Image Analysis TRIZ Cases

Long-range sensing and incremental ALS feature updates refine aircraft heading estimates in low visibility during approach and landing.

AI segments the placenta and cervix in handheld ultrasound scans to measure internal OS distance and flag low-lying placenta.

Paired body-part sums and differences help pose models distinguish left-right actions with less training data and lower processing load.

Two light sheets with distinct wavelength or polarization simplify 3D particle tracking in moving fluids while reducing computation.

Optical motion correlation links each user to a handheld or wearable object despite overlapping visual data, enabling personalized attraction responses.

Deep learning extracts, segments, and classifies slide contours to skip blank regions and improve digital pathology scanning efficiency.

A deep learning butterfly-view separates left and right spinal hardware in voxel images, reducing superimposition and inspection time.

GIS-based FOV calculation helps movable surveillance cameras map unobscured views accurately and makes video stream search more efficient.

Convex hull regions and a principal axis split feature regions to separate objects from shadows under dark or backlit imaging.

Segmented feature extraction from before and after sports events improves scene-type estimation while avoiding RNN gradient vanishing.

Geofenced, weight-based capture requests guide nearby users to fill missing angles and improve volumetric video coverage of moving subjects.

Classifying newborn fingerprint pattern types before verification improves identification accuracy when postpartum biometric data quality is poor.

Depth-map-guided background selection blends digital holograms with 2D or 3D imagery to improve clarity, immersion, and viewing comfort.

Frames are split across two analysis units, then motion data and detection results are fed back to refine object detection accuracy.

Real-time feedback on object position, surface coverage, and reflection artifacts helps mobile depth sensing capture dimensions more accurately.

Image-based attribute extraction and reference population comparison make property typicality scoring more objective, accurate, and efficient.

Image recognition and proximity checks identify the headphones a user is wearing, so audio goes to the intended wireless output.

Backend surface detection and movement-based AR updates cut latency and battery use while supporting hands-free tasks on wearable displays.

Noise-only charge acquisition is subtracted from integrated TOF pixel charges to improve distance accuracy under charge interference.

Image capture, OCR, and neural segmentation validate transfer data in real time while keeping sensitive instrument data non-human readable.

Real-object pose and sound-source detection let AR objects react with matched visuals and 3D audio, improving authenticity and immersion.

Real-time mark hole imaging adjusts labeling delay to correct roller-to-pole-piece motion and improve defective pole piece positioning.

Automatic alignment of heart cavity area curves synchronizes two ultrasound views, cutting manual frame selection time for ejection fraction.

Triangular patch segmentation and pixel grouping cut 3D rendering complexity while preserving real-time gradient layers and surface detail.

Real-time image sonification and adaptive GUI changes help authenticate users and surroundings to reduce eavesdropping during data transfer.

Measured test-mold cavity volumes are used to pre-correct imprint mold design data, reducing pattern volume errors on substrates.

Asynchronous event streams trigger frame capture only when scene changes occur, cutting imaging load and power in fast, variable lighting.

Quantum efficiency curve mapping adapts white balance correction from RGGB references to RCCG sensors, reducing reddish or purplish casts.

Incomplete 3D joint data is completed by generating a posture image, recognizing missing joints, and avoiding glove-based action libraries.

A center-to-edge brightness gradient suppresses secondary reflections, improving projection surface edge detection and image correction.

Multiple object views are pre-captured during camera motion, then switched by user-display position to enable intuitive 3D angle viewing.

A matched verification structure checks camera imaging drift against preset geometry so visual inspection accuracy stays stable over long runs.

A patterned retroreflective background lets a barcode reader detect attached or missing caps across container heights without sensor changes.

Hierarchical model, part, and face descriptors improve 3D model matching, ranking, and part-based search across large datasets.

Automatic 3D mapping volume selection and object segmentation reduce manual façade orthoimage work while improving accuracy on complex surfaces.

Torso reference points and torso-plane rotation classify out-of-position vehicle occupants with lower computation than full image comparison.

Integrated image sensing on a movable appliance door detects displacement without separate sensors, cutting hardware complexity and cost.

Trace-based cluster association links detections across vehicle sensors to reduce ghost objects, duplicate tracks, and information loss.

A foldable device's angle replaces inaccurate motion sensing, enabling smoother virtual object control and more precise rendering in wearable displays.

3D depth mapping tracks pedestrian trajectories so automatic doors open for true approach, reducing energy loss, noise, and wear.

When camera heat shifts intrinsic parameters, border-region feature matching restores calibration accuracy and improves VI-SLAM pose estimation.

Cross-sectional area change curves align heart ultrasound views and auto-update matching frames to speed ejection fraction calculation.

Motion and elbow-wrist detection isolate the hand-side region to extract held objects more accurately from overhead images.

A spaced collimator with non-uniform apertures lets multiple openings illuminate each detector area, improving SPECT resolution without losing sensitivity.

Rotating diffractive moiré lenses adjust focal length without axial lens travel, cutting imaging module thickness while preserving focus precision.

Perimeter object icons replace full-screen touch selection, speeding one-handed zoom, focus, and exposure control for overlapping or moving subjects.

AI refocuses foreground and background in spatial video before SBS synthesis, enabling clear glasses-free 3D on regular displays.

A human body model and imaging geometry generate predicted X-ray views, helping operators correct positioning without extra radiation.

Depth blending splits depth maps into component layers and focal planes, improving 3D coding flexibility, viewpoint support, and transmission efficiency.

Users define virtual boundaries in physical rooms to generate stored 3D contextual volumes for immersive media sharing in spatial computing.