Intelligent inspection trolley based on YOLO

With the arrival of the era of 5G Internet of everything, the Internet plus intelligent inspection and testing has become a development trend. Our country is the world's largest manufacturing country, testing industry has a large scale. In recent years, under the trend of intelligent upgrading of manufacturing industry, intelligent testing system is gradually widely used in the fields of environmental protection, scientific research, aerospace, medical, electronics, communications, military, chemical industry and other fields. Although intelligent detection technology is deeply involved in public life, its application in the field of traffic detection still belongs to the blue ocean stage. In recent years, the pace of intelligent transportation has been accelerating as our country has been striving to build a higher level of safe transportation. It is imperative to make the intelligent detection system strengthen the fine management of urban traffic and improve the ability of safety risk monitoring and early warning. This paper mainly takes the development of intelligent detection industry as the background, carries out software design and hardware research and development to solve the industry detection pain points, and develops patrol vehicles suitable for various monitoring scenarios through the actual test in traffic identification and instrument monitoring scenarios, so as to help the development of national intelligent monitoring field. The YOLO-based intelligent patrol vehicle independently developed in this paper is capable of monitoring machines and equipment at work, warehouses and other places as well as identifying and detecting traffic road signs by remote control through Raspberry PI, Internet of Things technology and deep learning algorithm. The inspection car can be controlled by the user remotely, or the car can automatically detect the equipment according to the user's route setting. At the same time, the car has the automatic obstacle avoidance function, which can avoid obstacles intelligently. In addition, the patrol car can run on the highway so as to play the function of road condition detection, including traffic sign recognition, road fault recognition, abnormal situation capture, etc. The intelligent patrol vehicle developed in this paper reduces the human monitoring labor, and can effectively improve the detection efficiency, greatly convenient people's lives, and has strong implementability.