Guwahati: A startup incubated at IIT Guwahati has developed Artificial Intelligence (AI) –powered robots designed for real-time surveillance along international borders.
The Indian Army is currently testing the system for potential deployment in sensitive areas.
AI-Driven Surveillance for Border Security
The robots, developed by Da Spatio Rhobotique Laboratory Pvt Ltd (DSRL), aim to enhance security by providing uninterrupted monitoring in challenging terrains.
Unlike conventional surveillance methods that rely on stationary cameras, drones and manual patrolling, these autonomous robots navigate obstacles, adapt to different terrains and operate continuously.
According to Arnab Kumar Barman, CEO of DSRL, the system integrates multiple sensors for intelligence gathering and threat detection.
“The robotic surveillance system addresses key challenges such as endurance, adverse weather conditions, and terrain constraints,” he said.
Defence Research Acknowledgement and Field Trials
The Defence Research and Development Organisation (DRDO) has acknowledged the potential of the technology for India’s defence infrastructure.
The Indian Army is conducting field trials to evaluate its effectiveness. If successful, the system could be deployed for border security, critical infrastructure monitoring, and military base surveillance.
Keyur Sorathia, Head of IIT Guwahati’s Technology Incubation Centre, emphasized the significance of the development.
“The Indian Army’s trials indicate a step towards large-scale deployment of indigenous, AI-driven defence solutions,” he said.
Future Implications for National Security
With increasing threats such as rogue drones and infiltration attempts, AI-driven autonomous systems are gaining importance in defence strategy.
The IIT Guwahati-backed startup’s innovation aligns with India’s broader goal of strengthening security through indigenous technology.
As the field trials progress, the potential deployment of these surveillance robots could mark a shift in India’s approach to border security, reducing reliance on conventional surveillance systems and enhancing real-time threat detection capabilities.
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