What is the definition of Siemens vision system? What are the applications in the automotive industry?

The start of machine vision began in the 1980s, and so far, from the perspective of technological development, it has gone through about three development stages. The first stage is the color-difference sensor stage; the second stage is a stage where various video cards are emerging; the third stage is a stage where the embedded vision system and the video card coexist. According to the development of the past few years, the next few years will be an important stage of visual development, and embedded systems will also play an increasingly important role.

At present, the total global vision market is about 6-7 billion U.S. dollars, mainly in Europe, America and Japan, and there is about 100 to 200 million U.S. dollars in China. According to my country's GDP growth rate of 8%, the share of industrial growth is 20% to 30%. According to conservative estimates, the growth rate of vision should not be less than 10% to 15%.

First, let's understand the definition of machine vision and machine vision system. As the name implies, machine vision is to use machines instead of human eyes to make measurements and judgments. The machine vision system refers to the conversion of the target to be detected into digital signals through machine vision products (ie, image capture devices, divided into CMOS and CCD), and these digital signals are then transmitted to a dedicated image processing system (divided into embedded and video Card mode), the image processing system sets the inspection task according to the task requirements to be inspected. Then according to the discriminant result, control the on-site equipment actions.

The characteristic 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 working environments that are not suitable for manual operations or where the human eye is difficult to meet the requirements, machine vision is often used to replace artificial vision; at the same time, in the mass industrial production process, manual visual inspection of product quality is inefficient and accurate. Not high, using machine vision inspection methods can greatly improve production efficiency and production automation. Moreover, machine vision is easy to realize information integration, and it is the basic technology to realize computer integrated manufacturing.

Siemens machine vision system is an embedded vision system, divided into VS100 series and VS700 series. The VS100 series are dedicated vision products, and the SIMATICVS100 series vision systems are used for specific image processing tasks. SIMATICVS110 is used for contour detection, SIMATICVS120 target search and search, and SIMATICVS130 two-dimensional code detection. The sensor is carried out and configured by "teaching" instead of programming, so it does not require special image processing knowledge and is low in price.

The SIMATICVS700 series general vision system is mainly used for quality inspection and quality control in the production process. This general system can be programmed to complete all functions such as image acquisition, image processing, load driving, and networked communication (via PROFIBUS or Industrial Ethernet)-very suitable for completing many test tasks in a test cycle. It is precisely because the machine vision system can quickly obtain a large amount of information, and is easy to automatically process, and is also easy to integrate with design information and processing control information. Therefore, in the modern automated production process, people use machine vision systems widely for working condition monitoring, Finished product inspection and quality control and other fields. In China, this kind of application is gradually being recognized, and the most direct response is that the domestic demand for machine vision will increase.

The start of machine vision began in the 1980s, and so far, from the perspective of technological development, it has gone through about three development stages. The first stage is the color-difference sensor stage; the second stage is a stage where various video cards are emerging; the third stage is a stage where the embedded vision system and the video card coexist. According to the development of the past few years, the next few years will be an important stage of visual development, and embedded systems will also play an increasingly important role.

At present, the total global vision market is about 6-7 billion U.S. dollars, mainly in Europe, America and Japan, and there is about 100 to 200 million U.S. dollars in China. According to my country's GDP growth rate of 8%, the share of industrial growth is 20% to 30%. According to conservative estimates, the growth rate of vision should not be less than 10% to 15%.

First, let's understand the definition of machine vision and machine vision system. As the name implies, machine vision is to use machines instead of human eyes to make measurements and judgments. The machine vision system refers to the conversion of the target to be detected into digital signals through machine vision products (ie, image capture devices, divided into CMOS and CCD), and these digital signals are then transmitted to a dedicated image processing system (divided into embedded and video Card mode), the image processing system sets the inspection task according to the task requirements to be inspected. Then according to the discriminant result, control the on-site equipment actions.

The characteristic 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 working environments that are not suitable for manual operations or where the human eye is difficult to meet the requirements, machine vision is often used to replace artificial vision; at the same time, in the mass industrial production process, manual visual inspection of product quality is inefficient and accurate. Not high, using machine vision inspection methods can greatly improve production efficiency and production automation. Moreover, machine vision is easy to realize information integration, and it is the basic technology to realize computer integrated manufacturing.

Siemens machine vision system is an embedded vision system, divided into VS100 series and VS700 series. The VS100 series are dedicated vision products, and the SIMATICVS100 series vision systems are used for specific image processing tasks. SIMATICVS110 is used for contour detection, SIMATICVS120 target search and search, and SIMATICVS130 two-dimensional code detection. The sensor is carried out and configured by "teaching" instead of programming, so it does not require special image processing knowledge and is low in price.

The SIMATICVS700 series general vision system is mainly used for quality inspection and quality control in the production process. This general system can be programmed to complete all functions such as image acquisition, image processing, load driving, and networked communication (via PROFIBUS or Industrial Ethernet)-very suitable for completing many test tasks in a test cycle. It is precisely because the machine vision system can quickly obtain a large amount of information, and is easy to automatically process, and is also easy to integrate with design information and processing control information. Therefore, in the modern automated production process, people use machine vision systems widely for working condition monitoring, Finished product inspection and quality control and other fields. In China, this kind of application is gradually being recognized, and the most direct response is that the domestic demand for machine vision will increase.

