Analysis on the Industry Development of Intelligent Face Recognition Technology

With the acceleration of the construction of safe cities and smart cities, various security equipment and technical means can be seen everywhere, especially the face recognition technology has developed rapidly. From traditional physical security to network security to APP and other terminal applications, it is not used. Ten years. Compared with the past industry applications, intelligent analysis and identification from the background alarm slowly to the front desk certification development, with more direct, more exposed, simpler results for early warning display, the birth of this application fundamentally solved the fraud, impersonation, The occurrence of criminal acts such as forgery, from "control" to "defense" is the most fundamental change in current social applications.

First, the application of innovative performance

In recent years, the biggest innovation in face recognition has been the development of “formula calculation” to “calculation formula”. With the breakthrough of technology (light, angle, posture, etc.), face recognition presents industry division. Through intelligent algorithms of self-learning, the system automatically calculates and “learns” more suitable for certain environments, certain changes, and certain characteristics. The "brain-like algorithm", even the inventor of the algorithm, cannot know the specific cause of the algorithm. Therefore, with the development of deep learning technology, face recognition technology has a quantitative development. The transformation from product intelligence to system intelligence brings the intelligence of big data, thus realizing the data analysis construction of smart cities. Serve the people more intelligently, more accurately and more conveniently. From this point of view, the future face recognition product form should tend to "five", that is, miniaturization, simplicity, terminalization, networking, and intelligence. “Miniature” means that the product is small enough to be integrated; “simplification” means simple operation, which can be done with one button or no key; “terminalization” means that it can be carried around; “networked” means that it can be carried out without boundaries. "Intelligent" means that the system is universal and can respond to commands in an instant, such as smart wearable devices.

Second, the problem of development

In the era of intelligent mobile internet, face recognition detection technology is very mature and used in common electronic digital devices. Detection technology has entered the development of industrialization, but face recognition technology is due to price, market, technology, hardware and network. The limitation of the other is still in the process of industrialization. Face recognition technology is the most advanced application of face recognition. Due to its technical difficulty and strong pertinence, it is mainly used in professional fields, such as airport control and public security comparison.

1. The impact of face recognition development

Under the current development trend of cloud computing, big data, and the Internet, the impact and contradiction of face recognition development are concentrated in three aspects: data security, data control, and data standards:

First, cloud computing can speed up the process of learning, but data security cannot be guaranteed by the "cloud."

Second, the generation of big data provides opportunities for face recognition, and is also plagued by “spam”. A large amount of useless information reduces the system judgment process, affects the recognition accuracy of the system, and destroys the self-learning ability of the system.

Third, face recognition does not have a unified national standard. Diverse data types cannot be used. Diverse data results cannot be exchanged. Multiple data sets cannot be analyzed. Therefore, it also affects the integration analysis of large platforms, resulting in slow results in information construction. .

2. Technical difficulties

In public security applications, face recognition technology currently needs to break through three difficult points:

First, the most need to break through is the support of national policies and the formulation of national standards. National policy represents the latitude of positions and funds in one aspect. If the industry needs, if the policy can give support, and the funds give some encouragement, then the market is huge. Standards are more important in the face recognition industry. For example, to apply face recognition technology on mobile phones, it is necessary to first unify the camera's photo accuracy, size, size, etc., the collection source should be unified, and the comparison source must have a unified standard, except The second generation certificate is relatively standard (but not open), and other photo libraries from the network or video cannot have good results.

Second, face recognition also needs to break through its own technical problems, such as light, angle, and posture. Simply going from a technical point of view still takes a long way, so the support of hardware peripherals, such as fill light, infrared light, camera installation height, matching person, etc. can effectively solve the above problems.

Third, on the large database face system, it is necessary to further improve the accuracy and speed of the comparison. In the era of modern database, the face database is constantly increasing and increasing. Whether face technology can be applied, used and used easily, it also needs the development of network, large server, terminal data collection quality and other factors, so the face Technology itself depends on the development of the overall science and technology of the society, and it is currently the biotechnology that is most suitable for mass production in society.

Third, application potential and trends

With the popularization and replacement of second- and third-generation ID cards, coupled with the requirement of “integration of people and certificates” required by various industries, it has brought huge business opportunities to face recognition, in public security, national security, telecommunications, customs, transportation, finance. Industries, sectors such as social security, medical care, education, industry and commerce, industrial credit and other civil security control have a wide range of needs and have extremely broad market application prospects.

At present, the reconnaissance methods of public security organs in China are mainly criminal investigation, technical investigation, network investigation and image investigation. With the increase of security city monitoring outlets, the means of image detection has become the main means of reconnaissance. The identity of criminal suspects who have fake or no identity documents is widely used in public security criminal investigation, public security, traffic patrol, and household registration. Using the face recognition technology, it is only necessary to take the suspect image and transmit the image feature data to the computer center database through the computer network. The system can automatically compare the face image in the face image database to quickly and accurately determine the identity. The “smart city” in recent years has also boosted the application of face recognition.

With the development of China's social economy, various types of economic activities are becoming more frequent, the floating population is increasing rapidly, and various fake identity documents are flooding. With the help of face technology, the security and correspondence of identity documents can be fundamentally realized. At the same time, face recognition It also provides a strong technical guarantee for the second-generation ID card that has been promoted and used by the public security household registration management department. Based on the total population of 1.376 billion in mainland China, this market capacity is undoubtedly huge.

There are more than 80,000 public security bureaus and police stations in the country, nearly 9,000 prisons and detention centers, and 220,000 financial institutions. The number of netizens has reached 668 million, the number of mobile phone users in China is 1.306 billion, and there are 291 prefecture-level cities and 358 in the country. County-level cities, preliminary estimates, in the relevant industry sectors in China (such as public security, national security, military, financial, etc.), the total market capacity of face recognition products is more than 10 million sets, if combined with commercial and civilian use, the market The value is trillions. This does not include overseas markets and service charges. Therefore, it should be clearly recognized that face recognition is a technology with great growth potential, and such a potential application is still in its early childhood, so every effort in the security industry will be beyond imagination in the future. Return.

In the computer information system security control, e-commerce, e-government and many other aspects, there is an urgent need for anti-counterfeiting and anti-counterfeiting performance authentication technology to replace the user account/password/digital certificate mode currently widely used. According to the National Institute of Standards and Technology/Federal Information Processing Standards, "Although relying on passwords is a traditional method of identity authentication, the security of this method is not satisfactory. In this case, it needs to be more advanced and safer. The performance-price ratio of higher authentication methods to meet the needs of all aspects of society. Biometrics, especially the practical face recognition technology, undoubtedly provides a practical and comprehensive solution for a large number of users. With the second generation The three generations of certificates will be updated and replaced, and biometric technology will become the most important technology in the IT industry in the next 30 years.

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