Machine Vision: Background Pusher of Intelligent Manufacturing
2019-07-13 08:35 Source: Euronet 100 million
With the deepening of Made-in-China 2025, the industry market of industrial intelligent robots has shown explosive growth momentum, and the role of machine vision as the "golden eye" of industrial robots has played an important role.
There is no doubt that the future of intelligent manufacturing automation is the direction of development. Especially under the background of Intelligent Manufacturing Industry 4.0, which takes high-end equipment manufacturing as the core. With the deepening of Made-in-China 2025, the industry market of industrial intelligent robots has shown explosive growth momentum, and the role of machine vision as the "golden eye" of industrial robots has played an important role.
Machine vision uses machine instead of human eyes to measure and judge. Its function is not only limited to receiving information through computer, but also includes processing and judging information to realize the extension of human vision. In the intelligent manufacturing system, the application of machine vision can be summarized into four directions:
1. Dimension measurement
Machine vision measurement technology is a non-contact measurement method based on optical imaging, digital image processing and computer graphics. It has a rigorous theoretical basis, a wider measurement range, and a higher measurement accuracy and efficiency than traditional measurement methods.
2. Object Location
The initial state of parts and the relative position of robots are not fixed during the operation of industrial robots in the fixed processes of welding, handling and assembling in the traditional manufacturing industry. As a result, there is a gap between the actual placement and the ideal processing position of the workpiece, and it is difficult for the robot to process according to the original program.
With the emergence of machine vision technology and more flexible machine arm, this problem has been well solved, which provides a driving force for the rapid development of intelligent manufacturing.
3. Parts Inspection
There are many shortcomings in traditional manual testing: firstly, the accuracy of manual testing depends on the state and proficiency of workers; secondly, the efficiency of manual operation is relatively low, which can not meet the requirements of mass production testing; in recent years, labor costs are gradually rising.
Therefore, machine vision technology is widely used in product inspection. In the manufacturing process, the lack of some steps or processing defects will lead to the loss of parts, as well as the common surface defects such as holes, stains, scratches, etc. These problems encountered in industrial production can be solved by visual inspection and algorithm.
4. Image Recognition
In the industrial field, the main applications are bar code reading, two-dimensional code scanning recognition, etc. In the past, NFC tags and other carriers were often used to read information, which required close contact with products.
With the updating of hardware devices such as industrial cameras, two-dimensional codes and other identifications can be read and recognized from a long distance, and the information carried is more abundant. All product information can be written into two-dimensional codes without the need for network query information.
Intelligent Manufacturing Demand is Great and Technology Market Develops Together
It can be predicted that with the in-depth integration of machine vision and robots, visual robots will occupy an important position in the field of intelligent equipment in the next decade. According to data, China's machine vision market will exceed 10 billion yuan for the first time in 2018. With the improvement of industry technology and the wider application of products, the machine vision market will be further expanded in the future. It is estimated that the market scale will be nearly 12.5 billion yuan in 2019.