Machine vision inspection equipment has the advantages of improving production efficiency, improving product quality, reducing costs, and enhancing corporate image in automated production. Especially in the field of industrial production, machine vision has significant application value in ensuring the accuracy and speed of production, as well as the reliability in industrial on-site environments. It is a very important link for enterprises in repetitive and mechanical work.
Automated visual inspection equipment is used for product appearance and surface defect detection in inspection operations, such as processing inspection of electronic components, metal surface visual inspection, diode substrate inspection, printed circuit board defect inspection, and automatic recognition of weld seam defects. By utilizing the outstanding advantages of non-contact, fast speed, appropriate accuracy, and strong on-site anti-interference ability of the visual system, machine vision technology has been widely applied and has achieved enormous economic and social benefits.
The application of visual inspection in industrial manufacturing has irreplaceable advantages, such as:
Testing efficiency: The rapid development of industrial automation has greatly improved production efficiency, thus placing higher demands on testing efficiency. The efficiency of manual testing is within a fixed range and cannot be significantly improved. However, during the repetitive and mechanized testing process on the assembly line, inspectors are prone to fatigue, which can lead to a decrease in testing efficiency; And machine vision can detect products faster, especially when detecting high-speed moving objects on the production line. Machines can improve detection efficiency, and the speed can even reach 10-20 times that of manual labor.
Accuracy: Due to the physical limitations of personnel, even relying on a magnifying glass or microscope to detect products can be subjectively affected, and accuracy cannot be guaranteed. Additionally, there may be differences in the standards of different testing personnel; The machine has obvious advantages in terms of accuracy, with an accuracy of up to one thousandth of an inch. Moreover, the machine is not subject to subjective control, and as long as there are no differences in parameter settings, multiple machines with the same configuration can maintain the same accuracy.
Objectivity: Manual testing inevitably leads to fatigue, and at the same time, there is a fatal flaw, which is the subjectivity brought by emotions. The test results will vary with the mood of the prosecutor; And since machines lack joy, anger, and sorrow, the detection results they bring are naturally more objective and reliable.
Repeatability: The machine can complete the testing work in the same way one at a time without feeling tired; On the contrary, manual long-term repetitive testing will definitely lead to fatigue, and there will be slight differences every time the product is tested, even if the product is completely the same.
Environment: Machine vision converts the target into an image signal through an image capture device and transmits it to a dedicated image processing system. During the measurement process of the workpiece, there is no need to contact the workpiece, so it can adapt to harsh and dangerous production environments without causing contact damage to the workpiece; However, manual labor requires contact testing with the workpiece, as it cannot cope with harsh environments and inevitably causes contact damage to the workpiece during the inspection process.
The initial investment in cost machine vision will be relatively high, but it belongs to one-time investment and long-term output. Due to the rapid development of machine vision, prices will gradually decrease; However, manual testing requires long-term investment, and the cost of manual management will continue to rise. Due to the much higher detection efficiency of machines compared to manual labor, the cost of machine vision will be lower in the long run.
Information integration: Machine vision can complete the measurement of multiple technical parameters such as the contour, size, appearance defects, and product height of the product to be inspected in one go through multi-station detection methods; When faced with different testing contents, manual testing can only be completed through cooperation and coordination among multiple workstations, and different employees have different testing standards, which can easily lead to false testing.
Digitization: The measurement data generated by machine vision during the work process can be independently copied or copied through network connection, making it easy for production process statistics and analysis. At the same time, it can also export specified data and produce reports after detection, without the need for manual addition one by one, which is undoubtedly much better than manual detection of data statistics.
Machine vision has the characteristics of automation, objectivity, non-contact, and high accuracy compared to manual detection. In the future development of industrial manufacturing, visual inspection equipment will be increasingly widely used in various fields, becoming an important equipment to improve the core competitiveness of enterprises.