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21 June 2026

AI-enabled queue management system at Sabarimala

This topic serves as a practical case study for the application of e-governance and technology in crowd management and public service delivery, which can be used as an illustrative example in GS2 and GS4 answers.

1 min read 2 questions 1 prelims

Notes

  • The Travancore Devaswom Board is implementing an AI-enabled queue management system at the Sabarimala Ayyappa temple.
  • The system will be launched on a pilot basis in the upcoming pilgrimage season starting mid-November.
  • The technology utilizes predictive analysis to manage crowd movement, monitor zone capacities, and track parking lot occupancy in real-time.
  • Hardware integration includes high-resolution cameras, infrared cameras, sensors, and drones.
  • The system incorporates face-recognition technology to assist in locating missing persons, such as children and the elderly.
  • The initiative aims to provide real-time decision support to police personnel and reduce the necessity for large-scale police deployment.
  • An expert committee will evaluate the technical and financial proposals, with a target completion date for procurement procedures by August 10.

Questions

  1. Discuss the potential of Artificial Intelligence in enhancing crowd management and public safety during large-scale religious congregations in India. 150 words
    Attempt this — 150 words in 8 min
    0 / 150 words 8:00
  2. The integration of AI-driven surveillance and predictive analytics in public infrastructure marks a shift in e-governance. Analyze the benefits and ethical considerations of deploying such technologies for managing high-density public spaces. 250 words
    Attempt this — 250 words in 11 min
    0 / 250 words 11:00

Prelims

  1. Which of the following technologies is NOT mentioned as part of the AI-enabled crowd management system for the Sabarimala pilgrimage?