Any kind of emerging technology, will be in the twists and turns in advance. From the initial Internet bubble to the pervasiveness of the current mobile Internet; from the suspicion of online shopping to infiltrating millions of households now; from CCTV (Central Monitoring System) to the current network cameras ... emerging technologies are generally the development process: the bubble At the beginning, the impact on people's perception of the concept of the general; after the bubble, after the precipitation and accumulation of technology, the rapid development again rapid spread.
Face recognition is also true: QQ face recognition landing, Netease mailbox login face recognition, the first decade of this century, visible light face matching system, infrared face access control, etc., are foreshadowed the application of face recognition technology The climax prelude is approaching, which makes people have some recognition and understanding of face recognition, but has not yet reached universal. However, a wave of ups and downs, wave after wave. Face recognition After a period of technology precipitation and development, can be predictable, a new round of tide is approaching, and surging!
First, the face recognition technology has unmatched advantages:
Face recognition technology, as soon as it came out, has drawn much attention because of the incomparable advantages of face recognition compared with other biological recognition methods such as fingerprinting and iris:
Visibility This is very much in line with the idea of ​​face recognition, just need to see a person's face, you can know who this person is. Based on this, but also as a follow-up evidence. Fingerprints, irises and other biometrics can not do this.
2. Do not need or need little people. Fingerprints and iris basically need people to actively cooperate to be completed, and face recognition is not required, which determines the face recognition application scenarios more widely.
3 does not require specialized equipment support. Now the lens is everywhere, filled with high-definition video cameras, a smart phone hand, you can capture or capture face, which determines the application of face recognition can be unlimited.
Second, face recognition technology is divided into two types: visible light face recognition and active light source face recognition
1. Active light source based face recognition:
Now have a wider range of applications, the national shipments in 2012 in the hundreds of thousands of units around, in addition to the traditional attendance, access control, has been widely used in social security, examinations, driving school, entrance control, sign and other major areas . In addition, the application based on some special industries is gradually popularized. For example, fatigue detection using face condition and eye closure has been successfully and widely applied to the train driver's fatigue warning. By judging whether the face is positive and not Eyes closed, from the camera, as the basis for social security or other documents, without the need for human involvement; in the ATM by judging whether the face block, to confirm whether there is a certain crime suspects and so on. Face recognition based on active light source, because of the active light source, so the light is not affected, but the accuracy is very high, up to 99.99%, but his disadvantage is the need for human cooperation, the distance and angle have more stringent restrictions , And need special equipment to support.
Is the need to focus on the technical direction. Visible light face recognition, from a technical point of view can fully achieve the commercial level, from 100,000 picture database, more accurate detection of whether the same person, which in the past technology, is not imagined.
In addition, since many existing hand-held devices, such as mobile phones, PADs, and many other locations have lenses, he does not need any special equipment to support his face recognition. Therefore, the application range of visible light Will be more extensive.
Also based on the above points, I am very confident that visible light face recognition will set off a huge storm. As a Typical Application: PayPal, the world's largest online payment company, piloted this technology in the United Kingdom - giving consumers the convenience of "no-card spending" through face recognition. It is foreseeable that the future of visible light face recognition will be limitless.
Third, visible light face recognition technology can be applied in what areas?
1. Face payment:
Now the payment method is confirmed by card and password or signature, which is very risky, because once someone impersonates, it is impossible to know who is posing. If the card + face way, who would dare to impersonate? Once impersonated, the face on the payment is the photo of the wanted criminal, the police arrested you did not discuss. Of course, face payment there are many ways.
2.VIP recognition:
Who is this person? This application is suitable for many occasions. For example, businesses need to know if VIP customers are coming? Police need to know where the suspects appear?
3. Identification records and certification:
Social security, insurance (assured assured), second-generation ID cards, suspects, immigration officers and many other fields have a huge database of photographs, but the current identity of these people require human participation. If using visible light face recognition, will be able to automatically identify people's identity, massive face database data will be fully utilized, greatly improving efficiency, safety, and is identifiable and documented.
4. Mobile Internet:
Because most phones now have shots, then face recognition based identity registration, authentication, login, etc., will become more secure and convenient. For example, register a card, you no longer need to go to the business hall, identity authentication does not need to go to the business hall, just take a photo, fill in some information on it, greatly simplifying procedures, but also indirectly expand the registered users quantity.
Based on visible-light face recognition, the above is only a small part of that, as more people are concerned, more of our unexpected applications will be reflected.