches between whole-image and highlight-region luminance to preserve bright-area gradation without darkening other regions.

Registers intraoperative images with instrument shape data to update target location and improve navigation accuracy in minimally invasive procedures.

Ambient-corrected electro-optical pixel data is condensed into fast kinematic constructs to detect and classify space objects under bandwidth limits.

Offline distortion training and feature transfer preserve 3D recognition accuracy under camera changes without real-time correction delays.

Depth maps are corrected using visual comfort and image context to reduce 3D viewing fatigue without losing stereoscopic effect.

AR overlays standard X-ray images and 3D cargo models on live scans to reduce interpretation difficulty and improve contraband detection.

A curved enclosed cover equalizes reflected light paths for accurate ToF phase calibration while blocking stray light between nearby modules.

Analytical curve inflation and pixel coverage blending preserve sub-pixel hairs while avoiding costly oversampling in real-time rendering.

AI body measurement, designer verification, and unified messaging streamline custom fashion orders with secure transactions and accurate sizing.

Automated wanted/unwanted object segmentation speeds 3D façade orthoimage creation while preserving accurate mapping areas and features.

Reference-angle alignment normalizes local features across source and target image domains, improving fine-grained classification with limited training data.

Grouping physically connected and logically linked virtual objects into atomic streaming sets improves rendering accuracy, join times, and memory use.

Clinical information and symptom inputs drive ML-based scanning parameter selection, reducing manual setup time and improving scan consistency.

Rotating each lyophilized bead under lateral lighting and telecentric imaging enables 3D defect inspection with fewer blind spots and lower system complexity.

Trace-based cluster matching links detections across sensors and time points to cut ghost objects, duplicates, and missed vehicle tracking.

Distance estimation and feature matching identify who reaches the gate next, enabling smoother face-authenticated access for registered individuals.

A sensor-based kinematic chain aligns planned orthopedic actions to real tool motion without optical markers, occlusion issues, or ionizing radiation.

Temporal tracking and ROI aggregation improve polyp video detection by raising sensitivity and specificity while limiting false positives.

Recursive mask extraction isolates nested objects in video frames, improving automatic labeling accuracy while reducing manual effort.

Lower-resolution XR images are streamed from an external computer and upscaled on the XR device to cut bandwidth and compute load.

Periodic subject detection and interval-based tracking raise live view update frequency while limiting processing time and load.

Progressive seat-neighbor face search narrows venue-wide matching to identify abnormal attendees faster with lower computational load.

3D LIDAR and simulated aircraft imaging improve docking accuracy in poor visibility and along curved centerlines.

A buoyant probe carried by an ROV or AUV inspects hydro turbine runners underwater, finding cracks and cavitation without dewatering downtime.

Event history and live classification metadata guide comment timing and content to avoid monotonous automated commentary.

A movable-mirror palm imaging setup targets the hand across varying distances, enabling low-friction biometric identification without full-FOV capture.

Depth differences between real and virtual scenes drive pixel opacity, smoothing AR layer transitions and improving immersion.

Ego-motion-compensated voxel clustering estimates dynamic object velocity from monocular video while avoiding ghosting and depth sensor cost.

Channel-specific disparity calibration moves the lens to sharpen the green channel and improve focus accuracy under chromatic aberration.

Body-segment geometric models detect and correct clipping during digital human action transfer, improving realism and real-time response.

Control maps and text prompts guide synthetic driving images to stay realistic and diverse, improving autonomous vehicle perception training.

Patient-specific 3D brain models estimate real-time LITT temperature and tissue damage without MR thermography, expanding use in standard ORs.

Pre-held image groups, metadata, and camera simulation cut manual dataset collection while improving AI image fit for each use case.

Markerless object entry detection uses point clouds, motion vectors, and object regions to improve convenience and detection accuracy.

Gradient effects vary by distance from displayed content to remove harsh boundaries, preserve visibility, and avoid full-image pre-rendering.

Thread-local HMVP tables improve parallel video decoding speed and motion vector prediction while keeping memory and complexity manageable.

Lateral and end-face image processing identifies heterogeneous multicore fiber cores without marker elements, improving splicing accuracy and cost.

Multiple cameras are mapped into a common 3D coordinate space to improve head tracking precision and keep VR viewpoints responsive.

By tracking participant FOV direction, hold time, and overlap, the XR server triggers natural actions on virtual objects.

Manifold estimation and source-to-target data generation create realistic 3D deformations for sparse classes, improving recognition accuracy.

A device estimates user node coordinates from images to calculate time-series feature vectors connecting the trunk and head for action recognition.

A dimensioning device selects algorithms via sensor data to ensure accurate measurements.

Euclidean distance transforms and skeleton pruning remove false alarms caused by playing field lines, improving detection accuracy in soccer broadcasts.