Image Analysis TRIZ Cases

Triggered image capture with door and environmental sensors cuts power use while improving cargo space utilization estimation.

A two-stage radial and non-radial calibration flow corrects wide-angle lens shading residuals and reduces composite image artifacts.

A learned prediction model links pigment data, waste plastic features, and color information to improve recycled plastic color matching.

Tilting a closed fluidic chamber drives density-based particle motion, enabling fast lensless detection and counting in inert liquids.

Motion-based prediction and light sensing pre-adjust line-of-sight camera exposure to keep AR image brightness stable during rapid view changes.

Silhouette edge tests let ray bundles share one box intersection check, cutting latency, power use, and individual ray tests.

AI compares image-derived and pre-computed parameter embeddings to automate microscope setup, cut tuning time, and improve image quality.

Boundary surfaces replace control points to calculate measuring device pose in a geometric model, reducing setup complexity while preserving accuracy.

Fractal coordinates map measured colors into a continuous space, improving cross-device accuracy while limiting storage and communication overhead.

Adaptive affine subblock sizing uses motion vector differences and precision to cut coding complexity while preserving video coding efficiency.

An enlarged target image over the optical view helps embryologists assess sperm morphology and motility together for more consistent sorting.

Multiple pulsed X-ray sources move on an arc and trigger at relative standstill to shorten 3D scan time while widening sweep angle.

Sketch rasterization and complexity-based preprocessing let a machine learning model combine sketches, text, and images for more flexible content generation.

Misdetected object regions are extracted and reused in matching images to create natural training data that improves object detection retraining.

Mismatch areas between texture-based and parallax-based detections are reanalyzed to improve object presence decisions and reduce false misses.

Automatic current-based calibration adjusts external machine vision lighting within PoE limits, avoiding overload and manual setup.

A laser scanner captures the full 3D ophthalmic lens edge profile, improving machining fit and coating accuracy without tactile measurement.

MEMS sensor heat maps reveal rooms, passages, and user location indoors without Wi-Fi or BT infrastructure, even in low-connectivity areas.

AR-guided virtual polyhedrons show required viewing angles and photo counts, reducing manual effort in accurate 3D object modeling.

Pre-calibrating mirror phase, geometry, and phase offset lets deflectometry compute freeform surface gradients quickly and accurately.

Selective track referencing in 3D scene description files reduces redundant designations while preserving access to all content tracks.

A familiar external controller shifts input and gesture processing off smart glasses, simplifying AR interaction and reducing on-device resource use.

Encoded LED patterns and a liquid lens let a CNN estimate defocus in real time, avoiding slow z-stack focusing for slide imaging.

Visual tracking estimates flexible-device bending to correct AR/VR depth misalignment, cut compute load, and support biometric authentication.

A camera and laser setup tracks bridge deflection in real time to weigh moving vehicles accurately without invasive road sensors.

Precomputed visible light-source regions from 3D reconstruction cut per-frame ray tracing while preserving realistic diffused XR lighting.

Distance-based capture guidance helps users collect extractable pet features in one session, improving image quality for identity verification.

Converts overlapping vector contours into a simple graph with unified winding to remove fill errors and avoid slow planarization.

Baked particle trail textures replace real-time particle geometry calculations, cutting CPU overhead while preserving road map rendering accuracy.

Hierarchical equivariant graph features estimate rotation, translation, and scaling to register non-uniformly scaled point clouds accurately.

Onboard fusion of image and complementary sensors delivers real-time underwater depth maps and 3D point clouds for obstacle avoidance.

Uses overlap-region depth, relevance ratios, and feature integration to improve depth estimation in non-overlapping camera views.

Mask generation and recursive nested extraction improve image object labeling accuracy while reducing manual effort and processing time.

Scaled ray components and cross-multiplication cut ray-box intersection latency and power use without sacrificing accuracy in 3D ray tracing.

Integrated head-worn cameras and display improve knee replacement registration accuracy while avoiding line-of-sight blockage and head turning.

Coordinate transforms keep steering inputs aligned with on-screen image movement during rotated visual inspection views.

Dynamic scaling aligns virtual overlays with real-world objects in AR glasses to normalize viewing and prevent unfair gameplay advantages.

Orientation prompts from a sensing region help users find nearby virtual objects without repeated view adjustments, saving time and resources.

Composite vectors cluster similar objects across video frames, cutting manual labeling effort while improving recognition accuracy and speed.

Adjacent block directions narrow DFT candidates for fingerprint orientation estimation, cutting repeated calculations while preserving accuracy.

Preset control modes let users adjust specific virtual object parts in real time, improving image flexibility without a complex interface.

Movement sensors track flame detector displacement and trigger alerts when field-of-view coverage shifts, helping maintain reliable fire surveillance.

Character-specific image models infer identifier information from external images, enabling natural responses with lower data use and server load.

Ground truth targets are generated using object size and area matching scores to reduce IoU location bias and improve detector learning.

Vernier position markers reveal substructure offset during additive electronics printing, enabling faster alignment checks and less post-print QC.

Masking selected image tokens while preserving others creates semantic variations that reveal which features a classifier truly relies on.

Uses 3D scene estimation and semantic regions to generate realistic shadows in 2D image edits while reducing manual pixel-level work.

Reference video action features guide text-to-video generation to reduce frame jitter and improve coherence, accuracy, and control.

Semantic vectors from video frames and text help extract important in-scene images that pixel-change scene break methods often miss.

Automated video analysis turns body-camera footage into editable, standards-compliant reports, cutting manual writing time for officers.