Reports are talking, tech bigwigs are talking, VC money is talking, even taxi drivers are talking... It seems that overnight, artificial intelligence has blossomed everywhere. When artificial intelligence becomes the "focus", today's security industry has become the "focus" in the focus. Talking about artificial intelligence and product applications, security must be avoided. Security is the first choice for artificial intelligence. It has a rich data base and can fully meet the requirements of artificial intelligence for algorithm model training.
When the wave of the fourth industrial revolution represented by "artificial intelligence" swept through, security and artificial intelligence were closely linked. But when will security AI applications really enter thousands of households? There may still be a "killer app", and the "killer app" is the key that allows everyone to recognize and perceive the security AI. The following is a brief list of five AI scenarios for security.
AI + Video Surveillance
Traditional surveillance cameras can only provide real-time monitoring of the situation, or a look back at something that has happened. And smart cameras that incorporate artificial intelligence technology allow users to monitor the situation in real time and identify problems before they occur. If it is to identify the content that the monitoring system cares about, including face recognition, license plate number recognition, vehicle type recognition, ship recognition, 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 Engineering
The construction of the "Xueliang Project" is an extension and integration of the Skynet project and the full coverage of video surveillance projects. It is also a new way to build a social security prevention and control system that combines big data and artificial intelligence in the "Internet +" environment. The application of artificial intelligence security has also greatly promoted the construction of Xueliang project, improved the level of construction and service, and achieved the goal of "global coverage, whole network sharing, full-time availability, and full control". Artificial intelligence can be divided into two deployment methods: front-end intelligence and back-end intelligence, namely edge computing and central computing. For some relatively simple algorithms such as face detection, vehicle detection, license plate recognition, etc., they can be implemented in the front-end, using front-end equipment such as vehicle capture recognition cameras and face capture cameras; for more complex algorithms, such as face feature extraction and comparison Calculation, analysis of vehicle characteristics, analysis of pedestrian characteristics, and face detection at large-traffic face capture points, etc., can only be analyzed and processed by the central professional algorithm server.
AI+Alarm
With the integration of AI technology, new development opportunities have been brought to the sluggish alarm industry. For the alarm industry, all alarms will be connected to the algorithm of artificial intelligence. In the past, each sensor may work alone, but now the data generated by the sensor can be operated through the algorithm of artificial intelligence to connect more sensors or It is to control more equipment, so that the alarm function or emergency function can affect the whole body, so that the emergency department or the owner can control the information at the first time, and at the same time preset the treatment 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, the access control market has brought opportunities for integrated development. In recent years, access control manufacturers have continued to innovate, greatly enriching 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 recognition access control and so on. Safety, convenience, comfort and management control have been further improved. Due to the unrepeatable uniqueness of human characteristics, this biological key cannot be copied, stolen or forgotten, so it is more sought after by the public.
AI+Transportation
With the accelerated development of artificial intelligence technology, the transportation industry is ushering in a profound change. With the large-scale networking of traffic checkpoints, a large number of vehicle traffic records are collected, and artificial intelligence technology can be used to analyze urban traffic flow in real time, adjust the interval of traffic lights, shorten the waiting time of vehicles and other measures to improve the traffic efficiency of urban roads. The city-level artificial intelligence brain can grasp the trajectory information of vehicles passing on urban roads, vehicle information in parking lots and parking information in the community in real time. It can predict changes in traffic flow and the number of parking spaces half an hour in advance, and reasonably allocate resources and divert Traffic, realize the large-scale traffic linkage scheduling of airports, railway stations, bus stations, and business districts, improve the operation efficiency of the entire city, and provide guarantees for the smooth travel of residents.
Conclusion: How should AI + security be taken? Wait for the time to be revealed. Finally, I wish that while embracing artificial intelligence, security companies will have more growth and progress, and win more markets and returns!
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