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With the improvement in the level of development and automation of the production technology, the production of traditional manufacturing has undergone profound changes. In the field of automation, the complexity of the operation and the work is done by machine or harmful auto-complete, in order to achieve this, the machine has a certain intelligence. Smart car, also known as the wheeled robot is a mobile robot. The smart car is a set of environmental perception, planning decisions, automatic driving functions in a light mechatronic systems, which focus on the use of the computer, sensor, information, communication, navigation, artificial intelligence and automatic control of high-tech, smart an important part of the transportation system. It has a broad application prospects in the field of military, civilian, space development. Visual positioning method is an advanced positioning methods developed in recent years. Vision not only refers to the feelings of the optical signal, and also includes the visual information acquisition, transmission, processing, storage and understanding of the whole process. Signal processing theory and the computer later, people are trying to use the camcorder environment image and converted into a digital signal, using a computer to realize the whole process of the visual information processing. Visual processing research goal is to make the computer through one or more images cognitive ambient information. This capability not only so that the robot can sense objects in the environment of the geometric information, shape, position, posture, movement, etc., but they can be described, storing, recognition and understanding. According to statistics, more than 80% of mankind to accept the information from the visual, the same access to environmental information for mobile robot using vision sensors have many advantages. Computer image processing capabilities and the rapid development of technology, as well as a variety of high-end digital image processing equipment cost performance, combined with technologies such as microwave, laser, sonar, visual signal has a wide detection range, target information integrity, cost inexpensive and more in line with human cognitive habits, and other significant advantages, computer vision system for mobile robot navigation. Real-time sensor signal acquisition, intelligent analysis of the external environment, path information, automatic direction control and speed adjustment, intelligent vehicle control system, the main features of its design content covering machinery, automotive, electronics, automatic control, computer, sensor technology and other disciplinary fields of knowledge, as an emerging technology, can be widely used in factories, automatic material car, fixed Venue van and other technical fields, has a good prospect. It also can be applied to complex, poor working environment, representatives of the aspects of the logistics system handling equipment. This paper describes the design of a visual smart car hunt. The segmentation module includes detailed descriptions of specific design. The smart cart system MC9S12DG128B as the entire system information processing and issue control commands core, based on information acquisition camera of the black line, extract the center location of the black lines and obtained trolley departing from the extent of the black line, to distinguish the road shape, this The image information for further processing to control the steering gear, steering speed sensor for real-time speed information, incremental digital PID control algorithm to achieve a closed-loop feedback control. The article describes in detail the acquisition module, image acquisition module and speed information acquisition module and motor drive module and Servo drive module action execution module of the program selection and circuit design principle, the relevant principles of image sensor installation and image pre-processing method its software. The tests show that the smart car can be good to follow the black guide lines, corresponding to the different shapes of road to be appropriate control strategies, fast and stable throughout the hunt trip.
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