The report is saying that tech tycoons are saying that venture capital is saying that even taxi drivers are saying ... It seems that overnight, artificial intelligence has blossomed everywhere. When artificial intelligence becomes the "focus", today's security industry becomes the "focus" in the focus. Talking about artificial intelligence and product applications, security must not be avoided. Security is the first choice for artificial intelligence landing. It has a rich data base and can fully meet the requirements of artificial intelligence for algorithm model training.
When the fourth industrial revolution wave 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? There may be a "killer app", the "killer app" is the key that makes everyone recognize and perceive security AI. The following briefly lists the five major AI security scenarios.
AI + video surveillance
Traditional surveillance cameras can only provide real-time situation monitoring, or look back at certain things that have happened. An intelligent camera integrated with artificial intelligence technology allows users to monitor the situation in real time and identify problems before they occur. If it is to identify the content of the monitoring system, including face recognition, license plate number recognition, vehicle type recognition, ship recognition, traffic light recognition and so on. Recognition technology is often used in industries such as road monitoring, financial banking, and waterway management, mainly to provide customers with the basis for identification records and hierarchical management.
AI + Snow Project
The construction of the "Xueliang Project" is an extension and integration of the Skynet project and the video surveillance full coverage project. It is also a new way to build a social security prevention and control system that combines big data and artificial intelligence in an "Internet +" environment. The application of artificial intelligence security has also greatly promoted the construction of Xueliang Project, improved the level of construction and services, and achieved the goals of "global coverage, network sharing, full-time availability, and full-process controllability". Artificial intelligence can be divided into two deployment methods: front-end intelligence and back-end intelligence, namely edge computing and central computing. For some simpler algorithms such as face detection, vehicle detection, license plate recognition, etc., can be implemented at the front end, using front-end equipment such as vehicle snap recognition cameras, face snap cameras, etc .; for more complex algorithms, such as facial feature extraction and comparison Operations, analysis of vehicle characteristics, analysis of pedestrian characteristics, and face detection at high-traffic face capture points can only rely on a central professional algorithm server for analysis and processing.
AI + Alarm
With the integration of AI technology, it has brought a new development opportunity 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 operated by the artificial intelligence algorithm to connect more sensors or It is to control more equipment, so that the alarm function or emergency function can be triggered all over the body, so that the emergency department or the owner can control the information at the first time, and preset the processing plan, then, 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 brings opportunities for the integrated development of the access control market. In recent years, access control manufacturers have continuously innovated, which greatly enriched the connotation of access control systems. Today's common biometric access control systems mainly include fingerprint access control systems, iris access control systems, facial recognition access control systems, and vein identification access control systems. Safety, convenience, comfort and management control have been further improved. Due to the uniqueness of human body characteristics that cannot be copied, this biological key cannot be copied, stolen or forgotten, so it is more sought after by the public.
AI + Transport
With the accelerated development of artificial intelligence technology, the transportation industry is ushering in a profound change. With the large-scale network of traffic checkpoints, 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 other measures to improve the efficiency of urban road traffic. The city-level artificial intelligence brain has real-time grasp of the trajectory information of vehicles passing on city roads, vehicle information in the parking lot, and parking information in the community. Transportation, realize large-scale traffic linkage dispatching in airports, railway stations, bus stations, and commercial districts, improve the operation efficiency of the entire city, and provide residents with smooth travel.
Conclusion : How should AI + Security go? Wait for the time to be announced. Finally, I wish that while embracing artificial intelligence, security companies will have more growth and progress, and also win more markets and returns!
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