Thanks to the rapid advancement of IT information technology, humans can record all kinds of data generated anytime and anywhere, and at the same time the cost of data storage is falling at an unprecedented rate. A big data era is quietly coming. According to IDC, the world officially entered the ZB era in 2010, and the global data volume has doubled every two years, meaning that the amount of data generated by humans in the last two years is equivalent to the total amount of data generated before. Explosive growth in data is driving humanity into the era of big data.
Big data is growing at a rapid rate, making it difficult to manage all data collections with existing database management tools. These data include: social media, mobile devices, scientific computing, and various types of sensors deployed in cities, where video is the largest part of the data. Driven by the video surveillance network and high-definition, the video surveillance business is inevitable in the era of data flooding. As shown in Figure 1.
Figure 1 Global data size forecast
Video surveillance data has two aspects of content - massive and unstructured. The amount of video surveillance data is huge, and with the trend of high-definition and ultra-high definition, the scale of video surveillance data will grow at a faster exponential level; unlike the structured data, the video surveillance service generates the most data. Most of them are based on unstructured data, which poses a great challenge to traditional data management and usage mechanisms.
Data "flood" brings the dilemma of video surveillance
The rapid growth of video surveillance data has made the traditional video surveillance architecture, data management methods, and data analysis applications face new difficulties. as shown in picture 2.
Figure 2 The dilemma facing the era of video surveillance big data
Dilemma 1, the sharp expansion of data volume and the contradiction between IT investments. According to the rules of the IT industry: under the premise of meeting customer needs, the lower the technical cost, the stronger its vitality. Due to the rapid expansion of data volume and the increasing demand for large-scale computing, the high-end hardware has made hardware investment an unbearable burden for customers. Customers are increasingly hoping to meet the demand. Replace high-end hardware with low-end hardware.
Dilemma 2, the contradiction between massive data and effective data. Camera 7 & TImes; 24 hours of work, truthfully record everything happening in the lens coverage, just recording information is not enough, because most of the information may be invalid for the customer, the effective information may only be distributed in a short period of time, according to According to mathematical statistics, information is presented in a power-law distribution, also known as the density of information. The higher the density, the greater the value of the information to the customer.
Dilemma 3, the contradiction between resource utilization and efficiency, the contradiction between serial computing and parallel computing. After the video surveillance service is networked and networked, there are more and more devices in the network. The use of idle computing resources to maximize the use of resources is related to the efficiency of computing. In the field of video surveillance, the efficiency of video analysis often determines the value. Lower latency and more accurate analysis are often the common needs of customers like Safe City. With the increase of the amount of data, even if the TB level data is analyzed and retrieved for the video content, the serial computing mode may take several hours of calculation, which is far from being able to meet the timeliness requirements. The analysis and retrieval of video cannot rely on traditional means, the efficiency optimization of huge amounts of data, and parallel computing is the only way out for video intelligence analysis.
Because big data brings many real-world problems, in order to solve these problems, new technological changes are needed, and a new generation of database technology is needed. The industry calls it big data technology. IDC defines big data technology like this: Big data technology will be designed to be used in a highly economical environment, through very rapid acquisition, discovery and analysis, from volumes, multi-category (variety) The extraction of value from the data will be a revolution in the next generation of technology and architecture in the IT world. Had oop technology was born in this context. After several years of accumulation, Hadoop has grown into a powerful ecosystem, which not only derived many sub-projects such as HDFS, HBase, Hive, but also became a big data model framework widely used in IT field. .
For more information on video surveillance or smart security technologies and markets, please pay attention to and participate in ETD Issue 13: Smart Security Technology Salon! (hot registration)
Mini Circuit breakers, also named as the air switch which have a short for arc extinguishing device. It is a switch role, and also is a automatic protection of low-voltage electrical distribution. Its role is equivalent to the combination of switch. Fuse. Thermal Relay and other electrical components. It mainly used for short circuit and overload protection. Generally, According to the poles, Mini Circuit Breaker can be divided into 1P , 1P+N , 2P, 3P and 4P.
Miniature Circuit Breaker,Electronics Miniature Circuits Breaker,Automatic Miniature Circuit Breaker,Mini Circuit Breaker
Wenzhou Korlen Electric Appliances Co., Ltd. , https://www.korlenelectric.com