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[ Hot attention from Chemical Machinery Equipment Network ] The machine vision department includes lens, lighting system, camera system and image processing system
.
For each application, the operating speed and image processing speed of the system, the use of color or black and white cameras, the size of the detection target or whether the detection target has defects, field of view, resolution and contrast need to be considered for each application
.
Chemical machinery and equipment network hotspots pay attention to chemical machinery and equipment.
For each application, the operating speed and image processing speed of the system, the use of color or black and white cameras, the size of the detection target or whether the detection target has defects, field of view, resolution and contrast need to be considered for each application
.
Machine vision is a branch of artificial intelligence that is developing rapidly
.
Simply put, machine vision is to use machines instead of human eyes to make measurements and judgments
.
The machine vision system converts the captured target into an image signal through a machine vision product (ie, image capture device, divided into CMOS and CCD), and transmits it to a dedicated image processing system to obtain the morphological information of the captured target.
According to the pixel distribution and Information such as brightness and color is converted into digital signals; the image system performs various operations on these signals to extract the characteristics of the target, and then controls the actions of the equipment on the spot according to the results of the discrimination
.
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Simply put, machine vision is to use machines instead of human eyes to make measurements and judgments
.
The machine vision system converts the captured target into an image signal through a machine vision product (ie, image capture device, divided into CMOS and CCD), and transmits it to a dedicated image processing system to obtain the morphological information of the captured target.
According to the pixel distribution and Information such as brightness and color is converted into digital signals; the image system performs various operations on these signals to extract the characteristics of the target, and then controls the actions of the equipment on the spot according to the results of the discrimination
.
The application fields of machine vision systems are becoming more and more extensive
.
It is widely used in industries such as industry, transportation, medical treatment, agriculture, national defense, finance, and even sports and entertainment
.
It can be said that it has penetrated into all aspects of our lives, production, and work
.
From a functional point of view, a typical machine vision system can be divided into: image acquisition part, image processing part and motion control part
.
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It is widely used in industries such as industry, transportation, medical treatment, agriculture, national defense, finance, and even sports and entertainment
.
It can be said that it has penetrated into all aspects of our lives, production, and work
.
From a functional point of view, a typical machine vision system can be divided into: image acquisition part, image processing part and motion control part
.
The design of the vision system is divided into two parts: software design and hardware design
.
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The software design of the vision system is a complex subject.
Not only the optimization of the program design, but also the effectiveness of the algorithm, and whether it can be realized, must be considered in the process of software design
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The software design of the vision system must be tested and improved to adapt to the complex external environment
.
Not only the optimization of the program design, but also the effectiveness of the algorithm, and whether it can be realized, must be considered in the process of software design
.
The software design of the vision system must be tested and improved to adapt to the complex external environment
.
The hardware of the vision system is mainly composed of a lens, a camera, an image capture card, an input and output unit, and a control device
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The quality of a vision system depends on the level of the camera's pixels, the quality of the hardware, and more importantly, the coordination and rational use of the various components
.
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The quality of a vision system depends on the level of the camera's pixels, the quality of the hardware, and more importantly, the coordination and rational use of the various components
.
working principle
working principle Machine vision hardware mainly includes two parts: image acquisition and vision processing, and image acquisition is composed of vision sensors , lighting systems, analog-digital converters, and frame memory
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Robot vision acquires a two-dimensional image of the environment through a vision sensor, analyzes and interprets it through a vision processor, and then converts it into a symbol, allowing the robot to recognize the object and determine its location
.
Sensor converter .
Robot vision acquires a two-dimensional image of the environment through a vision sensor, analyzes and interprets it through a vision processor, and then converts it into a symbol, allowing the robot to recognize the object and determine its location
.
Application status
Application status In foreign countries, the application and popularity of machine vision is mainly reflected in the semiconductor and electronic industries, of which about 40%-50% are concentrated in the semiconductor industry
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Specifically, such as PCB printed circuit: various production printed circuit board assembly technologies and equipment; single, double-sided, multi-layer circuit boards, copper clad laminates and required materials and auxiliary materials; auxiliary facilities and consumables, inks, medicines, accessories, and electronics; packaging technology and equipment; screen printing apparatus and a screen surrounding materials
.
