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This is a public Edge Impulse project, use the navigation bar to see all data and models in this project; or clone to retrain or deploy to any edge device.
Airguard VisionEdge
About this project
VisionEdge: AI-Powered Environmental Analysis 🌍🔬
VisionEdge is an advanced platform designed for Environmental Scientists like Dr. Evelyn Reed to perform sophisticated AI inference and analysis on environmental data, focusing on detecting and visualizing anomalies.
Key Features
Data Annotation and Visualization
The platform provides multiple tools for precise data annotation and visualization:
- 2D Bounding Boxes: Define rectangular regions of interest on images or video frames.
- Segmentation Masks: Perform pixel-level classification to delineate complex shapes or areas.
- Points: Mark specific coordinates or singular points of interest.
- 3D Bounding Boxes: Annotate objects in a three-dimensional space for enhanced spatial analysis.
AI Inference - Anomaly Hotspots
VisionEdge specializes in identifying and visualizing Anomaly Hotspots using AI-driven inference:
- AI Inference: Displays the core output of the machine learning model, highlighting areas flagged as anomalous.
- Time Series: Allows for the analysis of data and anomalies over time, identifying trends and temporal patterns.
- Correlations: Explores relationships between different data streams or features that might be linked to the detected anomalies.
- Ground Data: Provides the option to compare AI findings against verified ground truth data.
- Reveal on hover: An interactive feature to conditionally display detailed anomaly information as the user hovers over a hotspot.
Technical Specifications
- Model: Gemini 2.5 Pro
- Region: Global
- User Role: Environmental Scientist
- Analysis Focus: AI-driven detection and visualization of environmental anomalies.
Getting Started
- Login: Use your credentials to access the VisionEdge platform.
- Session: A new session is automatically initiated. Use the Reset Session button to clear all current analysis and start fresh.
- Select Analysis Type: Choose the desired annotation and visualization method from the left sidebar (e.g., 2D bounding boxes, Segmentation masks).
- View Inference: Navigate to the AI Inference - Anomaly Hotspots section to view real-time or pre-computed anomaly detection results.
Need Help?
If you encounter any issues or require assistance with the platform features, please click the Help button in the main navigation panel.
Session Management
To ensure data privacy and resource efficiency, remember to Logout after completing your analysis session.
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On any device
Project info
| Project ID | 802918 |
| License | 3-Clause BSD |
| No. of views | 92 |
| No. of clones | 0 |