14 DISC
Specialized Indigenous Hardware AI Storage computing based Layered Solution for Collating data from ships for analytics and deep Learning
Modern Indian Naval platforms are increasingly dependent on
sophisticated embedded systems for critical operational functions.
These embedded systems inherently exchange vast amounts of data through internal data streams, which are often visible throughintegrated
Human-Machine Interfaces (HMls). Despite this rich and continuous
flow of valuable information, there currently exists no standardized mechanism to automatically extract or interpret this data in a universally intelligible format. This creates asignificant gap between the availability of onboard data and its potenal utility inenhancing operational awareness,diagnostics,and decision-making. Additionally, traditional data acquisition methods may interfere with the operational integrity of these systems, potentially disrupting their intended functionality—an unacceptable risk in mission-critical scenarios onboard naval vessels. To overcome the limitations, the challenge calls for the indigenous development of a novel and comprehensive technological solution. This solution should feature an integrated ecosystem of Make in India hardware and homegrown software powered by Atrtificial Intelligence. It must be capable of non-intrusively interfacing with existing embedded systems to capture data flows without impacting their normal operation. The solution should extract, translate, and structure the data in real-time, enabling its synchronized transmission and aggregation using a multi-tier storage and computing architecture. By making this information readily accessible, it can then be utilized for advanced data analytics, Machine Learning (ML), and Deep Learning (DL) applications—ultimately enhancing situational awareness, threat detection, and decision support onboard Indian Naval platforms.
