The robot vision system is generally composed of optical systems (light sources, lenses, industrial cameras), picture acquisition units, picture processing units, actuators and human-machine interfaces and other modules.
1. Visual imaging part
Visual imaging consists of several typical components: light sources, lenses, and industrial cameras.
Both light sources and lenses require us to grasp the common sense of optics, and different lighting methods can make the camera produce completely different images of objects; The different selection of lens magnification, focal length, field of view, etc., directly determines the fidelity of the image. For a machine vision engineer, it is the most basic skill to grasp how to select the lens, how to choose the light source, and how to confirm the lighting method.
Industrial camera needs we grasp the common sense of optoelectronics, grasp the difference between camera sensors, grasp the basic knowledge of picture imaging such as clarity, dynamic scale, field of view, etc., so that we can choose the right camera according to the needs and scenes, the fastest way to grasp these common sense is to buy an entry-level SLR to study through the connection between these imaging parameters and imaging.
2. Drawing processing part
Picture processing is generally understood to be carried out on PC machines, and in practice, in the industrial field, most of them use industrial computers, because of its stability and cost advantages.
In recent years, embedded hardware has also been vigorously developed, and many factories can use open source hardware such as Raspberry Pi to control the switching and condition monitoring of hundreds of dashboards.
For beginners, the development of the PC channel and the X86 channel can be extended to the embedded channel after understanding.
In the software part, most of the application layer is implemented in C#, .net, QT, and C++, so it is necessary to grasp one of the programming languages; At the level of drawing algorithms, typical open-source algorithms include OpenCV, commercial ones such as HALCON and VisionPro, etc., and it is advocated that HALCON can be used to get started at the beginning; If you want to go deeper at the algorithm level, you can discuss machine learning, which may be the first direction in the future.
In terms of theory, it is more about grasping the basic concepts of picture processing.
3. Motion control part
Typical motion control cards such as Gugao can be discussed at a start. A more advanced PLC can also be played, and the difficulty of this part lies in the correction of accuracy, because many scenarios and needs have very high requirements for accuracy.
In addition to the above three points, the ability to build the whole plan is crucial, because the planning requirements string these parts together and can be linked to the practice scenario to meet the production automation needs of the practice.
The establishment of the whole plan depends on: a deep understanding of the production process, the connection between all components, a deep understanding of the connection; Both of these points require the accumulation of experience from multiple projects to be able to come up with a good plan.
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2. The welding torch should be stable
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OTC bot setup
1. Improve the authority of the robot to handle:
Turn on the power supply of the robot control box and enter the main interface of the teach pendant:
As shown in the figure above, press to enter the R function code interface, enter 314, and then, enter the authority password 12345, and then. You can carry out the robot handling operation.
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1. 3 years warranty (body, control box, teaching box, operation box, control cable);
2. Full Chinese operation interface, simple and easy to understand, and can support 6 language selection;
3. The operating radius is long, and the operating radius of the standard welding robot can reach 1.4 meters or 2 meters (excluding the welding gun).
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