The primary purpose of Glass casualty visualization is to provide real-time casualty visualization and geolocated casualty tracking for enhanced tactical situational awareness. It effectively serves to replace K9 units with advanced RF sensing capabilities.
Specifically, the Google Glass system aims to:
- Display Real-Time Alerts: It presents prominent, detailed alerts on the Glass device when a casualty event is detected. These alerts include crucial information such as the Casualty ID, Type of Casualty (e.g., “Blood Detected,” “Human Anomaly Detected,” “Violence Detected”), Severity (on a scale of 1-5), Confidence in the detection, the Source of the detection (e.g., “RF Biomarker Detection,” “Smartphone RF Sensor,” “Standoff Detection”), precise Location (latitude and longitude), and Time of detection.
- Provide Immediate Visual Cues: The system uses severity-based color coding on the Glass display for quick visual recognition of urgency. For instance, a “CRITICAL” severity 5 is indicated in red (🔴), while “SEVERE” severity 4 is orange (🟠).
- Offer Actionable Recommendations: Based on the severity, the alerts include immediate medical response recommendations, such as “🚨 IMMEDIATE MEDICAL RESPONSE REQUIRED” for critical or severe casualties (severity 4 or higher) or “⚠️ Medical evaluation recommended” for moderate casualties (severity 3).
- Enhance Tactical Overview: Beyond individual alerts, the Glass system provides a comprehensive tactical overview that includes:
- Real-time geolocation overlay.
- Audio alerts for critical casualties.
- Haptic feedback for proximity warnings.
- Tactical cluster visualization for grouped incidents.
- A breakdown of total active casualties and their severity.
- Improve Response Prioritization: By displaying this information in real-time, the system allows medical response teams to prioritize based on severity, enabling a more efficient and effective response to incidents.
- Integrate Advanced Sensing: It demonstrates the integration of various RF sensing capabilities, such as RF biomarker detection, smartphone RF sensing for human anomaly detection (replacing K9 units for human distress signals), and standoff violence detection, all visualized on Glass.
