In most cases, the manufacturer will choose for their application embedded vision found, set the camera processes the traditional PC-based systems simpler than setting.
As manufacturers seek economic automation and machine vision solutions use embedded vision will continue to grow rapidly.
Embedded Vision is a term that means slightly different for different people. For the use of automated machine vision manufacturers and other applications, the embedded vision usually refers to the smart camera or a smart system. Or embedded smart camera vision system is both a camera and computer equipment. In embedded vision, image processing all take place on the camera. In the traditional PC-based vision systems, the "dummy" camera will send images to PC, PC to process and analyze images. Embedded Vision exchanged complexity and flexibility of PC-based systems, simplifying and compact, these features make it a very useful technology, manufacturing applications list suited to applications involving inspection, classification or sorting growing.
As technology advances, the growing use of embedded vision. For many applications, embedded vision system set up faster, easier programming, and if that fails is easier to replace. Depending on the application, the cost of smart cameras may be lower than PC-based systems. Embedded vision system is also better able to handle some of the harsh conditions than conventional machine vision systems. Because of all these advantages, manufacturers have more choice than ever before smart cameras.
Embedded vision system is easy to use
in most cases, the manufacturer will choose for their application embedded vision found, set the camera processes the traditional PC-based systems simpler than setting. Smart camera is a complete standalone system. The camera can be placed in place, connected to the network, and you can start working only relatively little effort.
Most smart camera manufacturers use intuitive user interface design of these products, which makes secondary technical staff can configure the camera in a very short period of time. More complex PC-based systems typically require the help of a programmer to write code for the application.
Similarly, if the smart camera is damaged or needs to be replaced, compared with the failure of PC-based machine vision systems, exchange it easier, faster and cheaper. If the smart camera pummeled robot or encounter other types of mishaps, you can unplug it, the new software is uploaded to the camera and the new camera into the network to be easily replaced. Similarly, there is no need for a programmer. Compared to replace traditional machine vision systems including PC and camera or multiple cameras, the replacement of independent smart cameras much less. Use smart cameras can help limit the downtime caused by the failure or malfunction, and may cause the machine vision systems up and running quickly again.
Low-cost technology to embedded vision system has become a good choice for many manufacturers
one of the main advantages of embedded vision systems is that they are often less expensive than PC-based systems. Smart cameras than a single PC and contains a "dummy" camera cheap PC-based systems.
However, cost considerations can be complex. It includes a PC and six "dummy" camera application may be more economical than six smart camera. Although a single smart cameras may cost less, but intuitive and easy to use interface may not achieve the complexity of the desired application objectives. Sometimes manufacturers have more complex programming requirements, in this case, PC-based systems is a must.
This raises another interesting case of embedded vision systems. Today's intelligent camera design easier to deploy and operate, so users do not need to hire a programmer to write code to set the machine vision system. However, with the development of smart camera technology, users demand higher complexity and camera manufacturers face a user-friendly and easy to operate competing demand for products, but also provide solutions to the complexity and flexibility have increased Program. Camera manufacturers continue to try to meet this challenge by designing a more flexible smart cameras, while still being intuitive enough without programmer assistance can be deployed.
Embedded vision systems in some applications may be combined with PC-based vision
in some cases, the manufacturer will use PC-based vision systems and embedded vision. For example, when it comes to Web applications, such as paper production inspection, usually PC-based systems. Web applications typically require line scan cameras, smart cameras usually are not line-scan camera. Therefore, the manufacturer may have a PC-based system for monitoring defects in the paper production process, but they may also have a smart cameras further off the assembly line, monitoring the roll of packaging to ensure that the correct number of volumes to enter each packages.
Embedded Vision harsh conditions applicable to certain
application environments due to embedded vision system is closed stand-alone camera, making it ideal for might have less than ideal conditions. For example, for hygienic reasons, meat processing applications will require periodic flushing. Although the camera itself is not washed away, but no doubt it will be some time cleaning spray. Because smart camera is enclosed in a waterproof case, they can easily withstand this abuse, which would undermine the traditional camera.
Another example of the ideal conditions embedded vision are possible presence of a lot of dust in the atmosphere. Dust for machine vision is problematic, because if the dust falls on the camera's lens, it will interfere with the image acquired by the camera. In dusty environments, usually a fan of training on the camera lens to keep it clear. This is a traditional camera is problematic, because the fan may produce troublesome dust inside the camera casing, causing serious damage. Because smart camera is sealed in an airtight box, so they are not susceptible to the influence of dust penetrate into the inner workings, so for applications in dusty environments, is a better choice.
Future applications for the manufacture of embedded vision systems
embedded vision systems to reduce costs, simplify deployment and reduce operating difficulty, help manufacturers automate. Expected technology behind embedded vision will continue to develop in order to make these systems faster, cheaper, and more flexible over time.
Despite the inevitable technological progress, but do not expect smart camera completely replace the PC-based system. The traditional machine vision system technology will continue to develop, and may be embedded vision system technology is always better than a few steps ahead. However, as manufacturers seek economic automation and machine vision solutions use embedded vision will continue to grow rapidly.