Image Analysis TRIZ Cases

Probabilistic graphical models replace opaque deep learning networks to improve detection accuracy consistency and retrainability.

Cloud server assigns unique IDs to drug packages, enabling global traceability and resolving information loss during distribution.

A learning apparatus extracts sample feature quantities using dual loss functions to optimize verification accuracy.

Image processing system detects feature objects and applies augmented reality dynamic effects to enhance visual richness.

Convolutional neural network outputs 3D bounding boxes from camera images to define vehicle position and orientation.

Adaptive scanline synchronization estimates scale during digit decoding, reducing processing time while maintaining detection coverage.

Automated fruit inspection compares estimated weights from multi-angle images with actual measurements to verify pit removal.

An octree groups refined triangles into texture atlases, reducing cache memory by loading only surface voxels.

An adaptive image segmentation method selects optimal block divisions to maximize cache hits.

A system classifies image subjects by comparing facial landmarks and body contours across two time points to determine objective difference values.

A fixed-cost parallel corner detector computes comparison vectors on vector processors to identify image features efficiently.

Segmenting facial regions into patch areas allows extracting detailed features that improve accuracy despite pose variations.

A processing system extracts dominant colors from album cover images to update playlist interface rendering.

Multiple positioned light sources reduce harsh shadows in medical imaging while increasing computational complexity.

Automated tracking resolves subject identification delays by fusing wireless position data with visual detection.

A synthetic aperture radar image processing device clusters persistent scatterers to associate reflection points with map structures.

A multi-viewpoint image processing apparatus detects moving objects and determines their depths using disparity vectors from multiple cameras.

Scene segmentation enables dynamic threshold calibration for video object detection, reducing false positives and negatives across varying conditions.

A striped pattern image examination support apparatus extracts central lines and feature points from fingerprint images to facilitate ridge comparison.

A face authentication apparatus predicts similarity changes using historical data to adjust collation thresholds dynamically.

An EoT generator creates temporal representations by aggregating optical flows across different time spans to identify actions in video data.

A video monitoring system projects light onto a user to detect heart rate changes through reflected signal analysis.

A display apparatus captures surrounding images and clusters colors to generate matching backgrounds.

A computing device processes images and sensor data to identify construction hazards through automated object matching.

An automatic calibration reference pattern with equidistant characteristic patterns reduces human error and computational load during vehicle camera setup.

Invisible light projector and imaging unit capture object geometry to resolve measurement precision versus system complexity trade-offs.

Stacked image sensor layers with integrated neural network circuitry process pixel data locally, reducing bandwidth usage and latency for object detection.

Dynamic control switching on live stream interfaces adapts to user watching duration, resolving monotonous interaction modes and low activity levels.

Transforming biological data into spatial representations with selective normalization reduces computational costs while maintaining classification accuracy.

Hybrid system combines video capture with ultrasonic distance measurement to determine precise 3D controller positions without complex depth sensors.

A bounding volume hierarchy with early termination box nodes tests rays against spatial partitions to determine intersection status.

A medical robot navigation system uses a reflecting device to redirect optical radiation from patient markers to sensors.

RFID antennas detect positional data from stationary equipment tags to maintain object presence in virtual viewpoint video images.

A 3D drawing program reconstructs distal femur cartilage thickness by calculating distances between articular and cartilage surfaces extracted from bone cross sections.

A depth map engine generates reference and target images to calculate depth data using a pre-processing module.

Overlapping dual cameras resolve target position ambiguities to eliminate iterative alignment delays.

Encoding control signals into video data resolves wiring complexity in Renishaw systems.

A data processing method uses digitally reconstructed radiographs to determine treatment body part positions relative to beam arrangements.

A biometric authentication method estimates optical device geometric parameters from candidate images to verify user identity.

A vehicle warning device projects mark images onto a windshield to indicate object proximity and risk levels through variable density.

A recognition apparatus evaluates feature similarity and status coincidence to identify registered objects.

A model pattern correction unit adjusts feature points using statistical data from corresponding points to enhance object detection precision.

Detects low-level image features across video frames to identify suspicious activities through temporal tracking.

A system generates video summaries by ranking segments based on facial recognition annotation data.

A bladder ultrasound probe detects urinary flow rate and residual urine volume simultaneously using real-time ultrasonic imaging.

A text recognition device corrects character slope and magnification to enable accurate reading.

A motion encoder tracks pattern features between images to quantify multi-axis movement with a single sensor.

Mobile carrier with pre-measured markers determines camera projection parameters, eliminating time-consuming manual road marking placement.

A computing system estimates deflated lung shape using air volume data and video images.

A networked system provides electronic form templates to coordinate expert review of medical images.