No hair, no attendance? Telangana worker finds unusual face-scan fix

A Telangana MGNREGA worker with a freshly shaved head was not recognised by the attendance app until he came up with a unique fix. The incident has raised fresh questions about how appearance changes can affect facial recognition systems.

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No hair, no attendance? Telangana worker finds unusual face-scan fix
No hair, no attendance? Telangana worker finds unusual face-scan fix

A Telangana labourer was unable to mark his attendance under the MGNREGA scheme after a facial recognition app failed to identify him because he had shaved his head, leading to an unusual fix involving a fellow coworker's hair.

The incident came to light in Mahabubabad district, where the government has recently introduced a facial recognition-based attendance system for workers employed under the Mahatma Gandhi National Rural Employment Guarantee Act (MGNREGA).

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A labourer named Srinivas from Komatipalli village in Inugurthi mandal had recently visited the Kondagattu Anjaneya Swamy Temple and offered his hair as part of a religious ritual.

When Srinivas returned to work on Thursday with a shaved head, an unexpected problem emerged.

When the worksite supervisor attempted to mark his attendance using the facial recognition app, the system repeatedly failed to identify him. Workers at the site were left confused as the technology appeared unable to match his current appearance with his existing profile after the dramatic change in hairstyle.

The situation then took an amusing turn when a woman labourer at the worksite stepped in with an improvised solution.

According to accounts of the incident, she placed her hair over Srinivas’s shaved head while the supervisor attempted another scan through the attendance app. This time, the facial recognition system successfully identified him and marked his attendance.

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Watch the video here:

The unusual workaround quickly drew attention, with many seeing humour in the moment while also raising broader questions about the reliability of facial recognition systems in situations involving changes in appearance.

The incident also emphasised possible shortcomings in the technology being used, particularly in cases where physical changes, even temporary ones, may interfere with accurate identification.

- Ends
Published By:
Yashna Talwar
Published On:
May 29, 2026 16:30 IST

A Telangana labourer was unable to mark his attendance under the MGNREGA scheme after a facial recognition app failed to identify him because he had shaved his head, leading to an unusual fix involving a fellow coworker's hair.

The incident came to light in Mahabubabad district, where the government has recently introduced a facial recognition-based attendance system for workers employed under the Mahatma Gandhi National Rural Employment Guarantee Act (MGNREGA).

A labourer named Srinivas from Komatipalli village in Inugurthi mandal had recently visited the Kondagattu Anjaneya Swamy Temple and offered his hair as part of a religious ritual.

When Srinivas returned to work on Thursday with a shaved head, an unexpected problem emerged.

When the worksite supervisor attempted to mark his attendance using the facial recognition app, the system repeatedly failed to identify him. Workers at the site were left confused as the technology appeared unable to match his current appearance with his existing profile after the dramatic change in hairstyle.

The situation then took an amusing turn when a woman labourer at the worksite stepped in with an improvised solution.

According to accounts of the incident, she placed her hair over Srinivas’s shaved head while the supervisor attempted another scan through the attendance app. This time, the facial recognition system successfully identified him and marked his attendance.

Watch the video here:

The unusual workaround quickly drew attention, with many seeing humour in the moment while also raising broader questions about the reliability of facial recognition systems in situations involving changes in appearance.

The incident also emphasised possible shortcomings in the technology being used, particularly in cases where physical changes, even temporary ones, may interfere with accurate identification.

- Ends
Published By:
Yashna Talwar
Published On:
May 29, 2026 16:30 IST

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