Figures on this page are engineering design targets and reference-architecture values, not measured results from operating hardware. They state what the design is being engineered to achieve. Verified performance data will replace them as systems are built and tested. Nothing here should be relied upon as a performance warranty.
Change-driven pixels
Each pixel reports independently when its illumination changes beyond threshold. Static scenes generate almost no data; motion generates immediate output.
Motion signature
Classification distinguishes gait, vehicle, rotor, and animal signatures by temporal pattern rather than by appearance in a single frame.
Low light and high dynamic range
Per-pixel thresholding tolerates scenes that defeat frame cameras — headlights against darkness, shadow to sunlight transitions.
Detection only
The system detects and classifies. It does not identify individuals and it takes no action. A human receives the alert and decides what happens next.
This is a detection and cueing capability. No facial recognition, no biometric identification, and no automated engagement of any kind. Output is an alert with context to a human operator. That boundary is a design constraint, not a configuration option.
Discuss the details.
Specifications evolve as the design matures. Contact us for current status and integration requirements.
CONTACT TIMOTHY → Back to Edge Threat Detection →