Facial Recognition Technology: It is a technology capable of matching a human face from a digital image or a video frame against a database of faces, typically employed to authenticate users through ID verification services, works by pinpointing and measuring facial features from a given image.
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The Need Of The Technology:
To facilitate investigation of crime and detection of criminals. Facial recognition is used when issuing identity documents and, most often, combined with other biometric technologies such as fingerprints (preventing ID fraud and identity theft). Face match is used at border checks to compare the portrait on a digitized biometric passport with the holder’s face.
Issues With This Technology:
1. Totally intrusive technology.
2. The error rate in recognition is high, though modern tools like machine algorithm has reduced the chances of error, but probability of error can’t be denied.
3. Potential to be used for profiling based on caste, religion. Ex:- china using the technology for Uighyur muslims.
4. There is a possibility of producing false positives, it means algorithm producing incorrect match, even when there is none.
The Benefits Of This Technology:
1. Law agencies used it to find missing children, combining facial recognition with ageing software to predict how children would look several years on and find them even when they’ve been missing for years.
2. Strengthens security measures in banks and airports.
3. One surprising use of facial recognition technology is the detection of genetic disorders.
Notably: But some will say it is unconstitutional, it is making India a surveillance state.
How The System Works:
Face Detection
The picture of the targeted face is detected/captured from a video or photo.
Face Analysis
The system will read the geometry of the targeted face. After that, it will match the picture with those in a database. The system examines different nodal points of a human face, such as space between eyes, the shape of cheekbones, etc.
Converting an Image to Data
In the 3rd step, face analysis is then turned into a numerical code known as a face print. Every person has a unique face print.
Finding a Match
In the last step, the face print or code is compared against other face prints from a database. The database usually contains pictures with identification, which can be compared.
The Unique Case Of India:
1. Technology does not have any statutory basis.
2. Benefits is outweighing the impact or not, cannot be said with certainty.
3. There should be strong data protection law before implementing this technology.
Conclusion: This should be use but un- regulated use can not be accepted.
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