Image Acquisition TRIZ Cases
- AI Image Attribute Caching for Low-Latency Editing Workflows
Cached AI-derived image attributes avoid repeated neural-network processing, cutting editing latency and computational waste across workflows.
- Bulk Feeder Vibration Alignment for Lower Recognition Load
Vibration and alignment members organize bulk components before pickup, cutting image processing load while keeping the feeder compact.
- Micro-Lens Image Capture for High-Resolution, Low-Complexity Synthesis
A micro-lens sensor uses position tables to map photoelectric elements, enabling high-resolution synthetic images with less arithmetic processing.
- Vibrating Bulk Feeder Alignment for Lower Image Processing Load
Vibration moves components along a track and aligns them before supply, reducing feeder width and image-recognition processing load.
- Image-Based Light Output for Dynamic Zone Demarcation
A processor uses imaging data and coordinates to project dynamic zone outlines when static signs fade or fail.
- Component Mounter Bulk Feeder Recognition by Brightness Contrast
Brightness-based binarization separates components from the bulk feeder background so area and shape reveal orientation and pickup feasibility.
- Stroke Untangler for Overlapping Handwritten Input
A Stroke Untangler system segments overlapping handwritten strokes into characters using trained models.
- Image Grid Selective Prominence Layout
Variable grid cells highlight important images by size, resolving the trade-off between uniform layouts and content-based prominence.
- Image Reading Apparatus Dust Detection Using Line Sensor Sorting
Sorting staggered RGB pixels detects dust while preventing vertical line misidentification.
- Image Pickup Apparatus Omitting Development Processing to Manage Storage
An image pickup apparatus omits raw data development processing based on storage unit usage status.
- Sensor System Image Data Collection via Parallel Bus Storage
Parallel bus interfaces enable image data collection and bank switching in juxtaposed sensors without adding complex hardware.
- Group Interface for Image Sensor and Neural Network Processor
Bidirectional communication via a group interface coordinates data flow between an image sensor and a neural network processor to improve system efficiency.
- Location-Based Content Delivery Using Imagery Analysis
Segmenting location, imagery, and feature modules resolves the complexity trade-off in personalized content delivery.
- Augmented Context Content Discovery via Image Analysis
Image analysis identifies visual objects in television displays to generate actionable interface overlays.
- Image Viewer Folder Segmentation for Browsing Speed
Segmenting image storage into display and non-display folders reduces resource usage by preventing duplicate imports while maintaining user convenience.
- Dynamic Image Grouping for Album Layout Adaptation
A method divides images into time-based groups and adjusts group counts to match template availability.
- Portable 2D Scanner and 360 Camera for Annotated Floorplans
Segmenting scanning functions into a lightweight 2D scanner and separate 360 camera reduces equipment bulk while maintaining measurement precision.
- 3D Imaging Depth Resolution Control for Cardboard Effect Reduction
Dynamic depth value allocation concentrates resolution on detected objects, reducing the cardboard effect while maintaining low calculation costs.