The term “smart city” has been mentioned by more and more people in recent years. Smart cities use various information technologies to integrate the city’s composition systems and services, which improves the efficiency of resource utilization and improves the quality of life of residents. With the development of science and technology, artificial intelligence has been widely used in all aspects, from transportation to cultural travel, from security to home furnishings. Artificial intelligence is changing people’s lives and enabling the construction of smart cities.
Smart cities are an inevitable product of the collection of achievements in the development of industrialization, informatization, and urbanization in today’s society. It is produced with the development of a new round of information technology such as the Internet of Things, a new generation of mobile broadband networks, and cloud computing. It is extremely innovative and has a high degree of awareness. It will cause major changes in people’s life, production and thinking patterns.
Smart cities make full use of new technologies and the enlightenment they bring to transform and upgrade systems, operations, and services, making them smarter cities than traditional cities. Smart cities are mainly composed of several links such as “data collection, storage, and analysis”. The goal is to generate insights from massive amounts of data. The concept of smart city covers almost all areas of society and life, such as smart environment, smart economy, smart life, smart information, smart circulation, and smart government.
So, what role does artificial intelligence, which is very popular recently, play in the construction of smart cities? Let’s take a look at the application of artificial intelligence in the fields of transportation, logistics, medical care, and security in the construction of smart cities.
At present, on a global scale, it has become a trend for major cities to compete for the development of smart cities, and in this field, smart transportation is the hottest.
With the continuous acceleration of the urban-rural integration construction process, the problem of road traffic congestion has always brought a lot of inconvenience to people’s daily travel. Although the state has introduced many solutions to deal with this problem in recent years, according to a large number of research data , the analysis shows that the above work has never achieved the expected results, and the traffic congestion problem has not been effectively solved. In recent years, with the continuous development and wide application of artificial intelligence technology, the emergence of smart transportation has effectively solved the above problems to a certain extent. That is, people can quickly judge each road section through some artificial intelligence systems, so as to select the best and most unobstructed road section, avoid the aggravation of road congestion, and lay a solid foundation for the sustainable development of urban roads. In addition, the combination of urban roads and artificial intelligence technology has significantly improved the overall competitiveness of the city from a certain aspect. On the basis of promoting the progress and development of the city, it has also created a good for the improvement of the overall international competitiveness. Conditions, and ultimately created good conditions for the expected enterprise benefits.
We often say that traffic is the “capillaries” of a city. It is like the capillaries of the human body, connecting arteries and veins, branching and anastomosing each other into a network, maintaining the normal operation of urban traffic. However, with crowded people, tight traffic, and the transfer of countless people and materials, mega cities are essentially the flow of countless data, but these data lack command and thinking, and each flows according to their own wishes. Many congestion and accidents are brewing on this basis. Therefore, in the process of building smart cities and intelligent transportation, AI is particularly important.
With the help of advanced technologies and concepts such as mobile Internet, cloud computing, big data, and the Internet of Things, the traditional transportation industry and the Internet will be effectively penetrated and integrated to form a new business model with “reasonable distribution of online resources, and efficient and high-quality offline operations”. The new model uses satellite positioning, mobile communications, high-performance computing, geographic information systems and other technologies to realize the real-time perception of the state of urban and inter-city road traffic systems, and accurately and comprehensively report traffic conditions through mobile phone navigation and roadside electronic announcements. It is provided to the common people through channels such as board and traffic radio station. On this basis, it integrates real-time driving behavior sensing and analysis technology to realize multi-mode and multi-standard dynamic navigation for public travel and improve travel efficiency.
The so-called urban data brain, in short, is the use of artificial intelligence technology to form a data-driven urban decision-making mechanism, and adjust and allocate public resources based on real-time data. In the eyes of public opinion and ordinary urban residents, artificial intelligence may be superior, and more exist in laboratories and expensive corporate services. However, everyone is wrong, artificial intelligence is all around us, and it may be helping you direct traffic right now.
With the continuous development and wide application of Internet technology, the surveillance system has achieved rapid development since its inception in the 1880s. It has been widely used in various fields of urban life, but it is more cumbersome to face the current situation. How to effectively improve the utilization rate of monitoring information and data has become the core direction of the current smart city construction and development. The application of artificial intelligence technology has effectively solved the above problems to a certain extent. Specifically, as for fingerprints and people in smart technology, the face recognition function can help the public security department or other enterprises and institutions to quickly find useful clues in numerous surveillance videos, improve the detection rate, and lay a solid foundation for the harmonious development of society. In addition, artificial intelligence security surveillance system has also been widely used in safe deposit boxes, anti-theft doors, and other grassroots areas closely related to the lives of ordinary people. It has played an important role in increasing information security and protecting people’s practical interests.
The maturity of AI technology makes it possible for artificial intelligence to automatically digest massive amounts of surveillance video data. At present, artificial intelligence has gradually penetrated into the security industry. As we all know, a large amount of audio and video data generated by security systems are unstructured data that cannot be quickly searched and cannot be statistically calculated. These data need to be transformed into structured data. It is intelligent processing.
Every day, tens of thousands of data are generated in various cities, and from these data, what artificial intelligence has to do is to convert these videos into meaningful intelligence. In terms of image recognition technology used in security, vehicle recognition technology has matured. Since last year, vehicle big data products have been launched by many manufacturers and will become more and more popular in the future. But there is much room for improvement. However, face recognition is still very basic, and most ordinary security surveillance cameras today cannot meet the conditions of face recognition resolution at all.
Although the application of artificial intelligence in the security field is not very mature, with the continuous deepening of the construction of smart cities, the important role of smart security will become increasingly prominent, and the emerging security products and services will gradually become popular.