Records reveal that at least 25 individuals accused of murder and rape, identified by Delhi Police facial recognition software at Jantar Mantar, were supposed to be behind bars.

  • Delhi Police facial recognition software flagged 2,873 history-sheeters during protests at Jantar Mantar.
  • At least 25 individuals accused of heinous crimes like murder and rape were found present despite being officially in jail.
  • The Supreme Court has ordered a fresh FIR to probe approximately 2,800 alleged criminals.

A massive security discrepancy has surfaced following protests at Jantar Mantar in Delhi. According to official records, the facial recognition software utilized by the Delhi Police identified at least 25 individuals accused of serious crimes, including murder and rape, who were legally documented as being in custody.

The investigation gained momentum when police sought to probe 2,873 history-sheeters present at the site. Shockingly, 162 of these individuals were flagged as being 'supposed to be in jail.' This revelation points toward a significant breakdown in the tracking and monitoring of high-risk offenders within the capital.

Read Also:Man and Daughter Found Dead in Kasaragod Rented House

Why This Matters

BozokMedia analysis shows that this incident highlights a critical disconnect between digital criminal databases and ground-level law enforcement execution. If high-profile criminals can bypass incarceration to participate in public protests, the integrity of the entire judicial and policing framework is called into question.

The presence of incarcerated suspects in public spaces represents a systemic failure in both prisoner management and real-time surveillance accuracy.

In response to the gravity of these findings, the Supreme Court has ordered the registration of fresh FIRs to investigate the whereabouts and activities of around 2,800 alleged criminals. Saurav Das, spokesperson for the CJP, has emphasized the need for immediate accountability.

Historical Background

Delhi has seen an increasing reliance on Artificial Intelligence (AI) and Facial Recognition Technology (FRT) for crowd management and crime prevention. However, the accuracy of these tools is frequently debated, especially when the underlying data regarding criminal status is outdated or poorly synchronized.

Did You Know?: Facial recognition technology is highly dependent on the quality of the 'training data'—in this case, the accuracy of the police criminal database.

Frequently Asked Questions

Question 1: What was the core issue at Jantar Mantar?
The issue involves the identification of numerous history-sheeters, some of whom were legally required to be in prison.

Question 2: What action has the Supreme Court taken?
The Supreme Court has mandated fresh FIRs to investigate the massive list of alleged criminals identified.