Indian IT options supplier Echelon Edge stated it had deployed and operated its Percipient Unified Platform for Crowd Administration on the just lately concluded Maha Kumbh Mela 2025 in Prayagraj. The occasion, held from January 13 to February 26, drew over 660 million individuals, making it the world’s largest religious gathering. In collaboration with Synergy Telematics, the system integrator and implementation company, Echelon Edge stated it launched an AI-powered digital crowd administration system, marking a primary within the occasion’s historical past.
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Largest Digital Crowd Administration Deployment
In keeping with the corporate, this was India’s largest digital crowd administration deployment, making certain public security and facilitating the seamless motion of thousands and thousands of devotees.
For the primary time within the historical past of the Maha Kumbh, a centralised AI-driven platform was deployed to trace, analyse, and dynamically handle crowd motion. Synergy Telematics, the system integrator, introduced collectively a vendor ecosystem, together with Echelon Edge and different third-party AI distributors. The system recognized potential congestion factors by monitoring acceleration stream charges.
Echelon Edge stated the system additionally assisted the authorities in planning and streamlining individuals and visitors motion. With a single-click interface, authorities may entry real-time digital camera feeds, ETA estimates, and predictive insights, enabling sooner response occasions and proactive security measures.
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Actual-Time Monitoring
The platform’s GIS integration offered a multi-layered view of the occasion, incorporating real-time digital camera feeds, route optimisation instruments, and stay crowd density forecasts. Authorities may activate contingency plans immediately, redirecting individuals by means of alternate routes to take care of a easy stream. Moreover, predictive analytics engines assessed entry and exit patterns, car motion throughout toll factors, and footfall variations throughout totally different ghats to make sure a well-orchestrated crowd motion technique, Echelon Edge defined.
Know-how-Pushed Public Security
Gaurav Gandhi, CEO and Co-Founding father of Echelon Edge stated, “By our AI-driven crowd administration platform, we helped authorities monitor real-time motion and enabled predictive intervention, which was essential for avoiding congestion and making certain a seamless expertise. This marked a landmark second in large-scale occasion administration, setting a brand new benchmark for the way expertise can improve public security at mass gatherings. This platform is designed to assist a number of use instances past crowd administration, together with enemy intrusion detection, visitors monitoring, emergency response coordination…”
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A key problem on the Maha Kumbh was balancing the religious expertise with the logistics of managing thousands and thousands of individuals in real-time. Echelon Edge stated its answer bridged this hole by leveraging AI and Machine Studying-driven insights to foresee motion traits whereas serving to police and Mela officers keep one step forward. The system forecasted car influxes, predicted hotspots of crowd density, and offered route ideas based mostly on real-time information, enhancing the response effectivity of on-ground groups.
