Building the Next Layer of Intelligent Security

Drone Detection & Monitoring

Exploring technologies for detecting, monitoring, and analyzing drone activity using broadcast Remote ID information and wireless signal observations.

Detection depends on supported signals, receiving hardware, range, terrain and environmental conditions, and on applicable regulations. Not every drone broadcasts Remote ID. This work is limited to passive observation of broadcast signals; it does not interfere with drone control or communications.

Development areas

• Remote ID signal detection and interpretation
• Drone activity monitoring
• Geospatial visualization
• Historical observation and event analysis
• Wireless signal correlation
• Automated monitoring and reporting

Wireless Signal Intelligence

Developing tools for observing and analyzing nearby wireless device activity, with an initial emphasis on Bluetooth Low Energy technologies.

Observations describe device activity and signal characteristics, such as advertised device types and signal strength over time. Address randomization, varying transmit power and the physical environment mean they cannot always establish a device's identity, its owner or its exact location.

Research areas

• Bluetooth Low Energy discovery
• Signal strength and observation analysis
• Device identification and classification
• Historical signal footprint analysis
• Wireless activity visualization
• Automated monitoring and notifications

AI-Assisted Security Analytics

Investigating the application of artificial intelligence and computer vision to security monitoring, event interpretation, and operational automation.

These are research directions, not released or validated capabilities. Detecting an object, classifying an event and verifying a person's identity are distinct problems with different limits. Our approach treats AI output as input to human review, not as a decision.

Research areas

• Camera-based object detection
• AI-assisted event classification
• Recognition and visual analysis technologies
• Correlation of security-related events
• Automated alerts and reporting
• Integration with existing security systems