Facial recognition is a database matching system that uses an algorithm to identify a person based on a digital map of their face. There are two main applications for this technology:
The first is identification verification. In this, a face map is obtained to match a person’s photo in a database to validate their identity.
Second, there is identity 1-n identification. In which a face map is made from a photo or video and then matched with the whole database to find out who is in the photo or video.
What is the story so far?
According to information obtained through the Right to Information (RTI) Act by the Internet Freedom Foundation, a New Delhi-based digital rights organisation, the Delhi Police considers matches with a similarity threshold of 80% or higher created by the FRT system to be successful.
Facial recognition is a database matching system that uses an algorithm to identify a person based on a digital map of their face. There are two main applications for this technology:
The first is identification verification. In this, a face map is obtained to match a person’s photo in a database to validate their identity.
Second, there is identity 1-n identification. In which a face map is made from a photo or video and then matched with the whole database to find out who is in the photo or video.
What is the story so far?
According to information obtained through the Right to Information (RTI) Act by the Internet Freedom Foundation, a New Delhi-based digital rights organisation, the Delhi Police considers matches with a similarity threshold of 80% or higher created by the FRT system to be successful.
