Image Enhancement TRIZ Cases

Inward-facing cameras match drivers to unassigned hours of service, improving duty-status record accuracy and carrier compliance.

A dynamic vision sensor flags unrecognizable regions and retunes camera exposure, focus, and white balance to recover object detection in harsh light.

CCD-guided hot pressing bonds separator edges around unit plates to prevent shifting and improve jellyroll lamination precision and yield.

Multiple cameras and detector modules fuse independent traffic light directives to reduce single-point failures in autonomous vehicle control.

Depth-updated bowl mapping shifts surround view processing to a DSP, reducing above-ground distortion and GPU load.

Fine-grained perception detects movable object parts and pose, helping control systems respond accurately to local motion such as doors or limbs.

Manual self-occlusion masks block unreliable image regions during photometric-loss training, improving multi-camera depth and ego-motion estimation.

Reference graphic data lets a video interface detect OSD character visibility loss from transmission noise or graphic controller errors.

Low-magnification screening selects promising tissue regions for high-magnification learning images, improving estimator accuracy without excessive observation time.

Front sensing and facial illumination analysis detect windshield glare and support image adjustment to keep the driver's view clear.

V2V data predicts when a lead vehicle may reveal a hidden car, triggering an AR warning timed and placed to reduce collision risk.

A relaxed stereo matching threshold is blended with monocular distance to limit blur-driven distance errors and prevent unintended acceleration.

Factory-installed shared credentials let lighting fixtures join a secure network automatically, reducing setup effort while allowing later credential updates.

Optical sensors and cameras correct wafer x-y and rotational misalignment before ion exposure, improving uniformity and reducing defects.

Offsets caution mark positions by vehicle speed and target approach direction to keep in-cabin overlays aligned with real hazards.

Non-contact 3D laser scanning maps cable damage and repair quality, enabling go/no-go decisions for high- and medium-voltage cables.

Image-based road slipperiness estimates feed a risk index and map, helping identify hazardous road areas for warnings and safety upgrades.

Layout-labeled scan data and multi-dimensional clustering separate weak wafer defects from nuisances while improving throughput and reducing rescan damage.

Blind spots under a moving vehicle are rendered in a consistent top view by updating camera parameters from roll, pitch, and motion transforms.

Integrated cameras and force sensors automate UAV airworthiness checks, cutting downtime while supporting safe beyond-line-of-sight flights.

Thermal and visual image alignment improves movement prediction for living organisms by adding heat cues to object detection models.

A front and rear lens layout with aspherical elements widens in-vehicle view to fisheye level while preserving central magnification and low distortion.

Camera-based tracking of transit door movement detects abnormal motion early, cutting sensor hardware cost and supporting planned maintenance.

CNN-based obstacle recognition uses center-point uncertainty to judge travel possibility and prevent abnormal vehicle control in bad conditions.

In-situ sensing and predictive maps anticipate crop and terrain variation so harvester settings can adjust automatically with less operator intervention.

Disparity-based row matching updates stereo camera rotation during motion, preserving long-range calibration accuracy with lower compute load.

3D eye gaze vectors map a driver's focus to cabin regions, improving attention detection and enabling timely in-vehicle safety actions.

Neural-network image analysis detects sample preparation end points despite circuit layout variation, enabling reliable automated FIB milling.

Latent-variable image statistics improve semiconductor defect detection under noise and manufacturing variation without requiring design data.

Polarimetric drone imaging improves CSP heliostat and receiver inspection by detecting soiling, alignment errors, and early defects with higher contrast.

Fiducial offset correction aligns scanner defect maps with reviewer coordinates, reducing manual inspection overhead and improving root cause analysis.

Align image and acceleration time series by detecting vehicle turning ranges, improving offline sensor synchronization for autonomous driving analysis.

Camera-based height detection compares road objects with ground clearance and warns drivers before debris becomes trapped under the vehicle.

Different clamping forces on the biasing element improve vibration damping and optical stability in compact image stabilization modules.

Roadside object positions are used to infer road direction in one radar detection, improving moving-object path prediction responsiveness and accuracy.

Distance trends across sequential images predict vehicle collisions without target classification, cutting compute load and storage needs.

Multiple X-ray paths plus distance profiling and image processing separate joint defects from fin features in high-pressure tank structures.

A dual-holder link mechanism stabilizes moving-body holding and positioning in narrow spaces even when driver size and output are reduced.

Multiple load lock cameras inspect glass and wafer substrates for cracks, stains, electrode sagging, and robot transfer misalignment.

Oblique trenches filled with dissimilar material scatter and refract light to boost sensor sensitivity while limiting pixel crosstalk.

A rear camera calibration maneuver builds a trailer template to detect collision angle limits and warn drivers before jackknife risk.

When driver gaze becomes unsafe during straight travel, image and time-of-flight sensing trigger alerts and safe-state vehicle control.

Automatic trailer calibration data lets the tractor stitch a consistent 360-degree surround view across different trailer sizes and camera layouts.

Wrist-direction-based image regions improve in-vehicle gesture recognition accuracy while reducing false triggers and processor load.

Photographing the brake wear indicator enables precise aircraft disc wear tracking without adding sensors or modifying the brake system.

When tunnel entry disrupts image sensing, the controller switches to external path data to keep travel assistance accurate.

Passive image analysis classifies scene objects, then triggers laser ranging only where needed to cut LiDAR cost, crosstalk, and exposure.

Unrectified camera images feed a neural network gamma map and selected homography to model roads accurately with lower processing time and power.

Fusing positioning data in WGS84 and applying GCJ-02 offset afterward avoids accumulated conversion errors in autonomous vehicle positioning.

A wide-angle and telephoto camera pair expands tracking area while preserving accurate identification of distant objects.