SMT surface mount: SMT process and equipment, soldering equipment, testing equipment, rework equipment and various auxiliary tools and accessories, SMT materials, patch tablets, adhesives, flux, solder and anti-oxidation oil, solder paste, cleaning agents, etc.
; Reflow soldering machine, wave soldering machine and automated production line equipment
.
Electronic production and processing equipment: electronic component manufacturing equipment, semiconductor and integrated circuit manufacturing equipment, component molding equipment, electronic tools and molds
.
The machine vision system has also been widely used in all aspects of quality inspection, and its products occupy a pivotal position in the application
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In addition, machine vision is also used in various other fields
.
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Specifically, such as PCB printed circuit: various production printed circuit board assembly technologies and equipment; single, double-sided, multi-layer circuit boards, copper clad laminates and required materials and auxiliary materials; auxiliary facilities and consumables, inks, medicines, accessories, and electronics; packaging technology and equipment; screen printing apparatus and a screen surrounding materials
.
SMT surface mount: SMT process and equipment, soldering equipment, testing equipment, rework equipment and various auxiliary tools and accessories, SMT materials, patch tablets, adhesives, flux, solder and anti-oxidation oil, solder paste, cleaning agents, etc.
; Reflow soldering machine, wave soldering machine and automated production line equipment
.
Electronic production and processing equipment: electronic component manufacturing equipment, semiconductor and integrated circuit manufacturing equipment, component molding equipment, electronic tools and molds
.
The machine vision system has also been widely used in all aspects of quality inspection, and its products occupy a pivotal position in the application
.
In addition, machine vision is also used in various other fields
.
In China, the application of vision technology began in the 1990s, because the industry itself is an emerging field, coupled with the insufficient popularity of machine vision product technology, resulting in almost blank applications in the above industries
.
At present, most domestic machine visions are foreign brands
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Most domestic machine vision companies basically started by acting as agents for various foreign machine vision brands.
With the continuous application of machine vision, the company has gradually grown in scale and has gradually matured in technology
.
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At present, most domestic machine visions are foreign brands
.
Most domestic machine vision companies basically started by acting as agents for various foreign machine vision brands.
With the continuous application of machine vision, the company has gradually grown in scale and has gradually matured in technology
.
With the improvement of the economic level, 3D machine vision has also begun to enter people's field of vision
.
3D machine vision is mostly used for the rating of fruits and vegetables, wood, cosmetics, baked goods, electronic components and pharmaceutical products
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It can improve the production capacity of qualified products and scrap inferior products early in the production process, thereby reducing waste and saving costs
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This function is very suitable for imaging of product attributes such as height, shape, quantity and even color
.
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3D machine vision is mostly used for the rating of fruits and vegetables, wood, cosmetics, baked goods, electronic components and pharmaceutical products
.
It can improve the production capacity of qualified products and scrap inferior products early in the production process, thereby reducing waste and saving costs
.
This function is very suitable for imaging of product attributes such as height, shape, quantity and even color
.
In terms of industry applications, there are mainly pharmaceutical, packaging, electronics, automobile manufacturing, semiconductor, textile, tobacco, transportation, logistics and other industries.
Using machine vision technology to replace labor can improve production efficiency and product quality
.
For example, in the logistics industry, machine vision technology can be used for sorting and sorting of express delivery, and most express companies will not manually sort, reduce the damage rate of items, improve sorting efficiency, and reduce manual labor
.
Using machine vision technology to replace labor can improve production efficiency and product quality
.
For example, in the logistics industry, machine vision technology can be used for sorting and sorting of express delivery, and most express companies will not manually sort, reduce the damage rate of items, improve sorting efficiency, and reduce manual labor
.
Source: OFweek Gongkong, Encyclopedia
Original title: Machine vision technology gradually matures and application areas are becoming wider and wider
