Image Enhancement TRIZ Cases

Low-cost monocular cameras and geometric algorithms estimate 3D surroundings for bicycle collision alerts without LIDAR or RADAR.

Image-based zone and obstacle masking places photovoltaic panels on usable territory segments for more realistic solar production estimates.

Historical vehicle-obstacle interactions and planned vehicle motion improve future obstacle trajectory prediction for safer path planning.

A focus index from local phase coherence maps corrects lithography metrology data, reducing focus and dose-related errors in CD and overlay maps.

Stereo images and radar position data are cross-checked to filter candidate bounding boxes, improving object detection and risk alerts.

Partitioned warping and stitching reduce fisheye distortion in autonomous vehicle images, improving real-time object detection accuracy.

Lidar range images and binary classification automate pose validation, reducing false positives and human localization errors.

Real-time vehicle motion data drives an AR artificial horizon that aligns visual and inner-ear cues to reduce motion sickness.

Real-time light on/off pattern analysis varies anti-glare margin width to cut glare on curves without reducing straight-road visibility.

Selective electronic horizon packets cut map and sensor data load while preserving accurate vehicle localization and maneuver planning.

X-ray screening removes lithium-ion batteries before grinding in lead-acid recycling, reducing explosion and chemical hazards.

Polarimetric imaging detects PV module defects under prevailing light without power interruption, enabling faster and lower-cost inspection.

Using CD-SEM scans at two tilt angles, this case estimates wafer feature height and sidewall angle more accurately without reference structures.

Camera and biometric sensing align in-cabin displays to head and gaze position while adding navigation overlays and access authorization.

Transform-based signal processing removes secondary-electron cross-talk in multi-beam inspection, improving image fidelity and reducing false defects.

Infrared emissivity checks after plasma cleaning identify residual oxide before fluxless chip bonding, improving connection reliability.

Sensor data is turned into a road quality index so route guidance can avoid potholes and rough roads while improving real-time driver assistance.

Defect-aware image restoration and alignment improve charged particle wafer inspection when multiple defects distort reference matching.

Vertically spaced cabin-mounted stereo cameras expand side and rear visibility around trailers while improving low-light object detection.

Correlated flow-path observation and substrate-edge imaging pinpoint liquid supply abnormalities behind splashes and roughness.

Image-based comparison of track belt lugs and belt geometry estimates wear and remaining service life to avoid premature replacement.

Vehicle sensors identify scene features so drivers can calibrate HUD image placement in situ without fixtures or physical targets.

Constant-size marker overlays keep imaging and analysis positions visible across SEM magnification changes, preserving sample context and accuracy.

Video and environmental sensing predict infant behavior signs and adjust driver alerts to reduce stress without distracting from the road.

Calibration frames from a rear camera let the ECU map trailer edges, locate the hitch ball, and detect jack-knife angles more accurately.

Shadow-based light source detection identifies backlight in vehicle surround-view images and removes light bleed areas to improve obstacle visibility.

Dense disparity mapping and semantic segmentation turn stereo road images into real-time topography warnings for smoother, safer driving.

When vehicle vibration skews camera height or angle, lane-width feedback corrects image scale to improve road and curvature accuracy.

Machine-learned detection, depth estimation, and background filling remove fisheye image obstructions to create a clearer vehicle bowl view.

By comparing wet and dry coating widths at the same position, this case improves electrode spray correction accuracy and speed.

Dynamic projection planes keep surrounding vehicles visible in stitched camera views while avoiding double images and joint distortion.

On-the-fly calibration uses assisting vehicles or landmarks to keep truck sensors and trailer positioning accurate without stopping.

Optical-flow calibration aligns different camera views through epipolar constraints, cutting pixel-matching load and improving 3D reconstruction.

Arbitrary vehicle and trailer cameras are pose-detected and stitched into one contiguous surround view to cut blind spots during towing.

Map images are grouped by capture conditions and prioritized by similarity to cut matching time while improving autonomous vehicle positioning accuracy.

Predicted vehicle motion shifts captured camera images before display, preserving a clear window-like view for navigation and obstacle avoidance.

Candidate trajectories are screened with segment lines and object bounding boxes to predict collisions quickly and revise self-driving paths.

Aggregated point clouds validate pitch, roll, yaw, and translation drift between vehicle LIDARs, enabling online recalibration.

Angle and dimension calculations replace trial-and-error trailer leveling by guiding exact tongue and wheel height adjustments on uneven ground.

Sequence-to-sequence attention tracking links objects across frames with less tuning, lower compute load, and stronger robustness to detection errors.

Raw sensor color sampling cuts image data to one-third and skips de-mosaicing to speed autonomous vehicle object detection.

Automatic feature extraction links multivariate plots to corresponding MS images, reducing user burden in differential analysis.

Multiple spaced laser emitters compare distance readings to detect retroreflector glare and discard unreliable ToF sensor data.

Self-supervised depth, pose, and photometric loss update camera intrinsics from image sequences, enabling automatic rectification without manual calibration.

Two camera-detected trailer reference structures compensate for pitch distortion, improving yaw and pitch orientation accuracy.

Image quality is normalized to a moderate level so charged particle inspection networks keep segmentation stable without retraining.

Image-based curtain profile classification flags semiconductor liquid dispensing errors early, reducing false positives and wafer damage.

Multiple independent Kalman filters isolate GPS or lane-marker failures to keep vehicle state estimation stable for steering and speed control.