14 DISC
AI Module for UAS for Autonomous Recognition Identification and Targeting
1- Current and future battlefields will demand rapid interpretation of huge amount of information and data in compressed time to execute time sensitive missions. Existing human Centric Sys and processes are not likely to sustain and execute ISR, DOOAF or other Targeting functions from UAS platforms in a fast pace operational environment. Rapid interpretation and accurate time bound analysis is an imperative. These inputs will be required to be processed and synthesised seamlessly to aid decision makers at the Edge as well as at C2 Nodes.
2- Bridging this gap by leveraging AI / ML and associated Technology is essential. There is a reqmt to develop an AI Module to process multi sensor ISR inputs at the Edge on various types of ISR platforms to enable autonomous target detection, recognition and identification. The AI Module is required to classify and prioritise potential targets and accurately acquire targeting coordinates to facilitate fast and efficient sensor shooter cycle.