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AII-1000-85101
ReportedReported by fewer than three independent publishers, with no official finding.Supporting sources are pending verification.

MGNREGA facial recognition system fails to identify worker after head shave

A facial recognition attendance system used for MGNREGA workers in Telangana failed to identify a labourer after he shaved his head for a religious ritual, requiring a woman coworker to place a hairpiece on his head for the system to recognize him. The incident highlights limitations in the technology's ability to match faces after significant appearance changes.

29 May 2026 Β· MGNREGA Β· Reliability and hallucination
29 May 2026
AII-1000-85101
Quick facts
Organization
MGNREGA (deployer)
Category
Reliability and hallucination
Country
India
Date
29 May 2026
Drafted by
Raidu Incident Detection

What happened

A labourer named Srinivas (also referred to as Malyala Srinu) from Komatipalli village in Inugurthi mandal, Mahabubabad district, Telangana, had his head tonsured at the Kondagattu Anjaneya Swamy Temple as a religious ritual offering. When he returned to work the following day, the facial recognition attendance app used under the MGNREGA scheme failed to identify him despite multiple scan attempts.

To resolve the issue, a woman labourer at the worksite placed a hairpiece over his shaved head while the supervisor re-scanned his face. The system then successfully recognized him and marked his attendance.

Reported impact

The incident raised concerns about the reliability of the facial recognition system in cases where physical appearance changes, even temporary ones, interfere with identification accuracy.

Index analysis

The system's failure to recognize the worker after a significant change in hairstyle demonstrates the technology's limitations in handling appearance variations. The incident highlights how facial recognition systems may struggle with biometric matching when key facial features are obscured or when facial proportions appear altered due to missing hair.

Classification

Organization
MGNREGA (deployer)
Category
Reliability and hallucination
Industry
Government, security and defence
Country
India
Harm status
Actual harm
Intent
Unintentional
Timing
Post-deployment
Harmed
Workers
Failure modes
Misidentification
AI systems
National Mobile Monitoring System (NMMS) app

Sources and evidence

Sources not yet published

This record was researched and written by the Index from original reporting. Its sources are still being verified by an editor, and they are listed here once that check is complete. Until then the record carries no reviewer.

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