UIDAI makes face recognition feature mandatory for Aadhaar authentication
New Delhi : The Unique Identification Authority of India's (UIDAI) plans to implement the face recognition feature as an additional mode of Aadhaar authentication are yet to take off, but that has not stopped it from making it a mandatory requirement ahead of the scheduled rollout.
Last week, the authority tasked with issuing the 12-digit biometric number finally announced a phased rollout of the feature, starting with telecom service providers from September 15. The plan was to implement it by the previous deadline of August 1 that had failed due to the non-readiness of some device providers.
However, it is unclear if the UIDAI has face recognition data as it had only taken Iris scan details of those applying for Aadhar card.
According to The Times of India, UIDAI has announced a new measure that seeks to mandate facial recognition - by taking on-the-spot live pictures - for every authentication that requires Aadhaar. Services that most commonly require Aadhaar authentication include banks, the public distribution system and issuance of a mobile SIM card, new as well as replacements.
Explaining how the new system would work, UIDAI CEO Ajay Bhushan Pandey said that whenever an individual would seek authentication based on Aadhaar, the authorised machine/device being used for the purpose would also capture a picture of the face of the individual. The photo, along with the fingerprint or iris scan, would be sent to UIDAI, which will verify the details on its database, and thereafter send a confirmation of the authenticity of the individual based on the above. Pandey added that the authentication process is very sophisticated and will not be impacted by changes to a person's face, say, growing a beard.
Significantly, the UIDAI further stated that live face photo capture and its verification with the photo obtained in eKYC will be essential where Aadhaar is used for issuance of SIMs. For authentication agencies other than TSPs, the body said specific instructions will be issued on implementing this new feature but did not specify a fresh deadline.
"Face authentication is the latest technology, and provides added security. After we hit 10 per cent of authentication transactions, we will have a review of any possible shortfalls that we notice in the system or processes. Thereafter, we will expand, within telecom and also to other service areas where separate instructions shall be issued," Pandey told the daily.
Citing sources, the report added that failure to follow the process will be treated as a criminal offence by authentication agencies, punishable with imprisonment and fine under Section 42 and 43 of the Aadhaar Act, 2016.
According to UIDAI, the measure is being used to provide an added security layer, while also making the Aadhaar process more inclusive while curbing the possibility of fingerprint spoofing or cloning. "There have been numerous instances where people have been excluded from Aadhaar authentication as their fingerprints are worn out due to old age, or since they are involved in manual labour or agriculture. The use of facial recognition will help include such people in the Aadhaar authentication process," Pandey added.
The body has also proposed a monetary disincentive for telcos for non-compliance. "TSPs (telecom service providers) are hereby directed that with effect from September 15, 2018, at least 10 per cent of their total monthly authentication transactions shall be performed using face authentication in this manner. Any shortfall in transactions using face authentication would be charged at Rs 0.20 (20 paise) per transaction," read a recent UIDAI circular.
Meanwhile, the Supreme Court continues to hear petitions challenging Aadhaar's constitutional validity.
courtesy: businesstoday.in
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Three men arrested in Karnataka's Hubballi over rape, circulation of videos
Hubballi (Karnataka) (PTI): A 35-year-old woman was allegedly raped by two men here, and photos and videos of the incident were circulated on a messaging platform, police said on Sunday.
Two men accused of raping the woman and a third person who circulated videos of the incident have been arrested and will be produced in court, police said.
The woman is stable and undergoing medical examination, police said.
Hubballi-Dharwad Police Commissioner N Shashi Kumar said the incident occurred between 11.30 pm and midnight on January 9, when the woman was allegedly taken in an auto-rickshaw from Ambedkar Ground.
"The two men misbehaved with her, made physical contact, and allegedly forced her to consume alcohol. They took photos and videos before dropping her back at Ambedkar Ground," he said.
Police said they learned of the incident after members of the public received the photos and videos and alerted authorities. The woman was later traced in Hubballi city.
"Her identity was initially not known. Inquiry revealed she had been staying near temples in different parts of the city for the past one-and-a-half months and was eating at Siddharoodha Math," the commissioner said.
Police initially registered a case on their own, and a formal complaint was recorded after the woman was traced, he said.
Based on the complaint, a case was registered for rape and, under the provisions of the Information Technology Act, for recording and circulating the photos and videos.
The commissioner stated that the woman had arrived in Hubballi approximately one and a half months prior from another district, following a dispute with her husband.
The man was arrested in connection with that incident and is currently lodged in Shivamogga jail.
Police identified Shivanand and Ganesh as the accused in the alleged rape, and Pradeep as the accused of circulating the videos. All three worked as labourers, he said.
Police said some residents in the Old Hubballi area allegedly assaulted and tonsured Shivanand and Ganesh after learning of their involvement.
A separate case was registered after Shivanand filed a complaint, and four people were taken into custody, police said.
The commissioner said officials have been directed to identify homeless women and children near public places and place them in rescue and rehabilitation centres.
