Scene Recognition TRIZ Cases
- Environment Recognition Device Using Luminance-Color Grouping
A luminance obtaining unit assigns color identifiers to target portions based on brightness ranges and groups them by spatial proximity.
- Machine-Learned Model Training for Sensor Parameter Optimization
Training a machine-learned model to dynamically adjust sensor parameters resolves manual tuning bottlenecks and improves obstacle identification.
- Lidar Terrain Mapping Using Intersection Elevation Data
A Lidar processing system extracts ground-level elevation values from roadway intersections to generate accurate terrain models.
- Multispectral Horizon Slope Analysis for Atmospheric Compensation
Calculating intensity slope differences between horizon regions enables threat detection systems to calibrate thresholds against visibility variations.
- Dynamic Overlap Control for Vehicle Sensor Data Volume
A vehicle-mounted measurement device unit dynamically sets overlapping detection areas between sensors to generate integrated data.
- Optical Marker Drone Cargo Delivery Precision
An optical marker system enables a delivery drone to identify specific recipient locations via image processing, resolving GPS coordinate limitations.
- Edge Device Double Parking Detection via Lane and Vehicle Bounding
Edge device detects double parking violations by bounding road lanes and vehicles, replacing manual review with automated validation.
- Vehicle Exterior Environment Recognition Apparatus Rear Side Face Pairing
A vehicle exterior environment recognition apparatus pairs side and rear faces of potential three-dimensional objects using angular classification.
- Shearography Object Classification Using CNN and Derivative Peaks
Derivative peaks cueing guides a convolutional neural network to classify buried objects, reducing speckle noise interference.
- Neural Network Learning Using Dual Evaluation Functions for CG to Real Image Adaptation
A neural network adjusts weighting coefficients using dual evaluation functions to align intermediate outputs from computer graphics and actual images.
- Autonomous Driving Data Acquisition Using Virtual Model Self-Evaluation
A processor evaluates input data quality using a virtual model to select necessary learning data for storage.
- Ship Section Man-Overboard Detection Using 3D Kinematic Analysis
Three-dimensional spatial analysis differentiates persons from spray or birds by verifying object origins, reducing false alarms in maritime monitoring.
- Road Surface Curvature Pattern Detection for Suspension Control
A road surface measurement sensor generates signals that a controller digitalizes to calculate curvature patterns for vehicle identification.
- Vehicle Light Source Pair Identification with Reliability Feedback
A vehicle recognition apparatus identifies paired light sources using positional relations and derives a reliability degree for each pair.
- Traffic Disturbance Detection Using Vehicle Image Analysis
Vehicle image processing detects road objects to determine traffic disturbance positions.
- Vehicle Obstacle Detection Using Active Deformable Contour Model
A vehicle obstacle detection device extracts precise boundary contours using a Poisson gradient vector flow algorithm for accurate type recognition.
- Multi-Agent Trajectory Prediction Using Local Reference Frames
Local reference frame encoding resolves global coordinate limitations by enabling accurate multi-agent trajectory prediction without fixed reference agents.
- Vector Editing with Image-Based Rerouting
Image-based rerouting algorithms analyze background content to automatically adjust vector paths, reducing manual editing effort and improving accuracy.
- DuoSpaceNet 3D Detection via BEV and PV Feature Fusion
DuoSpaceNet merges BEV and PV features to resolve the trade-off between computational complexity and 3D detection precision.
- Vehicle Object Detection Using Segmented Optical Flow Models
A vehicle detection apparatus divides image search regions into upper and lower zones using distinct optical flow models to identify forward vehicles.
- AI Model Update via Micro-Doppler Measurements for UAV Object Recognition
Transmitting micro-Doppler measurements enables receiving updated AI models that improve object recognition accuracy while reducing signaling overhead.
- Synthetic Training Image Generation for Object Recognition
Modifying generic images with imaging parameters creates realistic training data, reducing manual labeling time.
- Hyperspectral Image Dimension Reduction via Iterative Basis Vector Selection
A hyperspectral image dimension reduction method establishes basis vectors to decompose spectral data into reduced dimension vectors for each pixel.
- Automated Crop Trend Detection Using Vegetation Index Analysis
A system calculates vegetation index values from time series imagery to generate trend lines for automated crop monitoring.
- Narrowband Optical Filter for LED Detection in Aircraft EVS
A narrowband optical filter isolates specific light wavelengths to detect colored elements within an enhanced vision system.
- Free Space Signal Detection for Close Cut-in Vehicles
Front camera free space signals identify close cut-in vehicles, reducing collision risks by improving recognition time.