In the automotive industry, the demand for product accuracy and quality to meet the requirements is increasing day by day. Therefore, the current production in the automotive industry is characterized by faster and faster production cycles and the supply of a large number of raw materials and parts. This provides a place for machine vision systems. Machine vision is gradually being regarded as an integral part of any automation solution and becoming a standard discipline in the field of automation technology.

The SPS/IPC/DRIVES exhibition held in Nuremberg this year focused on machine vision systems, which also shows the increasing importance of machine vision. Through the VS100 and VS720 image sensors, Siemens Automation and Drives Group demonstrated a large number of vision systems that can be used in various fields of the manufacturing industry. Machine vision is rapidly entering various fields, occupying one industrial sector after another. In the electronics industry, especially in areas such as high-precision chip position recognition or position correction and assembly parts inspection for SMT (Surface Mount Equipment), a consensus has been formed over the past few years: now it is necessary to meet high quality and production standards The only way is to use flexible image processing methods. In any case, machine vision is now indispensable, even in the automotive industry that has three-dimensional automatic assembly that can provide the best accuracy level and adapts to a large number of different and improved types of assembly lines.

In the past, machine vision systems were limited to only a few experts. Since the introduction of intelligent image systems that are easy to integrate into automation solutions, the application of image processing in the field of automation technology has grown at an incredible rate. Siemens' service scope has expanded from general-purpose systems suitable for general applications to all special-purpose systems, providing optimal solutions for almost all needs.

In the manufacturing of engines and gearboxes, the automotive industry uses Siemens vision systems to detect parts and record the date of manufacture of assembled parts. Parts suppliers use it to detect the dimensional accuracy of parts, correct the pressure of auto parts, and can also be used to correctly install seat belts and other similar safety accessories.

Improving quality and increasing output are the main reasons why the world's leading automobile manufacturing giants choose to invest in machine vision. One example is the use of optical equipment in the automotive industry to check the integrity of spring assemblies. As the provider of Siemens automation solutions, HeitecAG in Erlangen has customized the system and provided a complete solution including a loading and unloading system and a machine vision system.

The detection device uses an optical method to detect whether the spring is assembled correctly. The spring assembly includes a metal shaft, a ceramic cylinder inserted, 10 curved spring washers and a terminal piece. In order to be able to check the correct assembly, the spring is installed on a wheel rail and passed through a camera through a conveyor belt. Any "bad products" identified by the camera as unqualified are ejected by the pneumatic cylinder, and the "genuine products" are transported to a buffer station. Here they will be used for further processing.

The image processing system used includes a Siemens VS110 vision sensor and an infrared lighting device; the processing system consists of an automatic transmission device (capable of supporting 10 spring groups) and an automatic ejection device for rejecting "bad products" . The entire testing equipment is controlled by Siemens S7-200.

The use of this device can significantly improve the quality and increase the output. In fact, the engineers at Heitec are confident that it will enable "our customers to recoup their investment in a short time."

Features of Siemens Vision System

With the appearance of the Siemens VS100 kit, Siemens has entered a brand new equipment category. This category includes checking the form, model and location of small parts, as well as reading 2D codes according to ECC200. And for this purpose, the VS110, VS120 and VS130 view sensors are designed. It is a complete device, including the lighting unit, control unit, sensor and cable.

All view sensors in the VS100 range are plug-and-play, easy to learn, and do not require special training and guidance. Since the system is "teaching" without programming, even non-professionals can master image processing effortlessly. Up to 15 different detection procedures can be saved using power-down protection, and can be quickly converted to other models or types. Thanks to the compact design of the system sensor technology, the products of the Siemens VS100 family can be connected to a variety of transmission systems, such as oscillating transmission systems, conveyor belts or fixtures. In addition, some standard interfaces such as RS232, Profibus, and Industrial Ethernet enable the view sensor to be flexibly and easily integrated into the complex automatic control environment.

The new VS720 production line is designed to handle more complex tasks. It is the perfect complement to the Siemens VS700 universal camera suite and strengthens Siemens' position in the field of flexible and universal systems. All functions, such as image capture, image processing, final result generation and communication are combined in a compact process, which is an ideal solution for several inspection tasks in one inspection cycle.

The new kit currently contains 6 smart cameras to meet the different needs of machine vision, such as automatic inspection, production monitoring and part recognition. The VS721CMOS and VS722 basic models represent a more economical solution for a large number of "routine" tasks. The VS721 with CMOS camera is especially suitable for occasions where the accuracy requirements are not very high and the price is relatively economical. VS723 is a camera for high-speed photography, such as packaging technology, and many areas that need to perform performance inspection tasks, such as surface inspection. VS724 is a high-resolution camera that provides up to 1.3 million pixels and can take very detailed images, so it is very suitable for inspection tasks that require high precision. VS725 color is dedicated to other application areas. Because the system has the ability to analyze colors and detect specific color values, it can safely and reliably distinguish components through color codes, detect label printing colors or identify glue beads.

The cameras in the VS720 series provide an integrated Ethernet interface and 8 freely configurable digital inputs and outputs. The camera can be easily connected to the network via Ethernet and can be accessed by almost any PC, thus greatly simplifying the maintenance and diagnosis of the equipment. The VS link interface module can display images taken by several cameras on one monitor. It can also be connected to the connection module via Profibus, which saves an additional PC for monitoring functions. Moreover, the bandwidth provided by the industrial Ethernet enables the quality data and fault images to be quickly backed up on external devices.

Since Simatic configuration software has many detection functions, it can provide a user-friendly method to establish a customized image processing solution, that is, when there is no camera connection, the emulator can be used for configuration.

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