14 DISC

Integrated Drone Management System for Monitoring Decision Support System

A large number of Unmanned Aerial Systems (UAS) are currently deployed and are expected to operate simultaneously in the Tactical Battle Area (TBA) for multiple roles such as soldier targeting, intelligence gathering, GIS mapping, surveillance, training assessment, and logistics. At present, these UAS operate as standalone assets, monitored through OEM-specific autopilot platforms, resulting in isolated video and data feeds restricted to local zones and a lack of centralised, real-time information flow to commanders across the chain of command. There is no integrated system to aggregate, monitor, and analyse live video and data from multiple drones in a coordinated manner. To address this gap, an integrated drone-based decision support system is required, deploying tethered and untethered drones over a secure mesh network to provide real-time, high-quality video and sensor data to a centralised command-and-control centre. The system should enable simultaneous monitoring of all drone feeds on a common geospatial interface, support Albased video analytics, track drone health, and deliver realtime situational awareness to local commanders as well as senior headquarters. Designed as a scalable ERP-based architecture, the system must allow future expansion and integration of existing Armyinducted UAS, support flexible deployment by vehicle or personnel, and ensure end-to-end AES-encrypted communications. With consolidated data available at the command-and-control centre, the system should enable actionable inferences, detailed activity analysis, and objective assessment of trainin and o erational ro ression, thereby supporting informed, timely, and data-driven decision-making in the TBA.

Challenges