Mumbai/ Hyderabad, June 18 : NthEye, an AI-powered decision intelligence company, today announced the successful deployment of its intelligent surveillance platform at Medaram Jatara, one of India’s largest tribal religious congregations held in Telangana, where the system monitored the movement of more than 6 million pilgrims, generated over 70 real-time alerts, and directly assisted law enforcement in multiple apprehensions, including the dismantling of two organised interstate theft syndicates.
Medaram Jatara, held once every two years in a remote forest village in Telangana, drew over 1.3 crore pilgrims across four days, one of the largest religious congregations in the world, compressed into a window where crowd surges, stampede risk, and organized theft can escalate in minutes. To meet that scale, NthEye didn’t try to watch more cameras, it deployed just 15 CCTV feeds at critical choke points, wired into edge-GPU infrastructure inside the Police Command and Control Centre. The result wasn’t surveillance; it was a decision intelligence platform: live video converted in real time into face-matches against a 10,000-record offender database, behavioral threat flags, and instant location data on suspects, giving law enforcement the ability to act on a developing incident instead of reviewing it after the fact. Across the event, that pipeline processed the equivalent of tracking 6 million pilgrims, generated over 70 real-time alerts, and led to multiple apprehensions, including the disruption of two interstate theft gangs.
Unlike conventional surveillance systems that rely on post-event video review, NthEye’s intelligence-led architecture enabled authorities to proactively monitor crowd movement, identify suspicious activity, and respond to emerging threats in real time. Rather than deploying hundreds of cameras across the venue, NthEye took a precision-first approach, strategically positioning 15 CCTV feeds across critical crowd choke points, connected to edge-GPU infrastructure within the Police Command and Control Centre. This architecture enabled zero-latency video processing and advanced visual analytics directly at the edge, with the system processing over 100 faces per frame every second and delivering a throughput of nearly 5 million face scans per hour, demonstrating that intelligent deployment consistently outperforms sheer camera volume.
Key Outcomes
- 6M+ pilgrims monitored across the event through just 15 strategically placed feeds
- 70+ real-time alerts generated, providing actionable intelligence as incidents unfolded
- Multiple apprehensions facilitated through real-time visual tracking and suspect location mapping
- 2 interstate theft syndicates dismantled through precision-led intelligence and timely intervention
- 2 live crime incidents captured on video with frame-by-frame audit trails suitable for legal proceedings
- 10,000+ previous offender records integrated for live identity verification and behavioural threat detection
Speaking about NthEye’s role at Medaram Jatara, Venkat Ramana, CEO, NthEye & Value Pitch said,
“Large-scale public gatherings demand security systems that go beyond passive surveillance, they require real-time intelligence that empowers authorities to act before situations escalate. At Medaram Jatara, we proved that 15 cameras operating with AI can outperform hundreds of conventional ones, enabling proactive crowd management, real-time crime prevention, and rapid incident response at unprecedented scale. This deployment validates that the future of public safety lies in intelligence, not just infrastructure, and Medaram Jatara sets a powerful new benchmark for what becomes possible when we close the gap between detection and intervention.”
Most surveillance systems record what went wrong; NthEye’s platform reads what’s about to, giving authorities the chance to get ahead of it instead of chasing it after the fact.
It is also worth noting how the system handled identity matches. A recognised face in the database was never, on its own, enough to trigger action. Officers moved only when the platform detected active behavioural signs of criminal intent or a crime already unfolding, a deliberate design choice that kept false positives low and interventions precise.
Insights gained from the Medaram Jatara deployment are shaping the evolution of NthEye’s next-generation Command Centre 2.0, with enhanced capabilities for automated camera-tampering detection, deeper situational awareness, and greater operational resilience in complex, high-density environments.
As governments and law enforcement agencies increasingly seek technology-driven approaches to managing large-scale events, NthEye continues to advance AI-powered solutions that help organisations transition from reactive surveillance to proactive, intelligence-led security operations.