Seeking information about the intelligent identification system urgently

You can go to the library to check, you can also find it on the Internet, electronic journals, introduce a few to you:

A New Interactive Surround Intelligent Display Technology Based on Face Recognition and Face Orientation Estimation Electronic Devices 2008 01 China Journal Full-text Database.

3 The Current Situation and Development Trend of the Intelligent Identification Market China Anti-Counterfeiting Report 2007 12 China Periodicals Full-text Database.

4 Intelligent RMB Identification System Machinery & Electronics 2008 02 China Periodicals Full-text Database.

5 Research and Implementation of Intelligent Recognition System for Abrasive Debris Images, Computer Applications and Software, 2008, 02 China Periodicals Full-text Database.

6 Intelligent** Remote Control System Using Voice Recognition Password, Programmable Controller and Factory Automation, 2006 02 China Journal Full-text Database.

7. Application of electronic components in coal mine safety intelligent monitoring system based on radio frequency identification technology.

The Automatic Identification System (AIS) is an automatic tracking system installed on ships to exchange electronic data with nearby ships, AIS quay stations, satellites and other equipment, and to identify and locate them by Vessel Traffic Control (VTS). When the satellite detects the AIS signal, the data will be displayed to the maritime radar to avoid collisions in marine traffic as a priority.

Chinese name: automatic trap recognition system.

Foreign name: automatic identification system

Introduction, principle, see ,Automatic Identification SystemThe Automatic Identification System (AIS) is an automatic tracking system installed on ships to exchange electronic data with nearby ships, AIS quay stations, satellites and other equipment, and is used for VTS identification and positioning. When the satellite detects the AIS signal, it will display the data to the maritime radar to avoid collisions in marine traffic in a priority manner. The information sent by AIS, including a unique identification number, vessel name, location, heading, speed, is displayed on AIS's screen or electronic charts.

AIS assists the on-duty officer and the marine authority to track and monitor the movement of the vessel. AIS integrates standard VHF transmitters and position information provided by GPS or Loran-C receivers, as well as other electronic nautical features such as gyrocompass or rudder angle indicators. When the ship is equipped with an AIS transceiver and an interrogator, it can be tracked by the AIS shore station.

Or, when too far from shore, a number of satellites can be used to identify the ship's position from a large number of signals by means of specially equipped AIS receivers. The International Maritime Organization's International Convention for the Safety of Life at Sea (SOLAS) requires ships with a gross tonnage of more than 300 gross tonnage and all passenger ships regardless of tonnage to be installed.

ADS-B: A system of similar functionality, for aircraft.

Aerial collision avoidance system.

Remote identification and tracking (vessels).

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Maritime traffic management.

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Intelligent recognition and differentiation refers to the use of computers, artificial intelligence and other technical means to distinguish and identify things according to different attributes, characteristics or categories.

Intelligent recognition discrimination is widely used in various fields, such as:

1.Image recognition: Classification or recognition of images through machine learning models. For example, facial recognition technology can recognize facial features to achieve functions such as identity verification or face payment.

2.Speech recognition: Convert sound into text, and carry out voice processing and voice recognition, for example, voice assistants can achieve intelligent control through voice recognition technology, such as smart home control.

3.Text classification: Text is divided into different categories through text feature extraction and classification algorithms. For example, in public opinion monitoring, information on the network can be classified and analyzed through sentiment analysis and text classification technology.

4.Data mining: Mining and classifying data through machine learning algorithms and models. For example, through the analysis of user behavior data, the characteristics, needs and behavioral habits of users can be inferred, so as to improve the service quality and the satisfaction of users.

To sum up, intelligent recognition and differentiation technology can help us better understand and analyze things, improve the efficiency and quality of production and service, and increase the competitiveness and social value of enterprises.

1 5 step by step reading.

SMS intelligent recognition is a collaborative product of three teams: MIUI Basic Application, Yellow Pages, and New Technology Group. The main task tasked by the new technology group is the natural language understanding algorithm for text messages. Looking back on the development process in the past few months, it is really full of challenges and twists and turns.

