preface
With the rapid development of the economy and the continuous improvement of the level of science and technology, the development and application of computer technology has become the focus of scholars. In particular, the research on artificial intelligence recognition is becoming more and more in-depth, and its application is becoming more and more extensive. The application of artificial intelligence recognition technology not only improves the efficiency of production, but also provides convenience for people's production and life.
In view of this, this paper analyzes the key technologies of artificial intelligence recognition technology on the basis of its introduction, which has important engineering significance for improving the application level of artificial intelligence recognition technology
First, artificial intelligence recognition technology
(1) Definition of artificial intelligence identification technology
Manual identification technology refers to the technical means of automatically obtaining and identifying target instructions, data and other information through computers, cameras, scanners and other equipment. It originated from voice control technology (voice recognition technology) and has been widely used in the control and interaction of smartphones. At its core, it recognizes the human voice and compares it with the phone's instruction set to control the phone.
According to whether the identified object has life characteristics, artificial intelligence recognition technology can be divided into two categories: living recognition and inanimate recognition.
AI recognition technology with life essentially refers to technologies related to human life characteristics, including voice recognition, fingerprint recognition, face recognition, iris recognition, etc. The working principle of speech recognition technology is based on the scientific and effective recognition of the speaker's own voice, correctly identifying the content of the voice, or judging the identity of the speaker through the voice (speaking of living person recognition).
In practical applications, the working principle of artificial fingerprint recognition technology is to intelligently identify human fingerprints, and finally correctly judge and identify the corresponding personnel to which the fingerprint belongs to meet actual needs. Artificial face recognition technology is based on the intelligent recognition of faces, scientifically and reasonably reviews the different structural features of faces, and finally clearly determines the actual identity of the reviewer; Iris recognition is to judge the actual identity of the iris through the characteristics of the iris.
In essence, inanimate identification technology refers to technologies that have nothing to do with the characteristics of human life, mainly including radio frequency identification technology, smart card technology and barcode recognition technology. The core of radio frequency identification technology is wireless electromagnetic waves, and its specific working principle is: transmitting radio signals under electromagnetic fields to complete the identification of data and tags; Barcode recognition technology includes one-dimensional code technology and two-dimensional code Youyou resource network technology.
Two-dimensional code technology is developed on the basis of one-dimensional code technology, leaving more empty space for data storage and error correction. It is very effective in information tagging and information gathering. The identification object of smart card recognition technology is mainly smart card, smart card is mainly composed of integrated circuit board, its work is mainly for data calculation and storage. By integrating computing technology into smart cards, a variety of data jobs can be done efficiently.
Artificial intelligence recognition technology is widely used, and different kinds of artificial intelligence recognition technology have been applied to various fields of society. For example, language translation, facial recognition and many other social activities can see the figure of computer artificial intelligence.
In addition, the recognition and use of QR codes is the most typical way to use artificial intelligence recognition technology. Its use is mainly to generate programs and instructions in the form of QR codes, generating flat graphics with black and white grid stitching on the screen of the user's mobile terminal.
In general, the distribution of these flat figures has a certain regularity. Through the arrangement and combination of various pictures of friends and resources, the QR code pattern is unique, and users can save and record the QR code pattern.
Intelligent identification technology is based on computer systems, scanning equipment, and photographic equipment as the infrastructure to intelligently identify the data information of the target. The current artificial intelligence recognition technology is gradually developed from speech recognition technology.
Now a number of intelligent recognition methods such as face recognition, image detection, image retrieval, target tracking, and style transfer have been formed. The emergence of these intelligent identification technologies has improved people's quality of life, reduced people's workload, and improved the efficiency of production and life, which is of great significance for promoting the development of modern socialist technology in mainland China.
(2) Research status of artificial intelligence recognition technology
From the current development, Continental has applied artificial intelligence recognition technology in many fields. But in the core technology of artificial intelligence recognition, it is still in the development stage. Compared with other developed countries abroad, it has not yet formed a mature technical system.
At the same time, with the strengthening of mutual exchanges and penetration of artificial intelligence recognition technology between various countries in recent years, the development of artificial intelligence has given new development opportunities. In recent years, the mainland has continuously improved the technical level of artificial intelligence, providing convenience for people's lives and improving people's living conditions.
Moreover, the relevant science and technology management departments in the mainland have strengthened their attention to artificial intelligence recognition technology and corresponding capital investment. From the current point of view, the development direction of computer artificial intelligence recognition technology at this stage is to solve various problems in the application process and research and development of core technologies.
(3) Characteristics of artificial intelligence recognition technology
Artificial intelligence recognition technology has high response efficiency, high computing speed and other characteristics in the application characteristics, and artificial intelligence recognition technology can solve problems through self-learning, can transform or create, can do theoretical deduction or theoretical research purposes, in engineering, artificial intelligence recognition technology can strictly monitor the entire production operation status.
If there is an abnormal situation in the operation state, the fault information can be grasped in time and fed back to the maintenance personnel, and the intelligent data support can also provide help to the maintenance personnel, thereby greatly improving the stability and safety of the equipment operation.
In real life, the application of artificial intelligence recognition technologies such as image recognition and speech recognition can effectively realize information allocation and communication between people and reduce the waste of resources in life. Therefore, the successful application of artificial intelligence recognition can effectively solve the problems encountered by people in actual production and life.
