Four characteristics of AI security in 2021

In recent years, artificial intelligence technology has begun to be applied on a large scale in the security market, vigorously promoting the innovation and evolution of the traditional security industry, and security has also become the most basic and fastest-growing application landing industry of artificial intelligence technology. At this stage, machine learning, deep learning, self-identified language processing, robotics, computer vision, etc. are the most important development areas of artificial intelligence technology. The development of these sub-fields cannot be separated from the massive data sets in the security field for algorithm training. At present, artificial intelligence technology has formed large-scale landing applications in several scenarios such as smart policing, smart transportation, smart communities, smart construction sites, scientific and technological epidemic prevention, and emergency management.

At this stage, security has two major characteristics. One is that in the traditional video-based security industry, after years of development, a large amount of data resources have been accumulated to meet the requirements of artificial intelligence based on big data-based algorithm model training; The characteristics of pre-prevention, response during the event, and tracing after the event in the security industry also coincide with the fit of artificial intelligence algorithms and technical applications. Therefore, artificial intelligence technology will inevitably bring huge changes and influences to the security industry, and promote the rapid development and progress of the industry.


Broaden the boundaries, video surveillance will become a strategic infrastructure

With the integration of new technologies such as artificial intelligence and the Internet of Things, the security industry presents new business models, and the boundaries are constantly being widened. The largest sector is still the video surveillance field. According to data, video surveillance systems account for 54% of the security market and are the most important segment of the security industry. For example, the application of AI+AR technology, through camera video tag addition, video intelligent analysis, realization of video real-world map, visual inspection and other functions, the camera is no longer just a means to achieve security, but also the most important way to obtain images and videos in the Internet of Things era. Information portals and carriers will become the strategic infrastructure of an information society.

Increasing demand for analysis capabilities in China and Taiwan

Compared with traditional security, the AI algorithm middle station can eliminate the interference factors in the surveillance scene and complete the main target path and related functional analysis. The analysis center also puts forward new requirements for the integration capabilities of security companies, not only to improve the efficiency of compatibility between the algorithm side and the front end, but also to avoid the simple application of structured data, and to truly realize the benefit of customers through analysis capabilities The goal of achieving high-quality big data structure and achieving excellent and precise decision-making. In general, the demand for high-end intelligent security equipment with analytical capabilities will continue to grow.

Edge computing and central intelligence combined application

With the continuous extension of security intelligence, the industry’s demand for AI algorithms is increasing, and most smart city solutions require corresponding algorithms to implement related functions. Taking smart transportation as an example, the current bayonet capture requires tracking of vehicle license plates, models, and trajectories, and processing these data requires lightweight data fusion. With the improvement of the hardware performance of smart cameras, more calculations are transferred to the edge, and preliminary analysis and processing of data are completed at the front end, realizing the liberation of the back-end computing power.

Edge computing and smart centers are indeed an indispensable part of the construction of smart cities. IDC data shows that the global edge computing market will reach 41.1 billion U.S. dollars in 2020, which is equivalent to half the output value of the security market. As the smart era continues to deepen, Edge computing is bound to bring greater technical and commercial value, which is also a rare opportunity for the development of security companies.

The 3D reality is gradually mature, and the market has great potential for development

Most of the existing security system solutions are deployed on two-dimensional maps (GIS). With the maturity of three-dimensional technologies such as BIM, CIM, and oblique photography, most of the security monitoring systems in the past two years have achieved three-dimensional real-world upgrades. , Because it is a new thing, the current applications are not rich enough and have great development potential. The reconstruction algorithm integrated with artificial intelligence can bring a full-chain optimization and upgrade to the 3D modeling industry, and realize intelligent data preprocessing, intelligent reconstruction and intelligent data application. Breaking the traditional three-dimensional model, understanding and giving the model real scene information, the semantic three-dimensional model that can be perceived, recognized and used by the machine is the necessary foundation for the intelligent future.

Article source: China Security Association Official Account