Indian Army uses AI for Real-time Surveillance of Borders

The system will allow soldiers to reduce manual monitoring and allow easier and accurate recognition of adversaries.
Indian Army uses AI for real-time surveillance of borders
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The Indian Army recently announced that it has implemented an AI-based system to monitor the Northern and Western borders for real-time surveillance. 

The AI-based surveillance system is also being used for real-time monitoring of social media platforms, pattern recognition and anticipation of adverse conditions or danger. 

To break the symmetry during insurgency hits, the system will allow soldiers to reduce the requirement for manual monitoring and allow easier and accurate recognition of adversaries.

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In addition, during military operations and Counter-Terrorist Operations, the suspicious vehicle registration system has been installed in eight areas, particularly in the Northern and Southern movie theatres, which notices and confirms with the ministry of surface transport. “It gives real-time input to the soldiers in that particular area to identify whether that vehicle registration number is correct or incorrect,” sources report. The system can handle heterogeneous commands from PTZ cameras and thermal and night vision triggers.




The Indian Army has collaborated with Academia, Indian Industry, and DRDO to conduct extensive in-house testing of AI techniques at the Military College of Telecommunication Engineering to strengthen their monitoring and surveillance system. Sources report that the advantage of in-house research centres was that “we used to get the data from the field formations”.

The Indian Army had previously developed an AI-based cervical cancer detection system, which is helping hospitals track the stages of cancer that allows doctors to treat the patients.

Mohit Pandey
Mohit dives deep into the AI world to bring out information in simple, explainable, and sometimes funny words. He also holds a keen interest in photography, filmmaking, and the gaming industry.

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