Second, the application of key technologies of artificial intelligence recognition technology
(1) Speech recognition
The core of the research and development of speech recognition technology is that the mechanical equipment used can accurately recognize human language, and the development of human-computer language interaction technology on this basis is also an important part of it. At present, products based on speech recognition technology are constantly being developed and popularized. It has been widely used in various fields. It provides convenience for people's lives. Speech recognition technology is technically used in voice control switching, voice communication recognition, and voice communication through MFCC extraction process, pre-emphasis, framing windowing, discrete Fourier transform, Mel filter bank, Mel filter bank, Gaussian function gmm, etc.
In the whole speech recognition process, two points should be achieved, one is to achieve efficient voice communication, and the second is to ensure the authenticity of the call, so as to ensure that people have a good call experience in the actual process.
(2) Image recognition technology
Image recognition technology is an important field and branch of computer artificial intelligence technology. Its core is the corresponding object recognition of the image in order to distinguish between objects and objects in different modes. In terms of development, image recognition technology has gone through three stages.
They are text recognition, image processing and recognition, and object recognition. Through the corresponding processing and analysis of image information, we can obtain the research objectives we need.
Today, image recognition is not only recognized by the naked eye, but also by computer. In terms of recognition principle, computer image recognition technology is the same as human customer eye recognition.
Humans perform image recognition based on the characteristics of the image itself, and recognize the image. When we see a picture, the brain will quickly respond to the familiar picture, classify and identify and store the memory.
Artificial intelligence image recognition technology is based on image features, pays attention to the main features of each picture, and eliminates redundant input information, finds the key information needed, and completes the sorting of image information in stages to form a complete intuitive image.
In the process of artificial intelligence image recognition, pattern recognition is the key, pattern recognition is the analysis and processing of different forms of confidence in things, so as to achieve the description, identification and classification of a thing or phenomenon. As shown in Figure 1, this is a complete image recognition process.
Figure 1 The image recognition process is completed
(3) Robotics
After the mainland entered the information age, robot technology gradually developed and was widely used. At the same time, in order to meet the needs of the development of the times, robotics has gradually become a discipline.
With the development of intelligent technology, the integration of artificial intelligence recognition technology and robot technology has made the rapid development of robot technology and promoted the rapid development of the robot industry.
The composition of artificial intelligence recognition robots contains internal information as well as external information sensors.
Its sensors include sight, hearing, touch and smell. In addition to receptors, they also need effectors composed of major components such as motors and muscles, so that they can fully contact the outside world. From the current technological development, intelligent robots need at least three elements of feeling, reacting and thinking in composition, and their schematics are shown in Figure 2.
Figure 2 Schematic diagram of intelligent robot
(4) Artificial intelligence neural network technology
In recent years, artificial intelligence network technology has become very common. It is mainly to build a mature network system by effectively connecting processing units, which can carry out corresponding logical thinking and other functions, just like the human brain to think, and has a similar simulation system to human brainpower.
In actual industrial engineering, the effective combination of electronic components, processing components and artificial neurons can effectively solve problems in practical engineering and ensure the stable operation of industry.
A complete artificial intelligence neural network consists of three parts: input layer, hidden layer and output layer. The specific schematic is shown in Figure 3.
Figure 3: Neural network
(5) Remote planning and autonomous control technology
Remote planning and autonomous control technology is a key component of computer artificial intelligence recognition technology. Through the application of this technology in the aerospace field, the purpose of outer space device control can be effectively realized, among which the successful research and application of NASA technology is an important milestone in the successful application of artificial intelligence recognition technology in the aerospace field.
It fully integrates system control with remote monitoring system technology. Dynamic monitoring is realized. At the same time, the staff can also use computer intelligent recognition technology to understand the operating status of outer space equipment and clarify possible problems with the equipment. And according to the existing problems, the corresponding adjustment plan can be formulated to ensure the reliable operation of the equipment.
3. Service strategy
Core service policy and append service policy
Enhance marketing services to the image of enterprises, make service become the business theme of enterprises, is the highest form of service in the development of market economy to a certain stage, and is the most competitive service strategy.
However, from the current point of view, the main use is the additional service strategy or auxiliary strategy, that is, mainly in the delivery credit, quality assurance service, solve the urgent needs of customers and other aspects of doing well.
Equal treatment strategy and differential treatment strategy
No matter who the customer is, they are the same. In practice, customers who also buy cheap goods and dress rags are particularly kind and polite. The needs of customers are multifaceted, and the needs for service quality are also multifaceted and specific, and the specific needs of services are different depending on the type of customers. To this end, the company emphasizes that when colleagues are treated equally, it will also strengthen the importance of differentiated services, and take it as a basic strategy to deepen marketing and improve marketing effectiveness.
summary
With the continuous improvement of economic level and science and technology, the application of artificial intelligence recognition technology is becoming more and more extensive, so the role of artificial intelligence identification technology to research other devices is introduced, and products made with fingerprint readers such as; Fingerprint door locks, fingerprint U disks, fingerprint attendance machines and other photos are posted to the website. Make the public better aware of this product.
Green marketing: Because this product is the crystallization of science and technology, absolutely pollution-free, and due to the small miniaturization resources of the fingerprint collection head, this product can definitely meet the needs of consumers for environmental protection and physical and mental health. It also fully reflects environmental awareness and social awareness.
Integrated marketing: Mix the above three strategies, joint marketing activities to market consumers, find factors that mobilize consumers' enthusiasm to buy, and stimulate consumers' purchases.