2019年12月17日星期二

Internet of Things: The Next Door in the Security Industry

1. Background

With the rapid development of the Internet, especially the mobile Internet, and continuous breakthroughs in sensor technology, more and more people have begun to discuss the Internet of Things, and the Internet of Things technology has also been applied in more industries. For the security industry, It is worth looking forward to whether networking will become the next big thing.

The Internet of Things is not a strange concept. As early as 2000, the concept of the Internet of Things has been proposed. Its definition is: through information sensing equipment such as radio frequency identification, infrared sensors, global positioning systems, and laser scanning, according to the agreed agreement, Any item is connected through the Internet of Things domain name for information exchange and communication, so as to achieve intelligent identification, positioning, tracking, monitoring and management.

2. Application of Internet of Things in security industry

In the domestic security industry, especially in the field of video surveillance, after more than 10 years of development, the issue of “seeing and seeing clearly” has been resolved. It is entering the stage of “reading and seeing clearly”. To solve this problem, only through video The means are difficult to solve, and using the Internet of Things technology can greatly improve the recognition results and efficiency. At present, the Internet of Things technology has been well applied in areas such as intelligent transportation, smart prisons, smart supermarkets, smart medical care, and smart homes.

Intelligent Transportation: Since the 90s of last century, China has begun to develop and develop intelligent transportation systems. After 2000, with the development of domestic security technologies, the use of embedded integrated machines instead of IPCs and cameras is the application of video surveillance in the transportation field. With the arrival of safe cities, smart transportation projects, bayonet systems, electronic police systems, traffic signal control systems, traffic guidance systems, pedestrians' red light systems, impolite pedestrian systems, and so on, all of these systems rely almost exclusively on video. The image recognition algorithm realizes the application of various services by tracking the license plate, body color, vehicle brand, and the like.

Although these systems have brought great improvements to urban traffic management and public security management, they are still affected by some environmental and behavioral conditions, such as rain, snow, fog, fake cards, and decking. With IoT technology, these problems can be solved more efficiently and accurately, such as through the use of electronic license plate technology.

The electronic license plate is an application based on the segmentation, extension, and improvement of the passive network radio frequency identification technology of the Internet of Things. Its basic technical measures are: using RFID technology for high-precision identification, high-accuracy acquisition, and high-sensitivity; On the last electronic license plate label, the RFID electronic license plate is used as a carrier of vehicle information. When passing an authorized RFID reader/writer road section, the data on the electronic license plate of each motor vehicle is collected or written to reach each The purpose of comprehensive traffic management.

Through the electronic license plate technology, the bottleneck of the original traffic information collection technology can be broken, and the vehicle traffic information can be classified and collected, accurately collected, and the key to accurate information source of the traffic control system can be grasped. At present, Wuxi, Nanjing, Shenzhen, Xiamen, Chengdu and other regions have taken the lead in the use of electronic license plates. The application of electronic license plates will also enhance the efficiency of traffic operations and improve travel comfort.

Intellectual Institute: At present, the management of the institution is still mainly in the stage of prison guard inspection + camera surveillance and alarm. Manual work still occupies a large proportion and the degree of informatization is relatively low. It is difficult to monitor real-time supervision of prison staff. Can not take the initiative to prevent and early warning. In order to guarantee the management level of the institution, improve the monitoring status of the detainees, improve the efficiency of the project, and avoid lags in safety accidents, the combination of video surveillance and the perception of the Internet of Things will further improve the information intelligence of the institution.

By wearing a wristband-type electronic tag for each detainee, the electronic tag will continue to send out ID information when entering the monitoring area. After the reader installed in the monitoring area reads the tag ID, the information is transmitted to the back-end. The application system enables real-time monitoring of the location of detainees. In the event of an accident, it is possible to quickly view the status of the scene and the positioning of personnel through video and wristbands, promptly transfer prison guards to the scene of the accident, and improve the overall information management and safety management of the institution.

Wisdom Business Super: In the area of ​​business and hypermarkets, the application of the Internet of Things is also rich and varied. In addition to the relatively mature warehouse management system, it is also applicable to the Shang-Chao settlement system. At present, the domestic market, shopping mall supermarket headache is the problem is too slow settlement, when the traffic is large, the shopping experience is poor, with the continuous reduction of the cost of electronic tags, through the Internet of Things technology to achieve rapid checkout has become a reality. In order to further protect customer rights and avoid shopping disputes, checkout video monitoring system + IoT fast checkout system + POS information system trinity, and record keeping.

