With the continuous adjustment of the global manufacturing pattern, the traditional manufacturing industry is deeply integrated with the new generation of technology. Machine vision technology helps the continuous upgrading and transformation of the manufacturing industry, and to a certain extent promotes the development of intelligent manufacturing.

The basic functions of machine vision and its main application industries

First of all, industrial machine vision can realize the following four basic functions, namely, identification, measurement, positioning and detection:

A. identification. It mainly identifies the physical features of the object, including surface features such as shape, color, character and bar code. The main indexes to measure the recognition accuracy are accuracy and speed recognition. It is mainly used in the traceability of materials, processes and stations. The method is to read letters, numbers and characters (such as bar codes, two-dimensional codes, etc.) on parts.

B. measure. By calibrating the obtained image pixel information as the measurement unit, the geometric size of the target object is accurately calculated, which is mainly used in high-precision and complex morphometry.

C. positioning. It refers to the acquisition of the spatial position information of the target object, which can be divided into two-dimensional or three-dimensional information. It is mainly used to complete the auxiliary operation, which is often used to assist the assembly and picking of the robot.

D. detection. Is to detect the surface state of the target object, so as to determine whether the product has quality defects, such as parts appearance defects, contaminants attachment, functional defects, etc.

Industrial machine vision is mainly applied in the following industries:

A. Consumer electronics industry. The application of this industry is mainly reflected in the main board, parts assembly, machine assembly of these three major production links. As consumer electronics become more sophisticated, quality standards are rising as components get smaller and smaller. Therefore, the demand for industrial machine vision is constantly enlarged. Taking 5G smart phones as an example, product upgrading and technology upgrading correspondingly require machine vision tools to be upgraded. In the motherboard and parts assembly, still to 2D vision, 3D vision as a supplement. In the assembly of the whole machine, the main is still manpower. Machine vision mainly do appearance detection, the most is to do glass detection. In defect detection, machine vision is the most widely used place. Its high precision, high speed detection ability, can be very good to complete the scratch, damage, spot, color difference detection.

B. Semiconductor industry. The semiconductor industry is the earliest and more mature field of industrial machine vision application, which is also related to the rapid iteration and upgrading of the semiconductor industry. Its high-end market is basically occupied by overseas manufacturers. On the other hand, it also has something to do with the fact that the precision of semiconductors is so high that manual testing cannot play its proper role. For example, the appearance defects, size, quantity, flatness, distance, positioning, calibration, solder joint quality, bending and other tests of semiconductors, especially the detection, positioning, cutting and packaging of chips need to be dominated by industrial machine vision. Taking cutting as an example, rapid and accurate positioning is required. If the location goes wrong, the entire chip will die. The whole cutting process also needs the machine vision system for the whole positioning guidance. After cutting is completed, non-defective products are identified by machine vision and entered into the patch process.

C. The automobile industry. Today's automobile industry has achieved a high degree of automation, industrial machine vision plays a huge role in production efficiency, quality assurance, safety and reliability. Machine vision has been throughout the entire automobile manufacturing process, including the initial raw material quality inspection to 100% online measurement of auto parts, and then the welding, gluing, punching and other technological processes to control, and finally the body assembly, vehicle quality control. In addition, the vision guidance technology guides the robot for the best matching installation, accurate hole making, weld guidance and tracking, spraying guidance, windshield loading guidance, etc. This is the main application area of the automotive industry and the main area of innovation for domestic companies at present. With the increasing proportion of electronic parts of new energy and intelligent vehicles, the role of industrial machine vision is becoming more and more important.