Full Form of FRT

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FRTstands for

Facial Recognition Technology

What is FRT?

Facial Recognition Technology (FRT) is a biometric technology that identifies or verifies a person's identity by analyzing facial features from images or video frames. In India, FRT has been adopted across various sectors, including law enforcement, border security, airport check-ins, student attendance, and even banking for customer verification. Government agencies such as the Unique Identification Authority of India (UIDAI) have explored integrating FRT with Aadhaar for seamless authentication, while police forces in states like Delhi and Telangana use it to identify suspects from surveillance footage. The technology relies on deep learning algorithms, typically powered by artificial intelligence, to map facial landmarks and match them against databases. While proponents emphasize its efficiency in crime detection and service delivery, critics raise serious concerns about privacy, consent, and potential misuse by state authorities. As India pushes its Digital India initiative, FRT has become a hot topic in policy debates and legal cases before the Supreme Court. For competitive exams like UPSC, understanding FRT's operational mechanism, constitutional implications, and global examples is crucial for questions on technology ethics and data protection.

FRT का फुल फॉर्म

चेहरा पहचान तकनीक

Example

The Delhi Police recently deployed FRT at the railway station to track missing persons and prevent crime.

FRT — frequently asked questions

What is the full form of FRT?
The full form of FRT is Facial Recognition Technology, a biometric system used to identify individuals by analyzing facial features.
Is FRT used in Aadhaar authentication?
Yes, UIDAI has piloted FRT for Aadhaar authentication as an alternative to fingerprints or iris scans, though its widespread rollout remains under review due to privacy and accuracy concerns.
What are the privacy concerns with FRT in India?
Critics argue that FRT can enable mass surveillance without consent, lead to false positives for marginalized communities, and violate the right to privacy recognized by the Supreme Court in 2017.
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