The report said that the technology giant is saying that the wind investment is saying that even the taxi drivers are saying... It seems that artificial intelligence has blossomed all night. When artificial intelligence became the "focus", today's security industry has become the "focus" in the focus. When it comes to artificial intelligence and product applications, security must not be avoided. Security is the first choice for artificial intelligence, and it has a rich data foundation, which can fully meet the requirements of artificial intelligence for algorithm model training. When the fourth wave of industrial revolution, represented by "artificial intelligence", swept through, security and artificial intelligence were also closely linked. But when will security AI applications really enter thousands of households? It may be a "killer application", the "killer application" is the key that makes everyone realize and feel the security AI. The following is a brief list of security AI scenarios. AI+ video surveillance Traditional surveillance cameras can only provide real-time monitoring, or look back at certain things that have already happened. Smart cameras that incorporate artificial intelligence technology allow users to monitor the situation in real time and identify problems before they occur. To identify the content of the monitoring system, including face recognition, license plate number identification, vehicle type identification, vessel identification, traffic light recognition, and so on. Identification technology is often used in road monitoring, financial banking, waterway management and other industries, mainly to provide customers with the basis for identification records and hierarchical management. AI+ Xueliang Project The construction of “Snow Project†is an extension and integration of Skynet Engineering and video surveillance full coverage project. It is also a new way to build a social security prevention and control system combining big data and artificial intelligence under the “Internet+†environment. The artificial intelligence security application has also greatly promoted the construction of Xueliang project, improved the level of construction and service, and achieved the goal of “global coverage, network-wide sharing, full-time availability, and full controllableâ€. Artificial intelligence can be divided into two types of deployment: front-end intelligence and back-end intelligence, namely edge computing and central computing. For some simple algorithms such as face detection, vehicle detection, license plate recognition, etc., it can be implemented at the front end, using front-end equipment such as vehicle capture recognition camera and face capture camera; for more complex algorithms, such as face feature extraction and ratio The analysis of the calculations, the characteristics of the vehicle, the analysis of the pedestrian characteristics, and the face detection of the large-capacity face capture can only rely on the central professional algorithm server for analysis and processing. AI+ alarm With the integration of AI technology, it has brought new development opportunities for the downturn alarm industry. For the alarm industry, all alarms will be connected to the artificial intelligence algorithm. In the past, each sensor may work separately. Now, the data generated by the sensor can be connected to more sensors after being operated by artificial intelligence algorithms. It is to control more devices, so that the function of the alarm or the function of the emergency can be taken all the time, so that the emergency department or the owner can control the information at the first time, and preset the treatment plan, then the AI+ alarm is no longer just Simple alarm function. AI+ access control With the development of artificial intelligence, Internet of Things, cloud computing and other technologies, it has brought opportunities for the integration of the access control market. In recent years, the access control manufacturers have continuously innovated, greatly enriching the connotation of the access control system. Common biometric access control systems today include fingerprint access control systems, iris access control systems, facial recognition access control systems, and vein recognition access control. It has been further improved in terms of safety, convenience, comfort and management control. Due to the uniqueness of the human body, the biometric key cannot be copied, stolen or forgotten, so it is more sought after by the public. AI+ traffic With the accelerated development of artificial intelligence technology, the transportation industry is facing a profound change. With the large-scale networking of traffic jams, a large number of vehicle traffic record information is collected, and artificial intelligence technology can be used to analyze urban traffic flow in real time, adjust traffic light intervals, shorten vehicle waiting time, and improve the traffic efficiency of urban roads. The urban-level artificial intelligence brain can grasp the trajectory information of the passing vehicles on the city road, the vehicle information of the parking lot and the parking information of the community in real time. It can predict the change of traffic flow and the number of parking spaces in advance for half an hour, and rationally allocate resources and guide. Traffic, realize large-scale traffic linkage scheduling of airports, railway stations, bus stations, and business districts, improve the operational efficiency of the entire city, and provide guarantee for the smooth travel of residents. Conclusion : How should AI+Security go this way? Waiting for time to be revealed. Finally, I wish that security companies will have more growth and progress while embracing artificial intelligence, and win more markets and returns! Mini PC
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