Image Data Processing TRIZ Cases

Predicted trailer path display helps drivers reverse combination vehicles by visualizing trailer motion from sensed position, speed, and orientation.

Different HUD and meter layouts place lane-change prompts where drivers can recognize both the action request and its reason.

Rotation is adjusted before a 3D surround view stops so camera image boundaries avoid the center and remain less distracting.

AR images on autonomous vehicle windows convey state, route, and intent to people outside the vehicle without separate communication hardware.

Different HUD and meter layouts present lane-change prompts in positions drivers can read quickly while keeping key guidance consistent.

When fatigue, inattentiveness, or timidity exceed concern thresholds, AR cues and machine control changes help lower incident risk.

Radar-based 360-degree visualization highlights moving hazards in poor visibility while reducing the limits of front-only night vision.

Radar-based 360-degree vehicle visualization detects hazards and movement in darkness, fog, and rain with lower energy use.

Dynamic AR notices show validity range and interaction timing in the driver's view, improving clarity without drawing attention from the road.

Different text placement above and below vehicle icons helps drivers read HUD and meter display information more accurately.

Vehicle windows display text and graphics about autonomous driving state and intent, helping passengers, recipients, and pedestrians understand actions.

A 360-degree panorama interface links interaction points to real-time machine data, preserving system overview in complex automation environments.

A 360-degree client-server interface links live machine data to selectable interaction points, improving overview and control in complex automation systems.

A virtual twin gives operators immediate visual feedback while the physical underwater vehicle follows matching position and orientation commands.

Digital overlays on captured workpiece images guide weld locations and order when physical marking is impractical or incompatible.

Camera-based virtual markings overlay weld locations and order on a display, improving guidance on resistant or simulated workpieces.

A machine-configuration graph calculates camera-to-target transforms so virtual machining objects display accurately with less modeling effort.

A virtual space image maps robot and terminal positions so remote users can understand location and trigger voice links during exhibitions.

Gradient-guided auxiliary networks find disentangled GAN latent directions with as few as 60 labels, reducing artifacts in semantic image editing.

Real-time AR sessions sync live camera feeds and shared overlays across users while balancing responsiveness, privacy controls, and device complexity.

Automatically maps object layouts from 2D room images into 3D virtual spaces, reducing manual placement time while preserving fit and position.

Renders 3D target objects into real surveillance footage with occlusion and auto bounding boxes to expand realistic AI training data.

A fixed camera uses environment-trained ML and segmentation masks to stabilize XR overlays without depth sensors or heavy in-painting.

User-aligned virtual and real grids reveal individual depth offsets, enabling more accurate 3D VR rendering than eye tracking alone.

Merges multiple users' AR scenes with contextual analysis, 3D point clouds, and ML to keep shared rendering consistent across devices.

A web-based XR approach uses one API plus sensor fusion from ARCore, ARKit, gyroscopes, accelerometers, and lidar for stable cross-platform scenes.

Distance-based loading renders only visible AR objects, cutting processing load, storage use, and visual clutter in large-area scenes.

A browser-based XR approach uses unified and adaptive APIs plus sensor data to keep scene generation stable across Android and iOS.

A browser-based XR approach adapts one codebase across Android and iOS, using sensor-based playback correction for stable scene generation.

A native bridge plus sensor fusion keeps web-based XR scene generation stable across Android and iOS mobile devices.

Dynamic lateral shifting of virtual objects aligns eye convergence with depth changes, reducing blur, double images, fatigue, and nausea.

AR glasses register a 3D overlay to an audio control surface, highlighting relevant controls in real time and reducing search effort.

A light sensor triggers camera capture only when a flashing marker is detected, cutting AR power use and spatial computation time.

A 3D mountain wallpaper shifts angle and position with user step count, turning static screens into progress-based visual feedback.

Maps real item locations into a familiar virtual layout so users can find similar products faster without navigating VR aisles.

Markers encode permissions, unlock codes, and conditions to control 3D object generation in XR while preventing unauthorized use.

Directional passthrough views reveal nearby real-world objects in VR, helping users reorient and avoid collisions without constant boundary walls.

Coded image landmarks provide 3D position and orientation references, enabling precise AR content alignment with lower tracking complexity.

A cloud content platform keeps media instances private during creation, then switches them to public access without local rendering burden.

A physical object marker captures hand position and orientation to map natural gestures into real-time XR product interaction.

Embedded control data lets AR/VR displays shift, scale, and activate depth planes without re-rendering, improving comfort and power use.

Passive depth extraction from mixed camera views cuts XR headset power use while preserving accurate world modeling and object placement.

RF signal measurements let XR devices detect relative position and adapt shared content in real time for coordinated multi-user immersion.

Usage-space checks and automatic state handling let XR systems switch between VR and MR safely while keeping virtual objects consistent.

Shared position marks and live view guidance help object-user avatars match the shooter’s intended framing in metaverse photography.

Measures HMD viewpoint tracking error under motion cueing by comparing virtual shape displacement to reduce false visual cues and motion sickness.

Incremental sparse 3D convolution limits updates to active residual sites, cutting redundant point cloud computation for real-time segmentation and detection.

A sensor-driven AR portal interface replaces file-path access with spatial navigation, enabling immersive entry into virtual copies of physical spaces.

A 3D virtual fashion space links users with designers, handles design commissions, and streamlines purchase transactions in one platform.

Virtual scene transformation lets MR content meet real-world constraints in real time, avoiding geometric mismatch and heavy scenario storage.

Adjustable free-form optics and a pivoting frame let users view VR, AR, MR, and real scenes together with less eye strain.

Sensitive web content is shifted from a monitor to AR, enabling private viewing and real-time interaction between 2D pages and 3D objects.

Real-time AR guidance and worker monitoring help match minimally skilled labor to specialized tasks with adaptive feedback.

Light-zone mapping and smart lighting control keep AR objects visible in bright rooms by relocating them away from high-intensity areas.

Sensors detect physical depth and adjust virtual object depth in real time, reducing double vision and viewing discomfort.