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Facial recognition

Facial recognition
Arivon Technologies enables to explore the latest trends on Facial Recognition and utilize the maximum benefits of this Technology. Please visit www.arivontech.com for more details. Contact us [[email protected]](mailto:[email protected]) .
Facial Recognition
Face recognition describes a biometric technology that attempts to establish an individual’s identity. Also known as facial recognition or face detection, the process works using a computer application that captures a digital image of an individual’s face (sometimes taken from a video frame) and compares it to images in a database of stored records.

https://preview.redd.it/hwiqxvakd9n21.jpg?width=485&format=pjpg&auto=webp&s=9bdbf5a902ae117e3d2994ab87ac0eccc4413dae
How Facial Recognition Systems Work:
Anyone who has seen the TV shows "Las Vegas" has seen facial recognition software in action. In any given episode, the security department at the fictional Montecito Hotel and Casino uses its video surveillance system to pull an image of a card counter, thief or blacklisted individual. It then runs that image through the database to find a match and identify the person. By the end of the hour, all bad guys are escorted from the casino or thrown in jail. But what looks so easy on TV doesn't always translate as well in the real world.

https://preview.redd.it/kwmwjmymd9n21.jpg?width=269&format=pjpg&auto=webp&s=06d5bba6dc8641eebecfde4f4d469dffde5bbd72
The Police Department in many countries has installed cameras equipped with facial recognition technology in their Cities to cut down on crime in the area.
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Face Recognition

Face Recognition
Artificial Intelligence - FACE RECOGNITION
Arivon Technologies enables to explore the latest trends on Artificial Intelligence - FACE RECOGNITION and utilize the maximum benefits of this Technology. Please visit www.arivontech.com for more details. Contact us [[email protected]](mailto:[email protected]) .
It is used to identify a person by recognition his face. Now a days we are using Software to automate the process in systems. Those are several types, those are given below.
  • Recognition from outdoor facial images.
  • Recognition from non-frontal facial images.
  • Recognition at low false accept/alarm rates.
  • Understanding why males are easier to recognize than females.
  • Greater understanding of the effects of demographic factors on performance.
  • Development of better statistical methods for understanding performance.
  • Develop improved models for predicting identification performance on very large galleries.
  • Effect of algorithm and system training on covariate performance.
  • Integration of morphable models into face recognition performance.
  • Understanding the video sequences in FRVT 2002 did not improve performance.
  • Face recognition are using for government departments to easy their daily day process.
  • Face recognition are using for security lock purpose also.

Fig : Face Recognition
How Facial Recognition Systems Work
Anyone who has seen the TV show "Las Vegas" has seen facial recognition software in action. In any given episode, the security department at the fictional Montecito Hotel and Casino uses its video surveillance system to pull an image of a card counter, thief or blacklisted individual. It then runs that image through the database to find a match and identify the person. By the end of the hour, all bad guys are escorted from the casino or thrown in jail. But what looks so easy on TV doesn't always translate as well in the real world.
In 2001, the Tampa Police Department installed police cameras equipped with facial recognition technology in their Ybor City nightlife district in an attempt to cut down on crime in the area. The system failed to do the job, and it was scrapped in 2003 due to ineffectiveness. People in the area were seen wearing masks and making obscene gestures, prohibiting the cameras from getting a clear enough shot to identify anyone.
Boston's Logan Airport also ran two separate tests of facial recognition systems at its security checkpoints using volunteers. Over a three month period, the results were disappointing. According to the Electronic Privacy Information Center, the system only had a 61.4 percent accuracy rate, leading airport officials to pursue other security options.
Humans have always had the innate ability to recognize and distinguish between faces, yet computers only recently have shown the same ability. In the mid 1960s, scientists began work on using the computer to recognize human faces. Since then, facial recognition software has come a long way.
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Top 10 Las Vegas Casino Demolitions - YouTube

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