DEACS

DEACS is a distributed multi-sensor system that performs detection inference at the edge and autonomously actuates a physical capture mechanism based on real-time consensus across spatially separated sensing nodes. The system is hardware-agnostic with respect to sensing modality, supports both centralized and peer-to-peer architectures, and operates entirely on a local network without dependence on cloud services or wide-area connectivity.

Existing automated capture systems route sensor imagery through a human operator who watches a remote feed and manually triggers the capture mechanism. That architecture introduces four practical limitations: communication latency that allows targets to exit before actuation; partial-capture risk from human operators acting without full spatial awareness; dependence on wide-area network connectivity that is unreliable in remote environments; and the operational cost of sustained human monitoring.

DEACS replaces the human-in-the-loop with consensus logic running at the edge.

The initial application is autonomous wildlife management. The system is not limited to wildlife management. The architecture is general enough to apply to airspace management and counter-UAS, secure facility access control, traffic signal optimization, dam and water infrastructure, livestock handling automation, and industrial process control in manufacturing, chemical, and power generation environments.

A provisional patent application covering the system was filed in April 2026. DEACS is developed by ET2 Labs LLC. Licensing, partnership, and commercial inquiries should go to George Clay directly.