The Department of Telecommunications (DoT) has made strides in the realm of technology with the advent of an Artificial Intelligence-based facial recognition tool. This tool, known as ASTR, is set to revolutionize the way fraud is detected and prevented. This article delves into the intricacies of ASTR and its implications for the IAS exam science and technology segment.

ASTR Facial Recognition - New Technology for Fraud Reduction | UPSC Notes
Understanding ASTR Facial Recognition
The Department of Telecommunications (DoT) takes pride in its innovative tool, the Artificial Intelligence and Facial Recognition powered Solution for Telecom SIM Subscriber Verification (ASTR) . This tool is designed to combat cybercrimes by identifying and obstructing potential fraudulent mobile connections.
- In 2012, a mandate was issued by the Department of Telecommunications (DoT) that required all telecom operators to share their subscriber database, including users’ photographs.
- The conception and design of the ASTR project took place between April 2021 and July 2021 under the guidance of the DoT’s unit.
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A pilot project was initiated in the Mewat region of Haryana to test the effectiveness and practicality of ASTR.
- Prior to the ASTR pilot project, Mewat had roughly 16.69 lakh SIMs, out of which nearly 5 lakh SIMs across various telecom operators were identified as fraudulent.
Functioning of ASTR
- ASTR conducts a face comparison for each face against all faces in the database , grouping similar faces under one directory.
-
ASTR concludes two faces to be identical if they match
to the extent of at least 97.5 per cent
. According to Jakhar’s paper:
- ASTR can identify all SIMs associated with a suspected face in less than 10 seconds from a database of 1 crore images.
- Once faces are matched, ASTR's algorithm uses "fuzzy logic" to find similarities or approximate matches for the subscriber names.
- The DoT permits an individual to possess nine legitimate mobile phone connections using a single identity proof.
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The ASTR
- Checks if there are more than nine connections against a single individual’s photograph;
- It sifts through the database to find if the same person has acquired SIMs under different names.
- ASTR detected as many as 6,800 connections against a single image of the subscriber, that is, the same face, but different names. In another instance, 5,300 connections were obtained using a single image.
What's Next?
- Once the DoT identifies a set of numbers acquired through fraudulent means, it shares a list of these connections with telecom operators to block.
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An analysis of over 87 crore mobile connections was conducted using ASTR in the first phase, where more than 40 lakh cases of people using a single photograph to obtain mobile connections were detected.
- After thorough verification, more than 36 lakh connections were disconnected by telecom operators.
- The same list is also shared with banks, payment wallets, and social media platforms to disengage these numbers from their respective platforms.
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