Character And Pattern Recognition TRIZ Cases

An eye detection apparatus scans edge images with a weighted image window to locate feature points.

A mobile computing device acquires image data to identify inanimate objects and stores their state information for automated tracking.

A computing system detects user eyestrain and adjusts display settings to reduce visual discomfort.

A processor selects an environment light map from a database to control image expression based on brightness distribution features.

A facial recognition system selects temporally related images to enhance user identification accuracy and reliability.

Multi-resolution fusion of pseudo-LiDAR features improves object detection accuracy by combining bird's eye view maps.

Hybrid location and visual tracking resolves the contradiction between proximity detection and accurate line-of-sight verification for hands-free interaction.

A lane recognition device extracts edge points from camera images to identify demarcation line candidates based on continuity.

Segmented machine learning models analyze label attributes to resolve barcode replication risks and improve authentication accuracy.

A speechability service computing system analyzes graphical user interface screens to assign scores identifying voice interaction suitability.

Image processing program dynamically adjusts positional relationship indicators based on virtual camera height and object attributes.

A reliability generation unit calculates output variance across multiple classifiers to produce a single classification result.

A directional audio focus system isolates intended speakers from competing microphone signals.

A system converts document images into semantically tagged text using attribute-dependent processing rules.

Automated image processing identifies road objects and correlates their positions to resolve the contradiction between mapping accuracy and update speed.

A video processing unit classifies frame blocks as inter or intra to selectively generate feature map segments using inverse frequency transforms.

A ghost imaging device splits light into signal and reference beams to reconstruct target images.

Dynamic watermarking adapts to image motion, balancing compression robustness with modification sensitivity for reliable authentication.

A frame rate conversion unit processes split image data streams in parallel to synchronize display output across multiple regions.

A rotating presser plate mechanism integrates pressing and movement functions within a single unit.

Remote computing devices generate neural network structures transmitted to local embedded systems for state determination.

A face identification data registration section updates reference parameters at predetermined intervals to maintain authentication accuracy.

An information processing device extracts data features and matches them against reference amounts to predict optimal compression parameters before execution.

A product identification apparatus captures images to extract and store reference data for dictionary registration.

A foldable document copier uses a digital camera to capture images of various paper sizes.

Interactive visual analytics projects high-dimensional data into multi-dimensional space to differentiate clusters and extract dissimilar dimensions.

An image transmitting apparatus sends image data during editing and layout information after completion.

Segmenting video frames into sub-regions generates selective streams that reduce transmission bandwidth while preserving object detail.

Modifying inter-character spacing to encode data creates a high-capacity steganography method resilient to printing and photocopying attacks.

An interactive stereo display system calculates three-dimensional coordinates using an optical sensor array and color-filtered light sources.

Depth imaging replaces complex 3D scans for HRTF personalization, simplifying data collection while maintaining measurement precision.

A device extracts GUI components from screen images to generate operation logs without application-specific mechanisms.

Interval content addressable memory enables parallel feature searches using interval encoding, resolving high-dimensional search bottlenecks.

An image-reading device automatically sets recognition target regions based on detected page numbers to perform character recognition.

Hierarchical feature extraction via multiple neural layers improves face recognition reliability under illumination changes while maintaining processing speed.

Multi-OCR fusion merges state-specific confidence data to resolve font variation bottlenecks in ALPR systems.

A video reception device detects superimposed information to set specific recognition regions within partial video signals.

A conditional random field enforces layout consistency across densely represented image parts to estimate belief distributions for object detection.

A sensor data analysis method determines reference estimation data from adjacent sensors to detect target data abnormalities.

A face recognition system acquires target images and compares them against a static library to identify identities.

An image capture device integrates texture and border application functions, allowing users to overlay and tile images directly without external software.

Ultrasonic sensors detect breathing sounds to assess occupant posture and stress, resolving camera privacy concerns and dirt sensitivity in autonomous vehicles.

Digital camera captures scenes and displays virtual overlays on surfaces, enabling precise manual tracing while resolving optical projection limitations.

A mobile robot uses cameras and microphones to detect a subject person and controls its driving mechanism to stop movement when the person is present.

Embeds personally identifiable information indicators within font vector data, reducing memory requirements by consolidating identification models.

A circle identification apparatus detects contour pixels at intervals and calculates perpendicular bisector intersections to locate centers.

Flexible robotic arms with vacuum means extract sand directly from road surfaces, eliminating traffic disruptions caused by traditional mechanical trucks.

Multi-level optical mark reading interprets unambiguous symbology in response bubbles, resolving hardware cost and form size trade-offs.

Translating sonar echograms to pseudo-optical images enables automated detection while resolving interpretation difficulty caused by domain dissimilarity.

Defining a dynamic focus area inside a bounding box resolves reliability issues in autonomous driving by preventing measurement outside the lane marking.