Sabarimala shrine to get AI predictive systems, drones to manage crowds, Pg8

Key Highlights:

• The Sabarimala temple in Kerala will implement AI-based crowd management systems for its upcoming annual pilgrimage season starting in November.
• The Travancore Devaswom Board (TDB) and Kerala Police are collaborating with AI firms for this initiative.
• The system will utilize AI cameras, drones, and GIS mapping to predict crowd density and manage pilgrim movement.
• The shrine, located in Pathanamthitta district, recorded a footfall of 51 lakh devotees last year.

Detailed Insights:

• The phased implementation aims to ensure safe and hassle-free darshan, trace missing persons, and manage pilgrims from 26 parking grounds.
• AI-enabled crowd management has been successfully deployed in events like the Maha Kumbh Mela for managing large gatherings.
• The system will provide real-time data and instant alerts to authorities via digital devices to address issues promptly.
• The existing Virtual Queue System, which requires pilgrims to register online for time slots, will continue alongside the new AI system.
• The Sabarimala temple's location within a dense forest necessitates tailor-made AI solutions for its unique environmental challenges.

Scientific/Technical Concepts Involved:

• AI-based crowd management systems: Technology using artificial intelligence to monitor, analyze, and predict crowd behavior for safety and efficiency.
• Drones: Unmanned aerial vehicles used for surveillance, data collection, and monitoring large areas from an aerial perspective.
• GIS mapping: Geographic Information System technology used to create, manage, analyze, and map all types of data based on location.
• Virtual Queue System: An online system allowing individuals to reserve a place in a queue remotely, reducing physical waiting times.