In the 20th century, the emergence of the Internet has completely changed the work and life of human beings around the world. Today, people are increasingly inseparable from network. The Internet has been integrated with the global industry, agriculture, education, science,technologyand national defense. The current Internet was originated in the United States. The Internet systems based on IPv4 and IPv6,they are controlled by the United States completely. Computers connected to the Internet are subject to data retention and backup in the United States. Data security is greatly threatened. In addition, due to limitations and loopholes in the design of the Internet, the Internet is subject to many different types of attacks. Internet research which based on security autonomy has received the attention of sovereign countries in the world. This paper mainly introduces the Future Internet system developed by Chinese researchers based on the current research on Internet servers,which is a new generation network system,the research and application of this system will have a profound impact on the world's Internet.

The detection and tracking technology of moving object image is one of the key technologies of computer vision, and is widely used in many fields such as industry, transportation, and military. The detection and tracing of moving object in the motion scenes based on the UAV platform is a technical difficulty in this field. In practical applications, the characteristics of complicated environment, small target object and moving platform require higher real-time performance and reliability of the algorithm. If it is possible to add some other features of the target to the tracking process, it will be possible to improve the shortcomings of Camshift itself. Based on the Camshift tracking algorithm, this paper integrates SURF feature detection into the algorithm, which greatly improves the tracking accuracy of the target object, and also has better real-time performance which can achieve better tracking performance of the object.

With the development of communication network and computer software and hardware technology, especially the emergence of high-precision and high-resolution image sensors, the photography and measurement technology of aerial image have played an increasingly important role in today's geological survey. The traditional aeronautical measurement is carried out by a large manned aircraft. The collected measurement information has a large capacity and a wide shooting range, which is suitable for large-area operations. This type of measurement requires high hardware requirements and is expensive, and it is not suitable for small areas. UAV aerial measurement system is used to measure the small areas, UAV is in small size, with great flight fluctuation, but the data image collected is not accurate enough. In this paper, the common algorithms of image fast matching are compared to conduct in-depth research on gray-level matching and feature-based matching, and SIFT feature matching algorithm based on feature matching is proposed to obtain the measurement image as consistent as possible with the actual scene. The main features of the object to be measured can be obtained through the actual surface area image measurement test, which is of practical significance in the practical low-altitude small area surveying and mapping.