Industrial vision systems are image recognition machines for automatic inspection, workpiece machining and assembly automation, and control and monitoring of production processes.
Image recognition machines for automatic inspection, workpiece machining and assembly automation and control and monitoring of production processes. The image recognition process of the industrial vision system extracts the relevant information from the original image data according to the task needs, and highly describes the image content in order to explain and judge some of the contents of the image. The industrial vision system can be seen as a simplified primary machine vision system for tasks. Almost all areas of industrial production require the use of machine vision instead of human vision, especially those requiring high visual accuracy of speed, accuracy, or reliability, and the need for industrial vision systems. Automatic inspection with industrial vision systems can be connected to computer-aided design and computer-aided manufacturing, which is a necessary means of implementing the Computer Integrated Design and Manufacturing Center (CIDMAC). And CIDMAC can significantly improve the efficiency of small batch processing and product quality.
Industrial vision systems can be used for a wide variety of tasks. According to the use of the following examples can be cited: for CIDMAC in the target positioning, orientation and identification; defect inspection (such as metal components of the cracks); sorting (such as picking nuts from the shell); grading ); Measure the size of the food, cloth or machine; check the correctness of the assembly; check the food, cosmetics, pharmaceutical contamination; detection of chemical leakage; instrument calibration; tool wear detection As well as product packaging inspection. Industrial vision system according to the characteristics and complexity of the measured scene and the specific tasks handled can be divided into automatic inspection, parts processing and assembly, production process control three categories.
Automatic inspection is the most important application area of ??industrial vision system. Its advantage is to provide fast contactless measurement, the inspection rate of parts is almost 100%, and visual inspection machine into the existing production system than the robot vision system convenient. In many industrial production areas, automatic inspection is a necessary condition for achieving production automation. In the system of automatic conveying parts, even simple parts such as screws must be 100% tested, otherwise it will reduce the efficiency of the machine and even cause serious accidents. The tasks of automatic inspection mainly include completeness inspection, shape inspection and surface inspection:
① complete test on the parts on the parts are complete, missing to test. Loss of parts on a component can cause serious consequences. For example, if the cap of the engine valve spring is lost, it is possible to destroy the engine.
② Example of shape inspection This example is a simple component such as a screw or a screw, which checks the roundness of the wafer, and checks the size, shape and position of the label on the package or bottle. One of the most important applications of the shape inspection is to test the printed circuit board, including the wire break on the test board, the short circuit, the protrusion, and the distance between adjacent two lines.
③ surface inspection This is an important step in quality control. For example, check the surface of steel plate, bearing parts, enamel or glass. It is usually necessary to examine a number of successive surfaces of different shapes and to distinguish them from defective damage.
Parts processing and assembly
The main visual task of this type of application is to determine the position and orientation of the component. The parts are usually packed in containers for transport or storage, in which the original position is disrupted. Including the small interference from the pallet to the component position to the process of packing the parts will make the original position confusion. There is no general solution to this. Several kinds of vision systems have been developed for the directional components on the robot random crawler. But this kind of application in the production process is not universal. In the chip welding process requires a visual system to guide the welding position, and to assist the vibration conveyor on the mechanical classification of components. It is also necessary to use the vision system to determine the position and direction of the hub when installing a motorcycle with a robot. Most assembly tasks require visual and tactile coordination, such as inserting a needle into a hole. This task can also be done with a specially crafted mechanical system.
Production process control
The most important application area for industrial vision systems in production process control is welding control. In the automatic welding process, it is often necessary to use a visual system to track the weld due to the difference in the preparation of the weldment connection and the inaccurate positioning and thermal distortion occurring during the welding. In the arc welding, strong light and welding flowers to the image analysis to bring difficulties. A special shutter was developed for this purpose, only during the short circuit of the process. In the immersed arc welding, the welding process of the visual system is not much interference. The industrial vision system is also used to read the characteristics of the component or the bar code on it to assist in the distribution of components in the production process.