2 5 In October last year, after communicating with SMS and Yellow Pages, we started to develop it. As one of the core modules, the natural language understanding module of SMS is indeed quite difficult. First of all, it must have a good recognition effect; secondly, because it is recognized on the mobile phone, it needs to have a fast recognition speed and low space overhead; Finally, it should be scalable and easily support new recognition tasks.

The difficulty of the whole system lies in the fact that it supports multi-task recognition, simple addition and deletion of tasks, extraction of multi-knowledge points (express tracking number, verification code, time, etc.), and different responses to different recognition results. For multi-tasking and different responses to different recognition results, we designed a set of task ontologies to facilitate task management.

3 5 In the specific SMS recognition task, we use a knowledge extraction model based on SVM and probabilistic semantic grammar and multi-knowledge point cross-validation. Based on this method, we have increased the accuracy rate of SMS tracking number recognition from the initial 90% to 98%.

The date and time recognition in SMS has increased from 71% accuracy and 75% recall rate to 93% and 90% respectively, and the manual efficiency has increased by 50 times. Compared with the original system, we have made great improvements, such as: improved the recognition of fuzzy time (10 a.m. next Tuesday), and the specific time needs to be inferred and calculated according to the time of receiving the SMS; Added recognition of lunar time (the eighth day of the second month of the leap month); Added recognition of common holidays (Mid-Autumn Festival, Spring Festival, Dragon Boat Festival, Christmas.

Added the ability to recognize multiple periods of time (next Friday, December 26 morning).

4 5 Through very simple configuration and multi-knowledge point cross-validation, we have achieved an accuracy rate of about 99% for captcha recognition. The detailed development stories of these tasks will be introduced in the future.

With the increase of identification tasks, the consumption of system resources also increases, which has a great test on the performance of the system. Our requirement is that every time we open the SMS conversation interface, it will be recognized in real time, and no lag will be allowed. To achieve this goal, we use various technologies such as multi-layer indexing to maximize the recognition speed, and finally the average recognition speed of each SMS on mobile phones reaches less than 10ms.

5 5 At the same time, we require smooth recognition on Redmi, which has only 1GB of RAM. In order to achieve this goal, we have introduced mechanisms such as number domain mapping and SMS topic analysis to minimize resource requirements, thereby reducing the storage overhead of the system, and always controlling the memory required for identification within 5MB. At the same time, after the identification is completed, additional resource overhead is released.

The emergence of intelligent identification sensors is a revolution in monitoring technology, which will put forward new requirements for the design and manufacture of instruments, and at the same time bring fundamental changes to the way instruments are used. The intelligent identification sensor has various parameters and numbers of the instrument in the memory, and can be implanted with information such as the installer, installation time, installation location, installation environment, benchmark value, etc., and automatically intersects with the reading system during collection, so as to realize the paperless monitoring work and facilitate the rapid query and statistical calculation of data.

Pattern recognition and intelligent system belongs to the secondary discipline of control science and engineering, with the theoretical technology of information processing and pattern recognition as the core, with mathematical methods and computers as the main tools, to study the methods of processing, classifying and understanding various first-class information, and on this basis, construct a system with certain intelligent characteristics.

Pattern recognition and intelligent system is a new type of discipline developed on the basis of signal processing, artificial intelligence, cybernetics, computer technology and other disciplines since the 60s of the 20th century. This discipline takes various sensors as the information source, takes the theoretical technology of information processing and pattern recognition as the core, and takes mathematical methods and computers as the main tools to explore the methods, ways and implementations of processing, classifying, and understanding various first-class information, and constructing systems or devices with certain intelligent characteristics on this basis, so as to improve system performance. Pattern recognition and intelligent system is an important discipline branch of control science and engineering that closely integrates theory and practice and has wide application value.

Fingerprint entry supports up to five fingerprints. Enter the interface of fingerprint management, and then we click on Add Fingerprint.

