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Native AI-based software created to safeguard defence land from encroachment

The Directorate General Defence Estates (DGDE) has developed a Artificial Intelligence-based Change Detection Software that can automatically detect unauthorised constructions & encroachments on the defence land using Satellite Imagery, demonstrating once again how technology has benefited the country’s defense-related issues. For efficient land management and urban planning, the Institute makes use of the most recent surveying technology, including satellite photography, drone imaging, and geospatial tools.

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KEY POINTS:

  • The Directorate General of Defence Estates established the Centre of Excellence on Satellite & Unmanned Remote Vehicle Initiative (CoE-SURVEI) at the National Institute of Defence Estates Management at Meerut Cantonment in Uttar Pradesh. CoE-SURVEI is responsible for developing AI-based software.
  • The change detection programme has been created by the CoE-SURVEI in collaboration with knowledge partner Bhabha Atomic Research Centre (BARC).
  • Currently, the software employs trained software and Cartosat-3 imagery from the National Remote Sensing Centre (NRSC).
  • By analysing satellite imagery from various time periods, the alterations are found.
  • Tools for analysing unoccupied land and 3D imagery analysis of hill cantonments have also been created by the Centre of Excellence on Satellite & Unmanned Remote Vehicle Initiative for land management.
  • It is attempting to assure the best possible use of defence land by utilising Geographic Information System (GIS)-based land management technologies.

Functioning of AI:

  • The AI-based Change Detection Software uses a time series of satellite images to automatically identify changes on the ground, such as unauthorised structures and encroachments.
  • The Center of Excellence (CoE) has employed the software in 62 Cantonments.
  • Notably, the technology enables Chief Executive Officers (CEOs) of Cantonment Boards to identify ground changes that are of a permanent character and evaluate whether such changes are authorised or made without the proper consent of the responsible authorities.
  • The CEOs are prompted to determine whether timely action has been taken to prevent unauthorised constructions or encroachments, and if not, it results in the appropriate legal action.
  • Additionally, the AI-based software enables improved control over unauthorised operations, assures field personnel accountability, and aids in the elimination of corrupt practises.
  • It is important to remember that 570 out of the 1,133 unlawful alterations discovered have already been dealt with. Where legal action is appropriate in the remaining 563 cases, the Cantonment Boards have commenced it once the software recognised changes.

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