Shulou(Shulou.com)06/03 Report--

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The landing of artificial intelligence technology and the technological innovation of R & D team all need to take the realization of industrial application as the ultimate goal.

China has a unique market size in the world, and any emerging technology facing such a huge market scale will produce new qualitative changes. The research of artificial intelligence technology at the basic level needs to rely on massive data and the final application market to realize cash.

With the continuous maturity of big data mining and artificial intelligence deep learning technology, China is ushering in good market opportunities in the field of speech recognition and image recognition. Application scenarios in the application layer begin to achieve diversified extension. The rapid rise of industries such as intelligent security in the field of public safety, intelligent medical care in the field of health, intelligent transportation and self-driving in the field of travel. The continuous deepening of the application of vertical industries is stimulating the rapid development of AI. At the same time, there is a huge demand for customization. These elements are not available in the American market, and it is precisely where China's advantage in the development of artificial intelligence lies.

Take the domestic intelligent security as an example, with the rapid development in recent years, it has always maintained a leading position in the global security field. At present, artificial intelligence technology based on deep learning is rapidly integrated into the field of security, especially face recognition technology is widely used at present. The application of face recognition technology in intelligent security has achieved good results in the fields of layout and investigation, criminal suspect identification, portrait identification and key places access control.

From a technical point of view, the realization of landing is mainly focused on the following aspects:

Through the cutting-edge technologies of artificial intelligence such as deep learning, we can realize target detection, target tracking, target classification, target retrieval and behavior analysis in video. Target classification captures the appropriate target after target detection and tracking, and its attributes can be analyzed.

Take the human body of the monitoring scene as an example to identify the physiological properties of pedestrians. By analyzing the body structure of pedestrians, we can accurately identify the gender, age, posture and other physiological characteristics of the characters in the video.

To identify pedestrians and vehicles, the pedestrian detection algorithm based on deep learning can accurately find the position of pedestrians under all kinds of occlusion, and can further analyze the posture and movement of pedestrians, which can be used in traffic monitoring, auxiliary driving, self-driving and so on. Many kinds of vehicles from different angles can be detected in driving scene, traffic monitoring scene and bayonet scene, and physical characteristics such as license plate number, car brand, model, color and so on are given at the same time.

In addition, crowd analysis is realized. In high-density public places, such as subways, squares, estimate the number and density of people, at the same time detect crowd density, abnormal aggregation, detention, retrograde, chaos and other abnormal phenomena.

Whether traditional security enterprises such as Haikang Weishi, Dahua shares, or artificial intelligence start-ups Shangtang, Guanshi, Smart Eye, etc., are increasing investment in the field of AI+ security, and continue to launch new products combined with practical applications to achieve landing applications in smart cities.

In addition, with the landing of big data and the new technology of artificial intelligence, it has stimulated the potential security demand, promoted the development of new security technologies and products, realized new application modes and markets, and a large number of artificial intelligence algorithm enterprises have entered the security field to compete with traditional security enterprises for the security cake in the AI era.

The above-mentioned landing application of artificial intelligence in specific industries and sub-fields, American artificial intelligence enterprises are unable to achieve real landing application in application, big data collection and other aspects due to privacy, law and other factors.

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