Image Analysis TRIZ Cases

Captured-image comparison with reference images flags similar work targets before errors occur, improving identification accuracy.

Camera, LIDAR, and radar fusion improves aircraft docking accuracy on curved approaches and in poor weather while reducing failed dockings.

Camera-fed neural network classification verifies tools, extensions, and positioning to reduce wrong tool selection in assembly.

Ground reflectivity and height are fused in LiDAR image registration to improve vehicle pose estimation on highways, bridges, and tunnels.

Stitched image tiles through a shared lens let laser markers locate large workpieces accurately without specialized fixtures or manual alignment.

Grouping moving targets around a primary target helps a UAV maintain accurate, efficient tracking in dynamic surveillance scenes.

Precomputed and interpolated dose maps guide patient alignment in radiotherapy, cutting computation time while preserving dose accuracy.

Image-based environment mapping links 3D object locations with voice and gesture input to resolve referenced entities more accurately.

Identification runs only when capture lighting matches learning-image illumination, improving performer tracking accuracy under changing stage lights.

Surface scanning and image resolution analysis correct radio altitude errors, enabling safer UAV routing in low-visibility areas.

Object variation and proximity analysis filters unstable features during sensor-based pose measurement to improve localization accuracy.

Microphone-based audio analysis detects roasting stage thresholds in real time, reducing manual listening and enabling automatic bean offloading.

Optical imaging and machine learning detect and classify turbine ice in real time, triggering de-icing only when needed.

A mobile camera maps VLC or RF device identifiers to fixture locations, reducing manual lighting commissioning time and address errors.

Distinct optical codes across multiple channels improve 3D localization precision without higher pixel density or larger sensor baselines.

Sensors detect total crew incapacitation, then an electronic standby pilot routes the aircraft and uses autopilot for safe landing.

Uses adjacent-hole optical sensing to inspect installed blind fasteners in confined spaces and detect retention defects or misalignment.

A dual-perimeter light pattern lets a vehicle image sensor guide VTOL landing precisely without RF jamming, spoofing, or heavy GBAS hardware.

Scene images, object recognition, and scene-type matching let connected devices adapt automatically to complex environments without user input.

Gradient masks and frame-based filtering track multiple weld-pool beams in real time, including crossing paths and pulsing motion.

Image-based event models track object presence in assembly steps, cutting manual tagging effort while improving delay and anomaly alerts.

Synchronized point clouds and images build a spatial map to localize vehicles and load targets for real-time path planning in uncertain environments.

Overlaying captured images with database objects improves usage object classification speed and accuracy while reducing comparison errors.

Optical inspection captures tube-end and wall images, adds identifiers, and rejects worn or flawed tubes before production.

Multi-resolution neural segmentation detects lane markings in real time, then fits lane boundaries with lower compute, energy, and bandwidth use.

A 3D crane model with multi-angle route views helps operators confirm drone inspection paths accurately around ropes and booms.

Overlapping coded optical channels use baseline spacing and array weighting to improve 3D localization precision with lower size, weight, and power.

Normal-map cutting path visualization captures incident depth and angle to render realistic cuts with lower computation in simulation.

Real-time image coverage checks adjust flight lines or camera orientation to avoid defective aerial survey imagery and retake flights.

Pretrained behavior recognition estimates process time from operator actions, cutting annotation work, computing load, and factory rollout cost.

A movable camera tracks a reference object during joint motion to detect failed movement and flag maintenance needs in autonomous multibody systems.

Infrared and LIDAR data from a UAV are fused into emergency scene maps that help first responders assess fires, victims, and hazards more safely.

Computer vision and AI replace manual fastener inspection with parallel measurement, automated QA records, and precision up to 0.01 mm.

Production data and inspection feedback are buffered to auto-retrain classifiers for new fault categories without manual intervention.

A multi-scale neural network detects lane markings and fits lane boundaries in real time while reducing compute, energy, and bandwidth use.

Visual pallet guidance uses package data, camera feedback, and laser cues to build stable stacks and reduce warehouse restacking delays.

State-based sensor selection uses cameras or LiDAR by vehicle appearance stage to keep pose detection accurate while cutting preprocessing load and cost.

