WHAT IS FACIAL RECOGNITION [oxygen-forensic]
by CIRT Team
Facial recognition systems are bio-metric technologies capable of identifying or verifying a person from a digital image or a video frame from a video source. Facial recognition can identify a person by analyzing patterns based on the person’s facial textures and shape.
Facial recognition is said to be started in the 60s when Woodrow Wilson Bledsoe, one of the founders of artificial intelligence, manually classified faces by hand using a device (RAND tablet) to input horizontal and vertical coordinates. The metrics then were placed in a database and when a new photograph was given to the system it could retrieve the image from the database matching the individual. Nowadays facial recognition solutions have already become a part of our everyday routine. This technology is used both for personal security (e.g,. in mobile devices or ATM machines) and national security (e.g., in the airports, music fests and many other purposes).
How does it all work? Facial recognition software isolates a face from the rest of the background in the image or video. The software first recognizes the face, then measures different facial features. It recognizes these features as nodal points. A human face consists of 80 nodal points. Historically facial recognition software relied on a 2D image to identify or verify another 2D image from the database. However, today algorithms are much more powerful and uses a 3D model, which is more reliable.
What is the future of facial biometrics? The US government market — which includes federal, state and local law enforcement — is expected to soar from $136.9 million in 2018 to $375 million by 2025, according to an estimate by market research firm Grand View Research. If we take the global market, the figures are even more impressive – Facial Recognition Market Report, published by Allied Market Research, forecasts that the global market is expected to garner $9.6 billion by 2022, registering a CAGR of 21.3% during the period 2016-2022.
Facial recognition technology has already played a significant role in solving and preventing crime. Let’s look at some cases.
Generally, in the US facial recognition is already in heavy use. The Georgetown report stated facial recognition has helped the NYPD crack about 2,900 cases in more than five years of using the technology. The New York Police Department has become increasingly vocal regarding the appropriate use of this technology. Trained facial examiners review hundreds of candidate photos when attempting to identify an individual, corroborating video or photo evidence with other photos of the potential suspect sourced from previous arrests, social media posts, or other databases available to the investigators.
In Europe facial biometrics use is more rigorously controlled. However in 2016, the “man in the hat” responsible for the Brussels terror attacks was identified thanks to FBI facial recognition software.
Facial recognition technology and an information-sharing program have also proved instrumental in helping police in China to identify and track missing children. This powerful technology has already proven to be effective all over the globe.
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04 Nov 2019 - Digital Forensic