The key to the future of intelligent life is computer vision

The popularity of machine automation and informationization has transformed building construction from a cold box into a smart complex that provides people with more comfortable, energy-efficient, ecologically-friendly living and working environments. The combination of modern building technology and modern communication technology, computer technology, and control technology makes intelligent buildings no longer a building in the traditional sense.

Although it includes multiple systems such as communications, security, and energy management, the current smart building has to mention IBMS (Intelligent Building Management System). IBMS integrates various subsystems into an "organic" unified system. The interface of the interface is standardized and standardized, and the information exchange and communication protocol conversion of each subsystem is completed, which makes the hardware and software systems such as access control, security, lighting, etc. in the building construction complement each other, thereby helping building owners and property managers to realize the building While standardizing operations management processes, the efficiency of building operations is improved, and operating costs and energy consumption are reduced. So the degree of integration and control of IBMS will fundamentally affect the degree of intelligence in the building.

Where to Go in the Open Community New Government Intelligent Building

The needs of IBMS to deal with the problem far beyond the building itself, how to adapt to and interact with this rapidly changing environment, testing the true capabilities of an intelligent system. When there is always a plan that cannot keep up with changes, as announced on February 21 this year, the newly released “Some Opinions of the Central Committee of the Communist Party of China on Further Strengthening the Management of Urban Planning and Construction” mentions that it is no longer necessary to build closed residential communities. The built residential quarters and unit complexes should be gradually opened to enhance the overall integration of the community and the city, and to solve the traffic network layout to ease traffic congestion.

At present, this opinion put forward by the Party Central Committee and the State Council belongs to the level of the party and the state policy. It has not yet formally established a mandatory ordinance, but it is also very clear that the future direction of community development and the opening and publicization of residential communities will lead to With the surge in traffic and traffic flow from strangers, visitors to and from the community are no longer registered. This poses a hidden danger for the safety of the lives of individual residents.

After the community has become a social land, in the face of a complex social environment, the intelligent building IBMS will dynamically link the various subsystems within the intelligent building to maintain the first level of the owner’s property. After all, the security system itself is a collection of security subsystems. The complex public environment tests IBMS's hardware and software expansion and control of new technologies. On the other hand, this is a good opportunity for the popularization of smart buildings. It is also a victory for many IBMS vendors on the market.

Intelligent future in computer vision

Surveillance equipment as a standard security system, and now also become an indispensable sensor layer hardware in intelligent buildings, the current network cameras generally provide 1080P60FPS full HD video. For open communities, access to building personnel can also provide information such as face recognition, motion recognition, and even voice recognition back to IBMS. However, for smart buildings, only automatic identification is enough?

Intelligence is the highest realm of automation, manifested as system autonomy, optimal adjustment and accurate and coordinated interaction, in which the environment perception ability is the basis of intelligence, and the 'vision' has a significant impact, for example, a person does not make a sound, as long as Existence will be the first to be perceived by 'visual', and 'visual' is also the basis for complex interactions with users.

At present, the analysis technology of image and video has become one of the research branches of artificial intelligence—computer vision, focusing on the meaning of the counting machine to analyze the image content. It can be said that the automatic analysis of the image information is a sign of the intelligentization of the monitoring system, and it is also the basic capability of the intelligent building.

From the perspective of applications, image analysis is divided into two levels. First, image recognition uses the spatial resolution of image information to achieve individual identity authentication. Second, image content analysis mainly uses the time resolution capability of image information. Image, analysis of target behavior.

Image recognition can generally be achieved in current security cameras, but the image voice analysis in the image content can rarely be done. For example, by reading a segment of an image and understanding the content of the image and expressing it, it does not describe the image itself. It is the content and the plot of the structure and performance of the image. As long as smart buildings have the same ability to understand images as people, we can further improve the efficiency and quality of services.

Intelligent Building and Artificial Intelligence

Imagine that the integrated image content recognition and analysis algorithm IBMS enables intelligent buildings not only to identify the elements of the image content, but also to understand the logical relationships among the elements within the diagram. In this way, even if it is an open community, the predecessor analysis of specific behaviors of community personnel is performed, and feedback is received and the behavior is automatically made in IBMS. This degree of environmental awareness is based on the application of artificial intelligence in architecture.

According to the content of the “Urban Plan Opinions” policy, the open community to solve the traffic network layout to ease traffic congestion will inevitably become the mainstream in the future. Based on the analysis of computer vision, it will cooperate with the data collected by other sensors and share the IBMS data. Through cloud computing, artificial intelligence combines road traffic data and real-time dynamic linkage scheduling. After all, the application of big data in smart buildings is essentially an application of artificial intelligence in building construction.

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