What is deep learning?
Deep learning is one of the machine learning methods, and machine learning is a way for computers to learn from examples of the world around us or one of their specific aspects, making computers smarter. In all machine learning methods, deep learning is the most unique because it is inspired by our exploration and research on the human brain. Deep learning attempts to make computers learn many different levels of abstraction and expression, which may be the reason why such systems are so successful.
Why is the security industry a deep learning focus?
The security field is an industry that can generate huge amounts of data at any time. Under the blessing of AI technology in the past two years, these data are generating new meanings and solving more problems for the traditional industry of security.
As a natural training field and application field of artificial intelligence technology, the security industry has an urgent need for the application of artificial intelligence. Based on the natural attributes of the security industry, the security industry has deep investment in the artificial intelligence market. Due to the sensitivity to the market, mainstream equipment solution providers have already made their efforts to enter the market. With their respective experience in the security industry, they have achieved good results in application. Among them, the achievements in deep learning are particularly outstanding, and become the key technology to ignite the development of artificial intelligence.
The main research areas of deep learning are in speech recognition and vision, and deep learning is applied in all directions, and different technological innovations can be made in different fields. For the security industry that has mastered many video image resources, the combination of deep learning and security has a high degree of fit, ie analysis of images and videos, including:
——In image analysis, such as familiar face recognition, text recognition and large-scale image classification, deep learning greatly improves the accuracy of complex task classification, which makes image recognition, speech recognition, and semantic understanding accuracy significantly improved. .
——In terms of face, face detection, face key point positioning, ID card comparison, clustering, face attributes, live body detection, etc. can be realized. In terms of intelligent monitoring, it is possible to conduct video structure research on people, motor vehicles and non-motor vehicles.
- In terms of text, the identification of small tickets, the identification of credit cards, and the identification of license plates are all done by deep learning algorithms. At the same time, in the processing of images, defogging, super-resolution, de-jittering, de-blurring, HDR, and various intelligent filters are designed using deep learning algorithms.
Deep learning in the security industry focuses on volume analysis (face recognition, body feature extraction technology), vehicle analysis (vehicle recognition technology, vehicle feature extraction technology), behavior analysis (target tracking detection technology, abnormal behavior analysis technology), image analysis ( Video quality diagnostic technology, video summary analysis technology) on the four blocks. With the breakthrough of deep learning algorithms, intelligent analysis techniques such as target recognition, object detection, scene segmentation, character and vehicle attribute analysis have made breakthroughs.
According to the Prospective Industry Research Institute's "China Internet + Security Industry Development Forecast and Investment Strategy Planning Analysis Report", in recent years, with the increasing demand for security. The market size of China's security industry has increased from 235 billion yuan in 2010 to 540 billion yuan in 2016, with a compound annual growth rate of 15%.
It is worth mentioning that compared with traditional security measures, a new generation of security technology is using diversified and rapid development with artificial intelligence, cloud computing, big data, Internet of Things, mobile internet and other technologies. “AI+Security†is bringing people Come to a more "smart" security era.
According to the "13th Five-Year Plan (2016-2020) Development Plan of China's Security Industry" issued by China Association for Security, during the "13th Five-Year Plan" period, the security industry will be transformed into a large-scale, automated and intelligent transformation. By 2020, the total revenue of security companies will reach 800 billion yuan, with an annual growth rate of more than 10%.
"In the next 4 to 5 years, security will enter an era of rapid development of artificial intelligence." Yan Xiaqing, vice president of Yushi Technology, a domestic security company, said that the security industry has basically completed the adaptation of scene intelligence in 2016; it will enter in 2017 and 2018. The artificial intelligence stage based on deep learning; by 2019 and 2020, it will fully enter the stage of digital intelligence. Finally, after the digital intelligence phase, the artificial intelligence of the security industry will be fully integrated with the industry-wide, all-IT big data business platform, and security will enter the intelligent era.
In addition to winning the positive response of industry giants, “AI+Security†has also received policy blessings at the national level.
In June 2016, the “Internet†artificial intelligence three-year action implementation plan issued by the Ministry of Industry and Information Technology pointed out that intelligent security will be the key application and promotion field for artificial intelligence product innovation. The "Proposal" proposes to implement the intelligent security promotion project, encourage security companies to cooperate with Internet companies, and develop intelligent security products that integrate multiple technologies such as image and video accurate recognition, biometrics recognition, and code recognition to promote the security of security products. Intensive and networked.
Conclusion: At this stage, not only the security industry, but also more and more industries and enterprises are exploring in the field of deep learning. Of course, we also expect that under the influence of deep learning and even artificial intelligence and the innovation of various security manufacturers, more intelligent security products can be quickly applied to improve the efficiency of urban security systems!
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