54 lines
2.8 KiB
Markdown
54 lines
2.8 KiB
Markdown
# Smart Intersection Analytics - Desktop Integration
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## Overview
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This documentation describes the Smart Intersection analytics capabilities integrated into the Traffic Monitoring Desktop Application. The system demonstrates how edge AI technologies can address traffic management challenges using scene-based analytics.
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## Key Features Integrated
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### Multi-Camera Scene Analytics
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- **Multi-camera multi-object tracking**: Enables tracking of objects across multiple camera views
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- **Scene based analytics**: Regions of interest that span multiple views can be easily defined
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- **Real-time processing**: Object tracks and analytics available in near real-time
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### Use Cases
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- **Pedestrian Safety**: Enhance safety for vulnerable road users (VRUs) at crosswalks
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- Scene-based region of interest (ROI) analytics help identify VRUs actively using crosswalks
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- Detect unsafe situations, such as pedestrians walking outside designated crosswalk areas
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- **Vehicle Analytics**: Measure average vehicle count and average dwell time in each lane
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- Vehicles spending too much time in a lane indicates anomalies such as stalled vehicles, accidents, and congestion
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### Desktop Application Benefits
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- **Reduced TCO**: Works with existing cameras and simplifies business logic development
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- **Local Processing**: All analytics run locally with Intel Arc GPU acceleration
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- **Integrated UI**: Scene analytics configuration and monitoring within the main application
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- **Real-time Insights**: VLM-powered insights for enhanced understanding of traffic patterns
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## Configuration
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### Scene Analytics Settings
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The application includes configuration options for:
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- **Tracker Parameters**: Frame rate handling, measurement thresholds
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- **Camera Setup**: Multi-camera calibration and positioning
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- **ROI Definition**: Define regions of interest for analytics
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- **Performance Tuning**: Optimize for Intel Arc GPU acceleration
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### Access Through UI
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- Navigate to the **Config** tab in the main application
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- Select **Smart Intersection** settings
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- Configure parameters and apply changes
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- View live analytics in the **Analytics** tab
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## Technical Integration
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The desktop application integrates scene-based analytics through:
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- **Scene Adapter**: Python utilities for object detection processing
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- **Configuration Management**: JSON-based settings for tracker and scene parameters
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- **Signal Processing**: Qt signals for real-time data flow between components
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- **GPU Acceleration**: OpenVINO optimized pipelines for Intel Arc GPU
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## Getting Started
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1. Open the Traffic Monitoring Desktop Application
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2. Navigate to **Config** → **Smart Intersection**
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3. Configure your camera settings and ROI definitions
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4. Apply settings and view analytics in the **Analytics** tab
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5. Access detailed insights through the **Help** → **User Guide** menu
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