Image Enhancement TRIZ Cases

Real-time ROI tracking recenters and refocuses electron microscope views during large in-situ sample drift while limiting beam damage.

Reconstructing gaze from environmental and internal-state data improves concentration estimation accuracy while keeping the model explainable.

Electron microscope images compare exposed conductive structures and capacitor openings to detect overlay offset through a thick capping layer.

Time-series image and odometry data generate accurate 3D feature labels, cutting manual annotation for autonomous driving models.

A multi-sensor ML model fuses lidar, vision, and radar into unified detections that reduce flicker, tracking errors, and compute load.

A current comparator and replica circuit correct driver offset current in autofocus actuators, improving lens drive accuracy and image quality.

Combining camera-detected lane markings with leading vehicle traces extends road lane geometry estimation range and improves accuracy for ADAS.

Corner-point and segment-based LiDAR contours improve free-space and parking-space recognition when object shapes vary around the vehicle.

Temporal electromagnetic scattering and pulsatility analysis localize brain regions and help distinguish ischemic and hemorrhagic stroke in portable sensing.

Selective super-resolution on detected vehicle regions improves road distance estimation while limiting processing load in ADAS imaging.

Road image detection identifies potholes and cracks in real time, letting autonomous vehicles decelerate or avoid damage for safer rides.

EL image preclassification by black-spot ratio speeds solar cell defect detection while preserving accurate internal crack analysis.

Image content is split into tiles for perspective correction, reducing HUD distortion from curved optics without slowing frame rates.

A 90-degree folded light path and dual optical member actuation enable long-focal imaging in thinner devices with focus and stabilization control.

Preselected projection surfaces match obstacle patterns around a vehicle to cut surround-view processing load and reduce composite image unnaturalness.

Timestamped alignment of vehicle and road-segment data improves incident context, risk prediction, and identification of high-risk behaviors.

Rapid tail-light pulsing helps estimate ambient light and stabilize vehicle images for reliable low-light object detection.

A shelf-mounted camera with opposing securing surfaces enables continuous image-based product placement checks and faster compliance alerts.

RGB and IR sensor fusion with dynamic gain and a 3D lookup table enables true-color night vision without active illumination.

Automated photomask mark checking compares on-off data with preset patterns and corrects mismatches to improve accuracy and cut manual inspection.

A wide-view sensor flags low-confidence distant objects, then a steered narrow-view sensor refines recognition for safer vehicle control.

Closed-loop ROI tracking switches among image, stage, and holder corrections to keep electron microscope views centered and focused.

PWM and current-profile monitoring slow dialysis valve plunger motion to cut impact noise while maintaining reliable fluid flow.

A UAV captures panoramic ship images during port entry so onboard computing can predict collisions and warn the crew in real time.

Side-view cameras track cross-traffic through occlusions at intersections, estimating speed and distance without costly LiDAR or RADAR.

A reflective calibration board aligns camera and LiDAR coordinate systems despite mounting tolerances, improving obstacle verification.

Hybrid LiDAR-camera detection decorrelates closed- and open-world results to improve object segmentation in cluttered driving scenes.

Sequence codes match overhead sign positions to lane order, improving lane-specific guidance on curved roads and avoiding adjacent-lane errors.

A forward virtual viewpoint lets remote operators anticipate road changes and send timely driving cues that reduce driver response lag.

Multi-sensor control adapts wheelchair travel to user intent, posture, physiology, and surroundings for safer independent mobility.

Fusing camera images with low-resolution flash LIDAR depth data enables sharper 3D scene models with fewer motion artifacts and missing patches.

Multiple beam conditions tune image offset and gain independently of sample state, improving defect detection even without visible defects.

A unified DNN predicts multiple actor paths at once using confidence maps and vector fields, improving real-time autonomous navigation.

Chevron fiducials let FIB cross-sectioning measure slice position and thickness in real time, correcting drift and milling rate errors.

Depth-map comparison and selective sensor activation improve parked-vehicle threat detection while cutting power use.

Pre-captured images from past vehicle positions create overhead views of vacant spaces outside the camera angle or hidden by static objects.

Multiple cameras and illuminators map wafer presence, orientation, and edge profiles faster than vacuum or break-beam sensing.

Direct B-spline control point prediction replaces discrete lane point post-processing, improving 3D lane geometry accuracy and efficiency.

Combining MWIR and LWIR polarimetric images improves object-background discrimination and enhances target signatures in complex scenes.

Vertical interconnects in a stacked-chip image sensor speed pixel readout while shrinking the lateral footprint for compact cameras and phones.

Periodic self-calibration detects image reference points and corrects overlay offset to keep vehicular camera guidance aligned after misalignment.

Vehicle-mounted cameras trigger on package scan to verify delivery completion and send secure proof of delivery to the sender.

Overlapping vehicle cameras compare image luminance to detect voltage-related faults and verify ASIL-compliant functionality without extra ICs.

Inverse linescan and PSD noise subtraction recover unbiased SEM roughness measurements for lithography process monitoring and control.

Multiple modulation frequencies help time-of-flight sensors resolve ambiguous depth returns and improve obstacle detection in complex vehicle scenes.

Drive-through target arrays check camera and LiDAR sensor health, detect degradation trends, and support proactive vehicle sensor repair.

Two differently mounted cameras improve articulated vehicle angle estimation when glare, darkness, or poor image quality disrupt a single view.

Vehicle motion data predicts target position in later images, shrinking the search area for faster and accurate driver assist tracking.

Parallel sub-algorithms and heterogeneous CPU-GPU processing speed LiDAR data handling for more reliable obstacle and drivable area detection.

By mapping the trailer-obscured region, the processor inserts only the needed camera area to improve rear visibility and avoid duplicate views.