Face Scan Repeatedly Rejects Bald Labourer, Female Worker’s Hair Helps Mark Attendance

A bizarre incident from the Mahabubabad district of Telangana has sparked widespread discussion over the reliability of digital services used for rural workers. A labourer reportedly faced repeated failures while marking attendance on the National Mobile Monitoring System (NMMS) app after shaving his head during a temple visit.

According to the various reports widely shared on social media, the app’s facial recognition feature failed to identify the worker because of his changed appearance after the tonsure.

A Strange Hack That Finally Worked

The unusual problem was eventually solved in an equally unusual way. Fellow workers reportedly placed a woman labourer’s hair cover on the man’s shaved head, after which the facial recognition system finally accepted his attendance.

The bizarre workaround quickly went viral online, drawing both laughter and criticism. While many social media users reacted with amusement, others pointed out the serious flaws of relying too heavily on technology for welfare schemes that millions of people depend on.

People Raise Concerns Over App Glitches

The incident has once again drawn attention to the ongoing issues with the NMMS app , with several netizens reacting on X over its alleged problems.