Image Enhancement TRIZ Cases

Shared pixel groups use different exposure times and frame rates to detect motion and capture high-quality images without extra sensor hardware.

Relative luminance contrast identifies glare regions in vehicle sensor images, avoiding complex calibration and 3D object sizing.

Fusing imagery, radar, sonar, and GNSS, this case turns fragmented marine sensor views into segmented water maps and clearer range charts.

A chromatic aberration enhancement component creates dual focal depths, enabling single-capture overlay measurement of marks at different levels.

Local image analysis flags vehicle cabin abnormalities quickly, while the cloud stores results and key images for reliable notification.

Optical flow and geometric constraint checks separate ego-motion from true object motion, improving fast obstacle detection for path planning.

Pitch-corrected horizon and lane geometry let a vehicle camera estimate object distance and size accurately even when the camera is tilted.

Optical comparison of lead frame images detects foreign objects before molding, preventing mold damage and reducing manual inspection.

Independent front and side sensors verify traffic light states to prevent missed detections and unsafe autonomous vehicle decisions.

Image-based key point detection and rotation matrices estimate each parking space slope, improving autonomous parking on sloping roads.

A UAV-placed frame stabilizes X-ray inspection on powerlines, improving image quality and defect detection while reducing helicopter and bucket-truck risk.

Expanded bounding boxes and trajectory prediction help automated vehicles detect drifting traffic and bias away before lane encroachment.

Vision-based height and angle detection guides loader return-to-position and implement alignment, cutting trial-and-error and operator stress.

Alternating x-ray energy levels and focal spot positions improves CT material density differentiation while reducing aliasing and preserving resolution.

Inclined sidewalls with a reflective film create bright and dark ring images, enabling fast online defect detection in recessed structures.

Temporal and light-source attribute data predict when road markings become obscured, supporting map updates and driver alerts.

Camera-based pixel classification and constraint modeling localize seatbelts in real time to detect improper wear and tampering.

Automatic rib-position estimation moves a backrest support member to fit different physiques, improving roll suppression and ride comfort.

Separating aggregated from non-aggregated point-cloud obstacles improves matching accuracy and tracking reliability in dense traffic.

LiDAR guides training, but deployment uses only camera images to detect objects and predict dense depth for lower-cost autonomous driving.

Camera triangulation adds depth overlays to panoramic vehicle surround views, correcting raised-object distortion without extra sensors.

Voice and facial verification on a UAV cuts search time while locating and tracking persons of interest across wide areas.

A navigation camera and trained model identify samples on a fixture and map stage coordinates to cut manual tracking time in microscopy.

Binocular vision and adaptive edge extraction enable one-time wafer center and notch pre-alignment with higher precision and less mechanism complexity.

Bird's-eye-view features train a neural network to generate accurate lane polylines usable for vehicle control without extra processing.

Road line feature points are projected into world coordinates to correct pitch, roll, and yaw drift during vehicle motion.

Segmented body and wheel masks preserve visible ground regions while hiding obstructive vehicle parts in surround-view images.

Optical sidewall imaging and mould drawing comparison cut tyre symbol checks to about 5 minutes while catching fine marking errors.

Landmark detection in an articulated rearview mirror camera infers orientation for consistent occupant tracking and image capture.

An outward cathode extension avoids signal-wire overlap, reducing stress concentration, cracks, resistance, and parasitic capacitance.

Real-time z-axis, imaging, and ultrasonic impedance checks detect semiconductor cracks during wire bonding to prevent failures and improve yield.

Road elevation signatures and sparse trajectory maps cut storage and computation while preserving autonomous vehicle navigation accuracy.

A side-mounted camera uses a low-distortion high-resolution zone plus wide-angle peripheral coverage to reduce camera count and improve reversing visibility.

Image and depth sensing estimate occupant 6DOF, mass, and height to pre-adjust airbags and seatbelts for more accurate crash protection.

Separating diffraction orders from roughness-driven background noise improves X-ray metrology accuracy for patterned structures.

A dual-unit aspheric optical layout widens vehicle camera coverage while extending central focal length for sharper distant-object imaging.

Overlapping vehicle cameras generate position-based correction data to maintain accurate distance and direction sensing despite vibration and mounting shifts.

Visible light projected below a vehicle side detects wet or frozen road surfaces while limiting discomfort to drivers and bystanders.

Graph-based generative memory preserves past traffic interactions to reduce catastrophic forgetting in continual multi-agent trajectory prediction.

Current and past trip sensor data are combined with nearby vehicle inputs to deliver personalized route and hazard recommendations in autonomous driving.

A two-stage grid map preserves roadside object boundary clarity to extract drivable road surface regions with lower processing load.

Masked overhead difference images isolate object contact lines and width, improving vehicle-side 3D detection when shadows obscure nearby objects.

When an uphill gradient is detected, camera distance data is down-weighted so radar-based target positioning stays accurate for vehicle control.

Bitline modulation creates periodic heat in backside power ICs, enabling lock-in thermography to pinpoint hidden memory defects through metal layers.

Interaction-aware trajectory prediction uses object relationships and traffic context to improve autonomous vehicle motion planning and safety.

Camera-based face and seat-row detection identifies which vehicle seat a passenger occupies, improving airbag deployment accuracy.

Compressed object data from trailer-mounted sensors enables obstacle and load monitoring without complex vehicle wiring during reversing.

Yaw error and aligned IoU losses train object detectors to produce more precise bounding boxes with lower tracking complexity.