The Indian Army has been granted a patent in September 2025 for an indigenously developed “Automatic Target Classifying System based on Artificial Intelligence,” an innovation led by Colonel Kuldeep Yadav that uses AI to analyse radar signatures and autonomously detect, identify and categorise targets without human intervention. Announced in mid-September 2025, the system is described by Army sources and defence-media reports as capable of distinguishing classes such as aircraft, vehicles and personnel from real-time radar returns, improving situational awareness, shortening decision loops and reducing the risk of human error in high-tempo environments. Developers say the technology will integrate with existing surveillance and fire-control architectures to speed target prioritisation and response, supporting the Indian Army’s push for Atmanirbharta in defence tech. The patent follows earlier AI-related work by the same officer and reflects broader efforts across Army projects to combine machine learning, sensor fusion and automated decision aids for more resilient, faster battlefield sensing and engagement.