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Application of Face Recognition

Warm hints: The word in this article is about 1774 and  reading time is about 12 minutes.   
Guidance:  In recent years, Face Recognition technology has been implemented in more and more scenarios, whether it is early brush face payment or brushing face rides. Nowadays, there are also fresh attempts to brush the toilet paper, brush your face and throw garbage or even brush your face to buy Maotai. It has a strong trend of infiltrating all walks of life. 

In recent years, Face Recognition technology has been implemented in more and more scenarios, whether it is early brush face payment or brushing face rides. Nowadays, there are also fresh attempts to brush the toilet paper, brush your face and throw garbage or even brush your face to buy Maotai. It has a strong trend of infiltrating all walks of life.

Contrary to the continuous imposition of laws and regulations in the United States to prohibit face recognition technology, China has been very active in advancing and landing the technology. The most important thing in the generation and application of new technologies is to solve the current pain points and benefit the people’s livelihood. Under the circumstances that the current verification method can also meet the demand well, what is the application of face recognition technology? Face recognition technology has been repeatedly criticized, how can we protect our privacy?

What pain point does face recognition solve when the scene is wider and wider?

Face recognition has become a trend. Various fragmentary reports on face recognition have been common for a long time, some of them are still being steadily promoted, and some of them have already ended quietly. However, when discussing whether a technology has the ability to achieve large-scale applications, we must think from two dimensions: technology and business model.

First of all, no matter how commercially packaged, face recognition technology can not be regarded as such a cutting-edge technology. Large foreign technology companies, such as Amazon, Google and so on, have been using it for a long time. Despite the large volume of domestic applications, the basic research of artificial intelligence behind face recognition technology shows that China’s level is still not higher than that of the United States.

However, China’s commercial pace is much faster than that of the United States. According to data from research institutes, in 2016 alone, the market size of China’s video surveillance system, including equipment and video management software, reached 6.4 billion US dollars. Government and private enterprises have installed 176 million surveillance cameras, ranking the top in the world. And in the next five years, the compound growth rate of this business in China will reach 12.4%. Face recognition will only be used more widely.

By analyzing the application scenarios of face-brushing station and face-brushing brake, the application of face recognition technology has not solved the pain points of speed and accuracy. Since this year, Shenzhen, Jinan and other cities have opened the service one after another, and Beijing is also planning to promote it. At present, it has also become a landmark application of urban intelligence, which is sweeping more cities.

Taking Jinan as an example, Jinan Metro Line 1 is the first Metro Line in China to adopt 3D face recognition locks. Each entry and exit station has a gate to achieve face brushing. The head of material management department of Jinan Rail Transit Group said: “This equipment integrates the frontier science and technology such as mobile payment and biometrics, and extracts face information through big data acquisition. Passengers can be completely separated from identity cards, bus cards and other media. After successful registration, they do not need to carry any cards.

However, after a series of downloading, registration, login, information input, payment binding and other processes, it can eventually achieve an average one minute through 33 people, that is, about 2 seconds through 1 person; according to statistics, the use of Metro cards, two-dimensional codes and other means can pass more than 20 people, less than 3 seconds through 1 person.

From the comparison of data, it can be seen that the speed has not been significantly improved, and under the influence of light, skin color and other variables, the accuracy of face recognition will fluctuate and be unstable. More importantly, in such scenarios and trading scenarios, face recognition will remain one of the many payment options in the long term, and will not be the only choice. Not to mention the “false demand” of brushing face and throwing garbage, brushing face and taking toilet paper.

Why does the United States show such a refusal when bans are frequent?

Compared with the domestic efforts to promote the landing of face recognition technology, the way the United States treats this technology seems very “extreme”. In May, San Francisco formally banned the use of face recognition technology in government and law enforcement agencies. More and more cities, such as Oakland, California, Massachusetts, are considering banning or suspending the use of the technology. In early June, Microsoft announced the deletion of its public face recognition database, MS Celeb.

Objectively speaking, face recognition technology in the United States has always been at the forefront of industry research, and has already taken action at the commercial level. However, the accuracy of face recognition technology can not reach 100%, and the accuracy of different races varies greatly, which means that when different races pass the security check through the face recognition technology, some colored races will be more tested. This is politically incorrect in the United States.