According to some data, compared with biometric technologies such as fingerprints and iris, the probability of facial recognition being cracked is much higher. In fact, facial recognition systems can scan a person's infrared signs to confirm that they are facing a living person, because virtual reality systems do not emit infrared light similar to the human body.

As people's lives become more and more intelligent, radio frequency recognition technology intelligent identification tags are increasingly entering the lives of ordinary people, and rapidly changing people's daily life and life structure. In fact, even people who don't know much about radio frequency recognition technology are unknowingly using this smart technology every day, such as monthly passes.

First of all, because you have to prepare to enter your fingerprints, of course, you must wash your hands cleanly, so that your mobile phone can enter your fingerprints more clearly and accurately.

Intelligent recognition refers to the recognition of business cards or text documents. According to the actual measurement, the recognition rate of business cards is high, and the documents are basically unrecognizable.

Smartphones can be used for anything, and mobile phones that don't understand can be found on the Internet.

What is intelligent recognition, I don't know what you're talking about, different intelligent recognition is different, and it's not easy to operate if you don't know the specific situation.

It depends on what kind of phone you're using or something else, you didn't say.

Intelligent recognition is such as handprint unlocking, and there is face to camera recognition, now that technology is developed, people are thousands of miles away, do not need to come to the front, point to the mobile phone, enter, follow the prompts, step by step, you can distinguish whether it is you, this should be intelligent recognition.

Automatic Identification System (RFID) is the abbreviation of Radio Frequency Identification, that is, Radio Frequency Identification Technology, commonly known as electronic tags. Automatic identification system RFID is a non-contact automatic identification technology, which automatically identifies the target object through radio frequency signals and obtains relevant data, and the identification work does not require manual intervention, and can work in various harsh environments. The automatic identification system technology can identify high-speed moving objects and can identify multiple tags at the same time, which is fast and convenient to operate, easy to find and query.

Face recognition is mainly used for identity recognition. Due to the rapid development of monitoring, many monitoring applications urgently need a long-distance, user-non-cooperative state of rapid identification technology, in order to quickly confirm the identity of personnel at a long distance and achieve intelligent early warning. Face recognition technology, using fast face detection technology, can find faces in real time from the monitoring ** image, and compare with the face database in real time, so as to achieve rapid identification.

The management and application of logistics information first involves the carrier of information. In the past, documents, vouchers, and summons were used as carriers, and methods such as manual recording, communication, manual calculation, mailing or fax were used to collect, record, process, transmit and feedback logistics information, which was not only prone to errors and information lag, but also made it difficult for managers to coordinate all aspects of the flow of goods, and could not be controlled systematically, and could not achieve system optimization and real-time monitoring. As a result, it causes inefficiency and a lot of waste of manpower, transportation capacity, capital, and space.

The management of IT assets also benefits from automatic identification technology, and now many IT asset management systems use automatic identification technology to automatically record and track the location information of assets, helping managers quickly locate the location of the fault when the equipment fails, improving efficiency, and non-contact automatic identification can also help enterprises to complete the asset inventory more easily, save manpower time, and do not need to find and compare one by one as in the past.

Automatic identification technology is a technology that applies a certain identification device to automatically obtain the relevant information of the identified item through the proximity activity between the identified item and the identification device, and provides it to the computer processing system in the background to complete the relevant follow-up processing. Automatic identification technology integrates computer, optical, electrical, communication and network technologies, and combines them with Internet, mobile communication and other technologies to realize the tracking and information sharing of items worldwide, so as to give intelligence to objects and realize communication and dialogue between people and objects and between objects. Illustrate.

The barcode scanning system of shopping malls is a typical automatic identification technology. The salesperson scans the barcode of the goods through the scanner, obtains the name of the goods, **, enters the quantity, and the background POS system can calculate the ** of the batch of goods, so as to complete the customer's settlement. Of course, customers can also pay in the form of bank card payment, and the bank card payment process itself is also an application of automatic identification technology.