Using fingerprints to unlock mobile phones, log in to accounts, and pay for bills are already actions that many people are accustomed to. This often makes people look forward to, in the future life, can we "swipe our face" as proficiently as fingerprints? Recently, the Ministry of Human Resources and Social Security took the lead in this step and announced the complete cancellation of the eligibility for social insurance benefits. Centralize authentication and promote Internet-based biometric authentication and other service channels. Prior to this, Guangdong, Guangxi, Zhejiang, Shandong and other places have begun to use face recognition technology for social security certification.
As one of the earliest and fastest-growing artificial intelligence technologies, face recognition technology has started since the 1960s and has made many breakthroughs. Initially, face recognition relied on identifying the key points of the face, which was visually summarized as a "big circle (face) + small circle (pupil) + triangle (nose) + ellipse (mouth)" model. Up to now, face recognition technology can capture more than 30,000 feature points on the face, which can adapt to restricted scenes such as light changes and real-time movement. Among them, the optimal system recognition rate is in the case of larger sample numbers. In this case, an accuracy rate of 99.84% can be achieved, and the error verification rate is also controlled at 0.16%, which greatly exceeds the recognition level of human beings. The continuous advancement of technology has promoted a wide range of applications. Face recognition technology can be used to pay, face access control, face unlock, face withdrawal, face check in, etc., in all situations where identity verification and identification are required. With great imagination, its identification process is friendly, fast and concealed, and it is generally considered that it may replace keys, bank cards and even ID cards.
In many financial and office fields, face recognition has fully demonstrated its value. For example, the banking industry integrates it into the office system to realize the identity verification of staff during office login; in management departments such as provident fund and taxation, some businesses that need to be handled at the counter can be completed on the terminal system by swiping their faces. The reason why these methods are recognized by people is that they have effectively solved people's pain points. For a long time, many businesses such as passports, passes, social security services, driving licenses and driving licenses have to be handled in person, and in some cases, they have to go back to the residence and designated units to handle them. Naturally, there are reasons why the information database is not fully opened up. But more important is the consideration of personal information security. Taking social security as an example, there is indeed the phenomenon of ID card fraud, leading to the theft and use of social security cards and bank cards. However, it should also be noted that many rest staff are old and inconvenient to move. I was in bed for many years, and it was very difficult to travel to the social security department. If it is just to prove that "I am me", the current face recognition + public security verification technology can already ensure the accuracy and security of the information. It can be said that under the dual effect of the needs of the people and technological progress, the abolition of the unified "annual review", "allowing more data to run, and letting the masses less errands" truly reflects the people's livelihood temperature.
There are still many scenarios where face recognition technology can be applied. This is indeed encouraging, but it is also necessary to pay attention to the "double-edged sword" effect of technology. At the CCTV "3·15" evening party the previous year, the host successfully passed the security verification of a certain mobile phone application through a selfie taken by an audience on Weibo, which aroused public concern about facial recognition. A huge difference between human faces and other biometric data is that they can work from a long distance, which means that when we take selfies online or walk on the street, we may unconsciously hand over our personal information, and I don't know if they will be abused. It can be said that as cameras become more and more popular, we will truly enter the era of "weak privacy". This requires relevant companies to shoulder their social responsibilities, further regulate industry standards, and use technical means such as "desensitization" to consciously maintain the security of citizens' private data collected and stored. The government should also do something by establishing an access system, an evaluation system and other means to set various standards for face recognition technology and protection standards for citizens' privacy as soon as possible, so as to promote the standardized entry of face recognition technology into all walks of life.
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