Camera images of port-mounted signs let a UAV detect airframe orientation accurately even when geomagnetic disturbance weakens magnetic sensors.

A mobile camera links VLC or RF device identifiers to floor plan locations, cutting manual lighting control commissioning effort and time.

Combining maps from different time zones and selecting the best synthetic candidate helps maintain localization accuracy under changing sunlight.

Dynamic pass-reference updates help inspection judgments adapt to environmental changes while reducing false positives and false negatives.

Camera images estimate ship pitch cycles in advance, enabling throttle control that reduces pitching and eases manual adjustment.

A gimbal-mounted camera uses image feedback to inspect pre-bent wind turbine blades with precise defect location and less downtime.

A UAV tracks multiple moving targets by anchoring on a primary target and controlling flight around a spatially defined target group.

Continuous streaming of video, audio, and vehicle data enables remote incident access without physical retrieval from onboard recorders.

Image-based runway detection checks whether the flight path will reach the touchdown zone, enabling landing or go-around without ILS or GNSS.

Image-based runway feature detection checks FPV or FPP against the touchdown zone to support landing or go-around without ILS or GNSS.

Multi-resolution image processing and pixel grouping help detect true glare sources and avoid unnecessary window treatment adjustments.

Using mobile image recognition, this case identifies maintenance items on a property and generates location-based compliance and service reports.

Shadow calculations at selected timestamps guide screen geometry and setup, improving comfort and energy efficiency in automated shading.

Dynamic screen adaptation resolves security complexity trade-offs by filtering job lists based on authentication status.

A mobile application measures eye refraction using Vernier targets and automated distance detection.

Calculates heatmap transition boundaries using logarithmic base values to resolve skewed data detectability issues.

A light structuring device projects multiple focused rings to capture cross-sectional profiles of an object.

Information processing apparatus generates structured metadata from 3D model data to support digital content applications.

A region growing algorithm with variable erosion and dilation thresholds segments medical objects to determine precise three-dimensional volumes.

An image processing apparatus trims specific player regions from full court shots to enable accurate action recognition in low resolution.

Records initial slices to determine a reference figure, then displaces subsequent images for alignment, reducing motion artifacts in 3D registration.

A semiconductor processor evaluates facial regions using classifiers to generate emotion scores from video streams.

A surfactant test kit measures concentration by depositing a sample on a substrate and processing an image to determine percentage fill.

A 3D measurement apparatus weights geometric edges by reliability to calculate object position and orientation.

A fault detection circuit uses a multiple input signature register to compare frame signatures against reference values.

A lane identification system generates multi-virtual lanes from segmented road markings to determine vehicle position.

A detection device calculates evaluation values along a secondary curve to set precise eyelid reference positions.

Cascade refinement and background complement modules resolve the trade-off between segmentation precision and system complexity in dynamic video scenes.

A two-dimensional code recognition system extracts fixed feature points from main positioning blocks to determine spatial location information.

Pre-compression dilation of depth data prevents jagged edge artefacts during viewpoint changes in 3D video systems.

Multiple emitter rotation positions enable submillimeter extrinsic calibration accuracy, resolving precision limits at large standoff distances.

A sample acquisition system uses image analysis to verify self-blood collection steps.

Opposing antenna coils actuate simultaneously to maximize field line overlap with a transponder coil.

A method selects image regions to find corresponding areas using similarity functions for alignment.

A system extracts objects from images and renders them as three-dimensional items for virtual spaces.

Dynamic color matching aligns supplemental content with primary visuals, resolving aesthetic clashes that reduce user engagement.

A hybrid visual communication system transmits 3D mesh model updates to reconstruct user likeness and motion on remote displays.

Optimization module slices predictions by vector values to determine specific metrics.

Dynamic weighting of camera and microphone inputs resolves low precision in noisy environments, improving target sound extraction reliability.

Server systems manage machine learning complexity to generate personalized narrative images, enabling user editing and augmentation.

A light field display system generates microcell array images by superimposing recorded slice images processed at different depth positions.

A learning model processes operation field images to distinctively recognize blood vessels during laparoscopic surgery.

Notification determinator detects electrode sheet positional deviations to alert operators of potential inspection machine faults.