Five years ago, some manufacturers in the security industry have proposed the development goals of the three phases of security: “visibleâ€, “clear†and “understandableâ€. Among them, “understand†can be regarded as the current fire. The prototype of the " AI ". As everyone knows, before 2016, the industry has begun to explore intelligent applications such as face recognition and video structuring. However, due to its low accuracy and high false positive rate, it lacks effective processing methods for massive video structuring and facial feature information. , resulting in poor availability of these smart applications. Let's take a look at the related content with the security electronic editor.
With the development and improvement of deep learning, big data, algorithms and other technologies in recent years, video structuring technology, massive data processing and search technology have gradually matured. In 2016, AI and big data applications began testing water in the security industry. By 2017, the application of AI in the security industry has shown a hundred flowers and a hundred schools of thought, and more and more AI startups have gathered in the security industry. It can be clearly stated that after 2017, it is believed that “AI†will be “outbreak†in the application of security industry.
+AI makes video application value betterAt present, startups around AI have entered the security industry, and such companies are known as “AI+Security†companies. In addition, the security industry is the main channel, based on the traditional security companies accumulated in the security industry, through the "AI" technology to improve the original security business applications, such companies are known as "security + AI." At present, the “Security + AI†approach highlights the commercial value of security products and systems.
In the security industry, most of the current AI applications are “non-criticalâ€. This is because AI is not mature in many security scenarios, but it cannot be solved only by AI. It needs to cooperate with “big data†at the same time. "Internet of Things", "cloud", "blockchain" technology, etc., can create more value. In the future, more and more applications of “Security Industry + IoTâ€, “Security Industry + BigDataâ€, and “Security Industry + BlockChain†will appear.
As AI's financing volume continues to innovate, the capital market is increasingly optimistic about AI technology, and the security industry is a place where AI applications are more, and it is inevitable that there will be a homogenization trend. Taking the face application of security industry as an example, the highlights of many AI vendors are still at the stage of “recognition rateâ€, while ignoring face recognition technology is only one of the “enable technologies†for face applications in the security industry. The in-depth understanding of the security industry can realize the "AI" landing in the security industry and form a better boosting force. This is also the advantage of traditional security enterprises such as Hikvision, Dahua, Dongfang Netpower and Zhongxing Liwei. Based on years of deep cultivation experience in the security market, it can better promote the application of AI in various industries.
+AI as the mainstream trend in the security industry, if AI startups form an ecological cooperation with traditional security vendors, and take advantage of their respective fields, thus more quickly promote the application of AI in the security industry. The author believes that with joint innovation and ecological cooperation, we can provide more valuable AI products and solutions for users in the security market. Traditional security companies have established their own core competitiveness through establishing ecological strategic cooperation with AI cutting-edge and virtual reality enterprises. This is also one of the mainstream trends in the future industry development.
Future trends: cloud + side?At present, AI still has many problems in security applications. More than just solving the problem of “with and withoutâ€, it ignores the key issues – many application scenarios of security can not be solved by a general intelligent front-end. However, due to the customization of the requirements of some different scenarios, the price of the products is also high.
With the development of intelligence in the future, “cloud + edge†is undoubtedly the mainstream direction, and the future intelligent trend will move toward coordinated “league learningâ€.
In this trend, intelligent terminals have online learning capabilities in addition to intelligent data collection. And a large number of intelligent terminals with learning ability will bring the online training model to the cloud, and then carry out refined migration learning, so as to obtain a better intelligent model, and then update to the front-end smart device to form an ecological closed loop, so that the value of the video is full of imagination. space.
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