Horus Systems provides a distributed drone detection platform that uses compact hardware nodes equipped with optical cameras, acoustic microphones, and RF receivers, each running embedded AI to fuse sensor data into a high‑confidence threat classification.
Funding
Funding not disclosed
Founders
Product
Problem
Low‑altitude drone incursions pose security risks for critical infrastructure, public events, and military sites, yet existing detection systems rely on single‑point sensors that are vulnerable to blind spots, limited coverage, and require extensive manual installation.
Solution
Horus Systems delivers a distributed drone detection platform that combines compact hardware nodes equipped with optical, acoustic, and RF sensors. Each node runs embedded AI models that fuse the three sensor modalities into a unified decision layer, providing high‑confidence classification and early warning of low‑altitude threats. The nodes form a mesh network, increasing sensor density and coverage while eliminating single points of failure. Deployment is performed by drone, allowing rapid installation and repositioning in hazardous or hard‑to‑reach environments without exposing personnel.
Target Audience
Primary customers include security operators of critical infrastructure, event organizers, and defense agencies that require scalable, resilient detection of low‑altitude drones.
Features
- Compact multi‑sensor nodes integrating active optical cameras, acoustic microphones, and RF receivers for three‑layer detection
- Embedded AI that fuses optical, acoustic, and RF data into a single confidence score, reducing false positives
- Distributed mesh architecture that cross‑checks detections across neighboring nodes to enhance coverage and reliability
- Energy‑efficient on‑board processing enabling continuous operation in field conditions
- Drone‑based deployment capability that minimizes personnel exposure and accelerates setup in risky areas