With the advent of the Industry 4.0 era, the role of machine vision in the field of smart manufacturing is becoming more and more important. In order to allow more users to obtain the basic knowledge of machine vision, including how machine vision technology works and why it is realized The correct choice of process automation and quality improvement, etc.
Machine vision is a subject technology that is widely used in industrial fields such as manufacturing and inspection to ensure product quality, control production processes, and perceive the environment. The machine vision system converts the captured target into an image signal, which is sent to a dedicated image processing system, and converted into a digitized signal according to the pixel distribution and information such as brightness and color; the image system performs various operations on these signals to extract The characteristics of the target, and then based on the results of the discrimination to control the on-site equipment actions.
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Machine vision advantage: Machine vision system has the characteristics of high efficiency and high automation, which can achieve high resolution accuracy and speed. The machine vision system has no contact with the detected object, which is safe and reliable.
In order to better understand machine vision, let's introduce several cases in specific applications.
Take the filling level detection system used by the brewery as an example to illustrate:
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When each beer bottle moves past the detection sensor, the detection sensor will trigger the vision system to emit a strobe light to take a picture of the beer bottle. After collecting the image of the beer bottle and saving the image to the memory, the vision software will process or analyze the image, and send a pass-fail response based on the actual filling level of the beer bottle. If the vision system detects that a beer bottle is not filled in place, that is, it fails the inspection, the vision system will send a signal to the diverter to remove the beer bottle from the production line. The operator can view the rejected beer bottles and continuous process statistics on the display.
Machine vision is a subject technology that is widely used in industrial fields such as manufacturing and inspection to ensure product quality, control production processes, and perceive the environment. The machine vision system converts the captured target into an image signal, which is sent to a dedicated image processing system, and converted into a digitized signal according to the pixel distribution and information such as brightness and color; the image system performs various operations on these signals to extract The characteristics of the target, and then based on the results of the discrimination to control the on-site equipment actions.
Machine vision advantage: Machine vision system has the characteristics of high efficiency and high automation, which can achieve high resolution accuracy and speed. The machine vision system has no contact with the detected object, which is safe and reliable.
In order to better understand machine vision, let's introduce several cases in specific applications.
Take the filling level detection system used by the brewery as an example to illustrate:
When each beer bottle moves past the detection sensor, the detection sensor will trigger the vision system to emit a strobe light to take a picture of the beer bottle. After collecting the image of the beer bottle and saving the image to the memory, the vision software will process or analyze the image, and send a pass-fail response based on the actual filling level of the beer bottle. If the vision system detects that a beer bottle is not filled in place, that is, it fails the inspection, the vision system will send a signal to the diverter to remove the beer bottle from the production line. The operator can view the rejected beer bottles and continuous process statistics on the display.
Robot vision guided doll positioning application:
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There are two vibrating discs on site. Vibrating disc 1 is used to vibrate the doll into vibrating disc 2, and vibrating disc 2 is to vibrate the doll from the reverse side to the front side. The application uses a visual positioning system. The system judges the front and back of the doll and sends the coordinates of the front side of the doll to the robot through the serial port. After receiving the coordinates, the robot moves to grab the product. When there are many dolls on the back side in the vibrating plate, The visual positioning system needs to determine the number of reverse dolls. When there are too many reverse dolls, the vision system sends instructions to the vibration plate 2 to vibrate the reverse dolls to the front.
The positioning system uses the small holes on the surface of the doll to determine whether the doll is in the front, calculates the center point coordinates of the doll, and sends it to the robot. Automatic feeding is realized through the visual positioning system, which greatly reduces labor costs and greatly improves production efficiency.
The positioning system uses the small holes on the surface of the doll to determine whether the doll is in the front, calculates the center point coordinates of the doll, and sends it to the robot. Automatic feeding is realized through the visual positioning system, which greatly reduces labor costs and greatly improves production efficiency.
Application of visual inspection in electronic components:
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This product is a button component of electronic products. The incoming material of the product is in the mode of material belt, and the upper part of the material belt is a double-row product. After positioning each component, use the spot tool to detect the gray value of the fixed area of the product to determine whether there is a lack of glue in this area.
Classification of machine vision systems
- Smart camera
- Embedded
- PC based
The composition of the machine vision system
Image acquisition: light source, lens, camera, capture card, mechanical platform
Image processing and analysis: industrial control host, image processing and analysis software, graphical interactive interface.
Judgment execution: telex unit, mechanical unit
Image processing and analysis: industrial control host, image processing and analysis software, graphical interactive interface.
Judgment execution: telex unit, mechanical unit
