Machine vision-the foundation of intelligent manufacturing

As the name implies, machine vision is the use of machines instead of human eyes for measurement and judgment. The application of machine vision is mainly manifested in four aspects:

① Guidance and positioning: Use machine vision to position the loader and unloader, and guide the robot arm to grasp accurately.

②Appearance inspection: Detecting the quality of products on the production line, this link is also the one that replaces the most labor.

③ High-precision detection: Some products have high precision, reaching 0.01 ~ 0.02m or even u level, which cannot be detected by human eyes, and must be completed using a machine.

④ Identification: Data tracing and collection are widely used in automobile parts, food, and medicine.

Taking the detection application as an example, WeiShi Image will briefly introduce the working principle of machine vision for you. Collecting the image of the detected device with an industrial camera is the most important part of machine vision. In order to detect all the required features, it is necessary to continuously adjust the parameters of the light source and the camera, and then use image processing software to calculate them and extract the target. Features to be tested, such as color, whether there are scratches on the surface of the device, whether the specifications are acceptable, whether the surface coating is uniform, etc., and then output the results, feed them back to the mechanical end to sort the devices, and select the failed devices, that is, the image Acquisition, information processing, and sorting. as the picture shows:

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Composition of a typical machine vision system 

Positioning technology of industrial robot based on machine vision

The intelligence of robots affects the entire process of industrial evolution. Traditional robots mostly implement various operations through teaching and reproduction or pre-programming, which greatly limits the application of robots. Robot motion control technology with force sense, machine vision, and multiple sensors is a model in flexible automated manufacturing technology. Using the robot's visual control does not require prior teaching or offline programming of the motion trajectory of an industrial robot, which can save a lot Programming time to improve production efficiency and processing quality.

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Industrial robot positioning technology process based on machine vision

Make robots like humans have self-awareness: where to go, what parts to grab, how much effort to grab, and where to place the parts for assembly, not controlled by a human set program, but by the robot itself. This "self-control" process is actually to give industrial robots intelligence through machine vision technology to achieve the purpose of intelligent manufacturing.

In the era of intelligent manufacturing, the development potential of machine vision is huge

China's machine vision system is still mainly used in the field of semiconductor and electronics manufacturing. It accounted for 46.4% in 2015. Among them, the most prominent ones are SMT patches, AOI / AXI equipment and connector inspection. Automotive and pharmaceuticals also accounted for a considerable proportion in the downstream of machine vision applications, reaching 10.9% and 9.7% respectively. (Data source: China Report Network)

The advantage of the machine vision system is to improve the quality of the products produced and the degree of automation of the production line. Especially in some dangerous jobs that are not suitable for manual work or where the human eye can't meet the requirements. At the same time, in the process of large-scale industrial production, manual visual inspection is used to check the quality of the product with low efficiency and low accuracy. The use of machine vision inspection methods can greatly improve the production efficiency and the degree of automation of production. The industry expects that the future market for machine vision will be further opened.