Traditional Culture Encyclopedia - Traditional festivals - Machine vision inspection takes you into Industry 4.0 and experiences the new&; Quot see & dividing line
Machine vision inspection takes you into Industry 4.0 and experiences the new&; Quot see & dividing line
Machine vision enables machines to understand the world.
As the name implies, machine vision is to measure and judge with machines instead of human eyes. The application of machine vision is mainly manifested in four aspects:
1. Guiding and positioning: machine vision positioning is adopted for loading and unloading to guide the mechanical arm to grab accurately.
2. Appearance inspection: check whether the products on the production line have quality problems. This link is also the most important part of replacing the labor force.
3. High-precision detection: Some products have high precision, reaching 0.0 1~0.02m or even U, which cannot be detected by human eyes and must be completed by machines.
4. Identification: data tracing and collection, suitable for other applications such as automobile parts, food and medicine.
Taking detection application as an example, the working principle of machine vision is briefly introduced. It is the most important part of machine vision to collect the images of the tested equipment with industrial cameras. In order to detect all the required functions, it is necessary to constantly adjust the parameters of the light source and camera, and then use professional image processing software to convert analog signals into digital signals, and then calculate them to extract the detection characteristics of the target, such as color, whether there are scratches on the surface of the equipment, whether the size is qualified, whether the surface coating is uniform, etc. And then the output results are fed back to the mechanical end to sort the devices and select unqualified devices, that is, image acquisition, information processing and sorting.
In the era of intelligent manufacturing, machine vision has great development potential.
The global machine vision industry is mainly distributed in North America, Europe and Japan, accounting for 62% in North America, 65,438+05% in Europe and 65,438+00% in Japan.
China's machine vision related industries started late, but developed rapidly. Since 2009, it has entered a period of rapid development, with an annual growth rate of 15-20%. At present, China has become the third largest machine vision market in the world after the United States and Japan. In 20 15, its market scale reached 2.2 billion yuan, accounting for 8.3% of the world, with a growth rate of 22.2%, far higher than the global average. 20 16-2020, the growth rate of machine vision market in China is expected to remain above 20%, which will reach the market space of10 billion USD.
China's machine vision system is still mainly used in the fields of semiconductor and electronic manufacturing. 20 15 years accounts for 46.4% of the total, especially SMT patches, AOI/AXI equipment and connector testing. Automobile and medicine also occupy a large proportion in downstream machine vision applications, reaching 10.9% and 9.7% respectively in 20 15 years.
The advantage of machine vision system lies in improving product quality and automation of production line. Especially some dangerous jobs that are not suitable for manual operation or are difficult for human eyes to meet the requirements. At the same time, in the process of large-scale industrial production, the product quality is detected by artificial vision, the accuracy is not high, and the machine vision detection method can be greatly improved. Improve production efficiency and production automation. The industry expects that the future of machine vision will be further opened.
Industrial application of machine vision technology
At present, domestic machine vision technology is widely used in electronic and semiconductor manufacturing, automobile manufacturing, industrial inspection, drug inspection and packaging, food packaging, printing and testing, railway and highway inspection, public security, finance, biomedicine, entertainment, military, chemical research and other fields. Undoubtedly, the industrial field is the field with the largest proportion of machine vision applications. The important reason is that China has become the processing center of global manufacturing and high-demand parts processing, and its corresponding advanced production line transformation has enabled mechanical vision products to be realized in industrial manufacturing.
Positioning technology of industrial robot based on machine vision
The intelligence of robots affects the development of the whole industry. Traditional robots mainly perform various operations by teaching reproduction or pre-programming, which greatly limits the application of robots. Robot motion control technology combining force perception, machine vision and various sensors is a model of flexible automation manufacturing technology. Through the visual control of the robot, there is no need to teach the motion trajectory of the industrial robot in advance, and there is no need for off-line programming, which can save a lot of money and programming time and improve production efficiency and processing quality.
Industrial on-line detection system
Machine vision is very active in various applications of industrial on-line inspection, such as: visual inspection of printed circuit boards, automatic flaw detection of steel plate surfaces, measurement of parallelism and verticality of large workpieces, detection of container volume or impurities, automatic identification and classification, geometric dimension measurement of mechanical parts, etc.
For example, the 100% on-line inspection of the dimension accuracy of Rover 800 series car body is a typical example of machine vision system used in industrial inspection. The system consists of 62 measuring units, each of which consists of a laser and a CCD camera, and is used to detect 288 measuring points on the fuselage shell. The detection system detects the body speed every 40 seconds and detects three types of cars. The system compares the test results with the dimensions in the CAD model, and the measurement accuracy is 0.65438 0 mm.
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