Image Analysis TRIZ Cases

A multi-instance virtual reality platform segments parallel dimensions to distribute avatars across independent spaces.

Autonomous robot collects voice and face data to maintain identification accuracy.

Constructing a 3D model from door-angle images resolves visibility of obscured items without opening the container.

A moving picture coding device derives inter-prediction information candidates from neighboring blocks and supplements the list to a designated count.

A learning device corrects deformed bounding boxes after geometric image transformation to generate accurate object detection models.

A calibration system generates a reference map to mutually register texture and depth sensors.

Fleet-based multi-view data sharing generates occlusion attributes to resolve detection precision limits caused by single-sensor blind spots.

A cascade-based boosting classifier processes depth images to detect object regions in real-time.

A raster segment caching mechanism detects similarities between consecutive frames to replace redundant payloads with motion commands.

Processor derives facility coordinates from multiple images without stereo cameras or magnification calibration.

Noise-augmented training data enables manifold mapping that captures small region features while reducing sensitivity to interference during classification.

A device clusters CNN feature maps to generate detailed identification result explanations.

An electronic device adjusts imager settings based on detected user motion to capture image data for authentication.

Optical imaging captures physical and visual characteristics of postage frankings for automated analysis.

Segmented detection elements in the housing container identify leakage without pre-identifying locations, preventing contamination.

A shape measuring device automatically adjusts measurement settings for partial regions using stereoscopic data and light reception signals.

A tire tread detection device uses a camera module and laser module to capture images and depth data simultaneously.

A time-of-flight sensor processing system predicts measurement precision using single-frame depth and grayscale data.

A laser projection system uses a camera to track projector movement and adjust mirror rotation for accurate pattern placement.

A learning device clusters local features into representative units to enable robust object detection across diverse categories.

Shallow depth of field camera detects image defocus to identify upside-down contact lenses, resolving reliability issues in automated manufacturing inspection.

An image processing apparatus selects reference frames and acquires correct answer frames to generate complementary data for machine learning.

Reorders 3D point attribute values to group similar data, reducing bitstream size and transmission time.

A rotatable three-dimensional calibration object synchronizes rotation states with image capture to determine intrinsic and extrinsic camera parameters.

Electronic devices switch locked modes based on distance from physical surfaces to manage computer-generated content display.

External facility sensors guide autonomous vehicle navigation to precise calibration positions, resolving accuracy errors from uncalibrated onboard readings.

Processor compares predicted distances with actual object distances to prevent erroneous focus control during obstruction.

An intelligent imaging device uses real-time frame-by-frame content analysis to determine shutter mechanism position and occlusion states.

A system classifies terminal devices as parent or child terminals based on direct or indirect image capture methods.

Motion detection system guides panning alignment to prevent subject blur during high-speed photography.

A method calculates edge characteristic values to identify frame pixels and scan lines for structural detection.

Associate objects with base stations and active devices to predict movement, reducing tracking delays.

Processing circuitry estimates image quality for subsequent magnetic resonance imaging sequences.

A camera system captures door lock images to determine security states without magnetic sensors.

Smartphone imaging of lateral flow assay cassettes uses a fiducial positioning card to capture diagnostic images under ambient lighting.

Iterative correlation aligns pixels from dual light intensity images, compensating for reflectivity differences and noise to resolve parallax misalignment.

An image analysis apparatus extracts text areas and excludes target objects before character recognition.

A processing apparatus computes separate identification scores for containers and products to resolve visual similarities.

Inference model selects targeted recovery processes for alignment failures, reducing sequential execution time and boosting productivity.

Adjusts gravity parameters of constrained rigid bodies to simulate natural surface sagging in virtual environments.

A method normalizes vision, radar, and lidar outputs into a common format to fuse object data.

A multi-angle illumination inspection system captures simultaneous images of embossed surfaces using oblique and direct lighting.

A monitoring camera constructs artificial intelligence models from user parameters to detect specific targets.

Viterbi algorithm matches segmented iris rings to minimize distance despite pupil dilation.

An information processing apparatus acquires height data from imaging devices to identify users requiring assistance.

A peripheral control module records scan images to calculate a pixel correspondence map for augmented reality projection.

A semantic segmentation method computes area ratios to identify dominant scene classes in images.

A q-space processing method separates coherent and incoherent motion components from magnetic resonance signals using phase and magnitude data.