As the current network camera technology has been a major breakthrough, the market mainstream of smart camera has turned to network cameras from analog cameras. The video technology, which has been subject to network conditions and video CODEC, has already matured and shown some features like targeted, high adaptability, etc. The main function of smart cameras is intelligence analysis.
Currently, the intelligent video analysis can be divided into pattern recognition and behavioral analysis. Pattern recognition includes face detection, face contrast, license plate recognition, fireworks identification and detection; behavioral analysis includes crossing line, enters & leaves, lost, remnants, crowd, slipping and so on.
In recent years, the development of intelligent cameras has made considerable progress in nature. Firstly, the quality is more stable. With the surveillance industry matured, technology improved, smart cameras achieve low power consumption, low heat. As we all know, low-power itself means a more stable quality. Secondly, the security is higher. The new generation of intelligent network cameras revolutionized conventional analog monitoring mode. Such mode is the bond to the network, separated the data encoding from data storage, using special data storage devices to realize remote data collection, storage and management, with a high security. Finally, it is the reliability that many users are concerned about. Just think, a constant false alarm system is tantamount to a wolf story for the security manager, which will greatly affect the user's confidence. In the past market, the performance of intelligent video analysis products on the market is uneven, and there were many false positives due to the complexity of the scene and the algorithm. As the continuous development of intelligence analysis technology and algorithm improvement, the accuracy of intelligence analysis gets greatly improved.
There accompanied some impediments with rapid development of smart cameras. Firstly, the cost is relatively high. That focuses on investment in infrastructure and the system itself. For the deployment of intelligent systems, requirement at storage, network bandwidth and other infrastructure facilities is higher than other systems. And the cost of intelligent device itself is higher than a lot of other products. For many ordinary users, the cost is an important factor affecting their further selection. Secondly, network transmission obstacles camera development. Current smart cameras move towards networking, but as network transmission obstacles fully promotion, only applies in some industries. Thirdly, the awareness of market demand is not high. The demand for intelligent network camera is certainly different among different industries. Take transportation industry as example, there are very strict requirements at vehicle capture, lane monitoring, license plate recognition, identification and even the drivers identifying. Therefore, manufacturers should introduce more subdivided and diversified products, programs to meet the needs from different users.
The intelligent camera technology in the future will evaluate two opposing trends: the high-precision professional industry cameras and generic cameras relying on the back-end support. For high-precision professional industry cameras, the more usage scenario of smart cameras is traffic recognition and financial guard, such as license plate recognition in intelligent transportation, face recognition and trajectory tracking in financial protection. These require highly not only the production facilities of product also the professional of handling personnel. Then smart cameras will gradually be monopolized by large and medium enterprises with professional qualification and knowledge of industry needs. And its products will be increasingly targeted and with characteristics of industry application. In addition, generic cameras relying on back-end support will become the mainstream of the future smart cameras. The reason is including its relatively low technical threshold, the greater degree of intelligence and lower investment. During practical applications, there usually adds a intelligent analysis module in the existing network monitoring solutions. This module can not only be stand-alone run, also couple with the overall operation of the system. In other words, consumers do not need to transform the original facilities environment, to have the ability of intelligent analysis. Then all the cameras have become smart cameras. This method is more conducive to advance products and projects to upgrade and transform.
Currently, foreign markets have already used intelligent video surveillance systems largely. Domestic intelligent analysis and monitoring market is also growing rapidly. There will be more and more industries to introduce intelligent demand in the future. Intelligent video analysis technology is the direction of future video surveillance development, and also is the most high-end application mode in video surveillance.
Currently, the intelligent video analysis can be divided into pattern recognition and behavioral analysis. Pattern recognition includes face detection, face contrast, license plate recognition, fireworks identification and detection; behavioral analysis includes crossing line, enters & leaves, lost, remnants, crowd, slipping and so on.
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In recent years, the development of intelligent cameras has made considerable progress in nature. Firstly, the quality is more stable. With the surveillance industry matured, technology improved, smart cameras achieve low power consumption, low heat. As we all know, low-power itself means a more stable quality. Secondly, the security is higher. The new generation of intelligent network cameras revolutionized conventional analog monitoring mode. Such mode is the bond to the network, separated the data encoding from data storage, using special data storage devices to realize remote data collection, storage and management, with a high security. Finally, it is the reliability that many users are concerned about. Just think, a constant false alarm system is tantamount to a wolf story for the security manager, which will greatly affect the user's confidence. In the past market, the performance of intelligent video analysis products on the market is uneven, and there were many false positives due to the complexity of the scene and the algorithm. As the continuous development of intelligence analysis technology and algorithm improvement, the accuracy of intelligence analysis gets greatly improved.
There accompanied some impediments with rapid development of smart cameras. Firstly, the cost is relatively high. That focuses on investment in infrastructure and the system itself. For the deployment of intelligent systems, requirement at storage, network bandwidth and other infrastructure facilities is higher than other systems. And the cost of intelligent device itself is higher than a lot of other products. For many ordinary users, the cost is an important factor affecting their further selection. Secondly, network transmission obstacles camera development. Current smart cameras move towards networking, but as network transmission obstacles fully promotion, only applies in some industries. Thirdly, the awareness of market demand is not high. The demand for intelligent network camera is certainly different among different industries. Take transportation industry as example, there are very strict requirements at vehicle capture, lane monitoring, license plate recognition, identification and even the drivers identifying. Therefore, manufacturers should introduce more subdivided and diversified products, programs to meet the needs from different users.
The intelligent camera technology in the future will evaluate two opposing trends: the high-precision professional industry cameras and generic cameras relying on the back-end support. For high-precision professional industry cameras, the more usage scenario of smart cameras is traffic recognition and financial guard, such as license plate recognition in intelligent transportation, face recognition and trajectory tracking in financial protection. These require highly not only the production facilities of product also the professional of handling personnel. Then smart cameras will gradually be monopolized by large and medium enterprises with professional qualification and knowledge of industry needs. And its products will be increasingly targeted and with characteristics of industry application. In addition, generic cameras relying on back-end support will become the mainstream of the future smart cameras. The reason is including its relatively low technical threshold, the greater degree of intelligence and lower investment. During practical applications, there usually adds a intelligent analysis module in the existing network monitoring solutions. This module can not only be stand-alone run, also couple with the overall operation of the system. In other words, consumers do not need to transform the original facilities environment, to have the ability of intelligent analysis. Then all the cameras have become smart cameras. This method is more conducive to advance products and projects to upgrade and transform.
Currently, foreign markets have already used intelligent video surveillance systems largely. Domestic intelligent analysis and monitoring market is also growing rapidly. There will be more and more industries to introduce intelligent demand in the future. Intelligent video analysis technology is the direction of future video surveillance development, and also is the most high-end application mode in video surveillance.
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