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  /  Artificial Intelligence   /  The Barcode Face: Changing the Fate of Humans with Facial Recognition
Face recognition, Artificial Intelligence, Barcodes, Technology, Facial recognition systems

The Barcode Face: Changing the Fate of Humans with Facial Recognition

Software for identification is used to transform faces into barcodes

 

Machine learning has created software to assess a person’s particular pattern of imagery or video to a far higher degree of precision than older technology. This allows vast numbers of people to be automatically monitored while they are traveling through public space, which is unlikely to cost if they are doing human work. Software for identification transforms faces into barcodes. Computer programs that process photographs of human faces to recognize them are based on facial recognition systems. The program takes a picture of the face, calculates its features such as the distance between the eyes, nasal ridge length and the angle of the jaw, and creates a ‘template’ specific file. The software then compares the image with another image using templates and generates a score that determines how close the images are to each other. Video camera signals and pre-existing pictures such as those in driver’s license databases are common sources of images used in facial recognition.

The timeline of face recognition indicates an impressive maturation of technology in a relatively short period. Although it is possible to discuss face recognition and AI as separate mechanisms, they are intertwined. It is necessary to note that powerful face recognition has definitely been produced using some aspect of AI in the current period.

The chosen biometric benchmark continues to be facial biometrics. That’s because deploying and implementing it is simple. The end-user does not need physical contact. Besides, face detection and face match processes are rapid for verification/identification.

In order to further our understanding at a quick pace, tech giants publish their theoretical findings in artificial intelligence, image recognition, and face processing routinely. Also, Google, Apple, Facebook, Amazon, and Microsoft (GAFAM) are very much on the line.

However, there are certain drawbacks that need to be acknowledged and sorted. A major threat is that facial recognition is coupled with the broader use of video surveillance, which is likely to become more disruptive over time. This kind of surveillance devices seldom remains confined to its original function once installed. New ways of using it indicate that officials or operators find it an attractive extension of their authority. Additionally, the privacy of people is also under rough weather.

The danger of violence is a pivotal issue. In public places, including airports, the use of facial recognition relies on widespread video tracking, an invasive type of surveillance that can document personal and private actions in graphic detail. The past incidents suggest that there will be an abuse of video surveillance. After all, Video camera systems are run by humans who carry all their current prejudices and biases to the job.

As clients deploy it for criminal and civil identification applications, including surveillance and screening since 2007, facial recognition technology is expected to expand rapidly. Increased revenue in the technology is because of the large-scale ID ventures in which facial imaging is already carried out and the technology will exploit existing procedures such as driver licensing, applications for passport issuance, and registration of voters. Furthermore, it is expected that the usage of facial recognition technology in surveillance applications will increase dramatically in public and private sector applications.

 

Author: Monomita Chakraborty