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GS4The Hindu

Police use facial recognition system to identify over 2,800 ‘criminals’ present at protest

Delhi Police said it identified about 2,873 people with prior criminal records at the Jantar Mantar protests using facial recognition on live CCTV.

SP
Samachar Pathshala Desk
28 Jul 2026 · 2 min
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Key takeaways
  • Delhi Police says it used facial recognition to identify people present at Jantar Mantar protests.
  • Facial recognition is a software method that matches a person’s face in CCTV video to stored identity records.
  • Delhi Police says it compared faces with criminal databases and dossier records kept by district police units and other law-enforcement agencies.

Delhi Police reported that it identified about 2,873 people with prior criminal records who were present at the Jantar Mantar protests. Delhi Police said it used facial recognition systems on live CCTV feeds around the protest venue, comparing captured faces with criminal databases and dossier records maintained by district police units and other law-enforcement agencies. Delhi Police said the resulting leads would be folded into an investigation related to violence witnessed on July 20.

What happened (identification exercise at Jantar Mantar)

Delhi Police stated that it identified about 2,873 people with prior criminal records present at the Jantar Mantar protests. Delhi Police officials said the process used facial recognition based on live CCTV feeds captured at and around the protest venue. Delhi Police further said the facial recognition outputs were compared with criminal databases and dossier records maintained by district units and other law-enforcement agencies.

The UPSC angle · GS4 · GS3 · GS2

UPSC can frame this incident as a test of governance ethics: when police use facial recognition at protest scale, what safeguards should exist to prevent wrongful identification, ensure human verification, and keep surveillance limited and accountable—especially when violence investigations are involved.

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