OZONE: Elevate Airspace Security with our Advanced Airspace Management System
The Digitized Airspace Security Management System connects all the elements of national air defense into one robust and secure network. It uses AI techniques to provide Optimal air defense to assigned essential points and areas from external air threats.
Digitize the Entire National Air Defence for Protection Against Perceived Threats
- Process data from multiple radars to give a Fused Air Situation
- Threat evaluation and Weapon assignment algorithm to aid in strategizing
- Communicates Air and Ground Situation
- Identifies Fighting Strength and provides post Raid Analysis
- Radar Data Extractors for better Integration
- Cognitive Controller to integrate all available communication media
- Designed for mobility
- Failure of a component does not affect normal operation.
- Disaster Recovery
Salient Features
- Digitize the entire air defense of a country
- Digitization of all types of Radars to ensure visibility of complete air picture to Civil Aviation and Defence Authorities
-- Low-level radars
-- High range radars
-- Observers (OP)
-- Airborne systems
- AI-based thread perception indication for targets and VAs/VPs
- Optimal scheduling and path planning
- AI-based Optimal weapons assignment recommendations
- Workflow automation for Air Defence firing orders
Capabilities
Modular and scalable to integrate new systems and geographical areas
Robust networking using multi-mode indigenously developed routers and switches
Secure voice and data Communication within the system
Support of Allied
Operations
Unlimited number of system’s operators
Protection of user sensitive data
Tactical Data links
External radio remotely controlled capability
Generation of the Common Operational Picture through sensors fusion and Data Link integration
MIS
Al Accelerated Decision Making
As Multi-Domain tasks become real, we can hope to see the quantity of platforms and frameworks connected in the spectrum to greatly increase. This will expand the complexity, interconnectedness, volume and speed of operations, which could overwhelm the operations tempo.
By progressing artificial intelligence and machine learning capacities, we can change the human job from “in-the-loop” regulator to “on-the-loop” thinker who can concentrate on methodology versus the execution detail.