Smart Home: The early days of smart homes have always been in the concept of hype, the price is not expensive, the operation is also very tedious. The concept of “subtracting tedious lives” conveyed by smart homes does not allow users to accept them well, and various rickets have been affecting their promotion process. The emergence of the Internet of Things has brought smart homes to the forefront of their lives, bringing secondary life to smart homes.

Smart home connects various devices in the home (such as home appliances, lighting systems, curtain control, home security, etc.) through the Internet of Things technology to solve security, environmental regulation, lighting management, health monitoring, home appliance control, emergency services And other issues.

The application of IoT smart home business functions in security applications involves: IoT wireless smart locks linked to smart phones, wireless window magnetic doors to protect doors and windows, wireless smart drawer locks to protect important drawers, and wireless IR cameras to prevent unauthorized access Detectors, wireless combustible gas detectors that prevent gas leaks, wireless smoke fire detectors that prevent fire damage, solar wireless electronic fences that prevent the wall from overhanging, and wireless leak detectors that prevent leakage.

3. Internet of Things development trend in the security industry

The construction of any system is for the application of services, especially the "IoT Security" industry. The future functional applications and structure of the Internet of Things in the security industry are similar to those of the human brain. They will also have the virtual perception of the Internet of Things, virtual movement, virtual hub, and virtual memory neural network, and draw a virtual brain structure diagram of the Internet of Things.

The Internet of Things corresponds to front-end perception, motion systems, Internet, mobile Internet, and modern Internet of Things transmission systems to transmit nervous systems, cloud storage, cloud computing corresponding information gathering and processing systems, and big data applications to virtual neurons and brain terminal decision systems.

Acquisition: The information acquisition under the “Security of Things” includes not only virtual vision systems and virtual auditory systems, but also more virtual sensory systems and virtual motion systems, bringing more physical sensors together and only gathering more Feature information can provide more accurate and rich application services for the back end.

Transmission: Data transmission in the traditional security industry is based on the operator's wired Internet, supplemented by wireless transmissions such as GPRS, 3G/4G, and 2.4G/5.8G. These transmissions are more to solve the problem of long-distance data transmission. In the era of the Internet of Things, more terminals need access to the network. Terminals and terminals also need to communicate with each other. How to build a "last mile" data transmission system will determine the development status of "IoT Security" and even the entire Internet of Things industry. .

Wireless transmission technology is the first problem to be solved in the development of the Internet of Things industry, but Wi-Fi, ZigBee, and Z-wav all face transmission and power consumption issues. At present, in the Internet of Things transmission technology, the three major technology camps are mainly focused on LoRa, NB-IoT and Sigfox, and related products and industrial applications are gradually becoming mature, such as wireless smoke, geomagnetic, smart meter reading, smart parking, car networking and other industries application.

Convergence: For the security industry, data aggregation consists of two levels: data storage and data structure classification.

With the continuous increase in the number of cameras deployed, audio and video data storage time is getting longer, and security data storage capacity is also increasing. How to tap the value of these data, the first thing to solve is the data sharing problem, to avoid various information islands . The traditional centralized storage method is difficult to achieve efficient data aggregation and convergence, and cloud storage technology can better solve the above problems, while being more secure, efficient, and more scalable.

The data collected by the security industry is different from the Internet industry. Data types are richer and more complex. There are structured data, unstructured and semi-structured data, which makes data analysis applications difficult. In order to deal with more and more complex data types, data must be structured and classified, and unstructured video must be converted into structured data through cloud computing technology. Through distributed database management and accelerated data classification and management, through standard interface methods. Provided to the upper business system.

Applications: Data collection, transmission, and convergence are several continuous technical means, all of which serve the final industry business applications. After gathering a large amount of data information, how to tap the value behind the data is a problem that the security industry urgently needs to solve. Judging from the current development trend of the whole industry, big data analysis based on artificial intelligence is the development direction of future technology, and it is also an important means to serve various industries. Through in-depth machine learning methods, the system can be made smarter, and information such as portraits, vehicles, and other various information bases can be quickly identified, and various information can be associated with each other according to a certain attribute (such as personal ID) to provide related business departments with more Convenient and smart business applications.

4. Conclusion

After more than ten years of development, the domestic security industry has made great progress, but there are still many problems and many difficulties. In target recognition, video-based target recognition is limited by the image collection environment, target angle, technical bottlenecks, etc., and 100% identification of the target cannot yet be achieved. Combined with the Internet of Things, RFID can effectively solve some problems; in the terminal information networking On the other hand, due to various reasons, the data cannot be aggregated effectively. Based on IoT-related technologies, it is a very good supplement. It can realize the interconnection of all things, obtain massive data, and finally realize the application of big data analysis and judgment in the industry.

The Internet of Things has become a promising outlet for the security industry.

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