In addition to questioning the technology itself, Americans are more concerned about the hidden dangers of privacy and security. The support behind face recognition technology is massive data. If privacy data is stolen, your face will no longer be your face. It may belong to anyone. And with smart speakers coming into more homes, Americans are anxious that Amazon Echo and Google Home, the world’s most shipped products, are frequently violating privacy and security issues, from voice to portrait.

Americans’refusal attitude also shows a new trend: while changing from weak AI to strong AI, more and more people are turning their attention to the development of technology itself to consider more factors related to humanities and ethics. Where is the boundary of AI application and how to improve the transparency of the algorithm has become a problem that must be solved before enterprises and countries.

First of all, although our country’s “Network Security Law” clearly incorporates personal biometric identification information into the scope of personal information, the use, storage, transportation and management of information still need to be further refined.

Secondly, trade norms should be combined with legal norms. For enterprises in the field of subdivision, it is necessary to further clarify standards, strictly enforce market access, and avoid causing industry chaos from the source.

Thirdly, the application boundaries of face recognition technology are clarified to maximize the effectiveness of the technology itself. Face recognition technology is the most widely used technology in the field of security. In 2018, the total output value of security industry reached 718.3 billion yuan, accounting for 0.8% of GDP. It plays a decisive role in terms of market size and social importance. Face recognition technology is used in arresting fugitives, screening illegal persons, investigating missing persons and many other aspects, which will greatly save the cost of public security personnel, more convenient and efficient fight against crime and serve the masses. Standing at the current time node, this application becomes very important.

How can computer vision companies seize the market under the pattern of “four superpowers, multi-powers and N-followers”?

For decades, computer vision, as the deepest technology in artificial intelligence systems, has been a topic of interest and research, and is currently the most widely used application. One of the technologies. Since 2015, based on China’s artificial intelligence policy and the deep cultivation of artificial intelligence enterprises, China’s face recognition technology has ushered in a period of rapid development, and a large number of outstanding start-ups have begun to emerge.

application of  face recognition
application of face recognition

as seen from the above picture, domestic The company that focuses on computer vision has clearly formed the pattern of “four super multi-strong N follow” in the development process in recent years.

“four super” is the business Tang Technology, Defiance Technology, Etu Technology and Yun Cong Technology are also recognized as “CV Four Little Dragons” in China. From the chart, we can see that these four companies have penetrated into the security market and formed a fierce market competition. According to the “2018 China Security Industry Survey Report” released by CPS in the CPS, the total market share of computer vision companies represented by these four companies in the security field reached 69.4%.

However,At present, the security market still faces competition from companies such as Hikvision and Dahua. At the same time, the industry still has computational bottlenecks and a large number of unstructured and semi-structured data pre-processing problems. This is a better request for the “CV Four Little Dragons”.

“How strong” refers to the star startups such as Glings, the fourth paradigm, and the development strength can not be underestimated. Taking the fourth paradigm as an example, it is the only start-up enterprise for the joint investment of China’s five major banks. More than half of the important domestic state-owned banks and national joint-stock banks are the fourth paradigm customers. The assets of the financial institutions currently serving exceed 50 trillion. The head financial customer share is over 70%. Technology catches up with the international level, and the market positioning is relatively accurate has become a typical feature of this group of start-ups.

“N Follow” refers to a large number of AI that have emerged in the past two years, such as Zhongke Huiyuan and Vision Technology. Start-up companies, the application scenarios they cut into are more detailed, and they have begun to consciously evade the highly competitive security and financial markets.Zhongke Huiyuan has cut into the field of mobile phone cover glass inspection in industrial appearance inspection. Vision Technology has chosen the visual inspection field of the textile industry to solve the pain points in the industry in different ways, and to reduce costs and increase efficiency for enterprises.

In the process of computer vision technology, algorithms and data are no longer the barriers to current competition, only in the vertical field and technical depth Coupling application scenarios and in-depth mining, in order to truly make the company’s road go longer. On this basis, the real realization of the benefit of people is the direction that all technology companies must think about.

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