Facial Recognition System

Context:
- It can be supported by a Face Detection System (that supports an automated face detection task).
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Example(s):
- Amazon Rekognition.
- BetaID.
- BioID.
- Cognitec.
- …
Counter-Example(s):
- a Street Sign Recognition System.
- a Iris Recognition System.
- a Fingerprint Recognition System.
- a Skin Disorder Recognition System (for skin disorder recognition).
- a DNA Recognition System.
See: Identification of Human Individuals, Biometrics.

References

https://www.toolbox.com/it-security/identity-access-management/articles/facial-recognition-software/
- QUOTE: ... Facial recognition software (FRS) is defined as a biometric tool used to match faces in images, usually from photos and video stills, against an existing database of identities. ...
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(Wikipedia, 2020) ⇒ https://en.wikipedia.org/wiki/facial_recognition Retrieved:2020-2-26.
- Facial recognition system, an automated system with the ability to identify individuals by their facial characteristics

(Wikipedia, 2020) ⇒ https://en.wikipedia.org/wiki/Facial_recognition_system Retrieved:2020-2-26.
- A facial recognition system is a technology capable of identifying or verifying a person from a digital image or a video frame from a video source. There are multiple methods in which facial recognition systems work, but in general, they work by comparing selected facial features from given image with faces within a database. It is also described as a Biometric Artificial Intelligence based application that can uniquely identify a person by analyzing patterns based on the person's facial textures and shape. While initially a form of computer application, it has seen wider uses in recent times on mobile platforms and in other forms of technology, such as robotics. It is typically used as access control in security systems and can be compared to other biometrics such as fingerprint or eye iris recognition systems. Although the accuracy of facial recognition system as a biometric technology is lower than iris recognition and fingerprint recognition, it is widely adopted due to its contactless and non-invasive process. ^[1] Recently, it has also become popular as a commercial identification and marketing tool. Other applications include advanced human-computer interaction, video surveillance, automatic indexing of images, and video database, among others.

↑ Zhang, Jian, Yan, Ke, He, Zhen-Yu, and Xu, Yong (2014). "A Collaborative Linear Discriminative Representation Classification Method for Face Recognition. In 2014 International Conference on Artificial Intelligence and Software Engineering (AISE2014). Lancaster, PA: DEStech Publications, Inc. p.21

https://www.washingtonpost.com/crime-law/2020/02/19/axon-rolls-out-next-level-police-technology-live-streaming-body-cameras/
- QUOTE: ... The Axon software will have AI for face detection, not facial recognition, Smith said. This will enable officers to quickly find parts of video that have people in them and also to more quickly redact faces when footage is needed for wider dissemination. Smith said this will cut officers’ search times by up to 80 percent. …