Questions? Call Us.

Toll Free: 1-800-517-3005
Mon-Fri 8am to 5pm (Pacific Time)
Welcome Guest!
Log In  /  Join Us
corner tube Machine Vision: Availability Of Technologies And Main Applications
Back To Blogs List

New technologies make available higher image quality, which allows you to solve problems not only better, but also more of them. The availability of technologies opens up new opportunities for system integrators, buyers of machine vision components (cameras, optics, light), both with traditional and new customers. End users (manufacturing of something) and suppliers of machine vision systems get the opportunity to solve problems that previously could not be approached by either technological or (more often together) budgetary constraints.

Professional interests: industrial machine vision systems, the use of machine vision technologies in new areas (transport, trade, security). Possibilities of embedded machine vision applications and new technologies (neural networks, hyperspectral imaging, etc.).

Successful development of the engineering business since 1995. Work in the domestic and global markets in the field of high technologies. Long-term cooperation with the world's leading technology leaders.
Machine vision lenses with light guide

What will drive the machine vision sales and market forward?

In the world, this is the ever closer integration of machine vision with embedded platforms in a wide variety of industries - from cars (built-in all-round cameras, driver assistants: lane control, road signs, "sleeping driver" in motion, etc.) to food production ( quality control, organization of flexible production) and agriculture (autonomous tractors, combines and other equipment, sorting). Of course, security and sales support systems (together, because they have the same basis - monitoring of human actions). There is also transport stream management (ITS). In general, there is an obvious trend of transformation of individual machine vision systems into an intelligent, functional element of complex machines, devices and systems. A separate story is augmented reality (AR, Augmented Reality). Here, the integration of machine vision with a person. We are a complex and capricious object for integration, so it is not yet clear when AR will "shoot" (this year or next), but it is obvious that it will have a significant impact on all areas of human life, since it directly affects the way a person receives information through the main its source is the eyes. And machine vision (more likely computer vision, but this is a question of terminology) is a key technology here.

Not yet impressive and no improvement is visible. There is no reason for that. Therefore, for the introduction of modern systems in principle into the domestic industry, and machine vision systems in particular, the prospects are still very weak. Check for more here on

Should we share the trends in the field of machine vision systems?

I would not separate machine vision and Embedded Vision. Embedded systems are one of the most promising areas of machine vision today, if you will, embedded machine vision. Nobody shares the processor used in phones and the processor used in computers and other devices: the technologies are the same. It's the same with machine vision: mathematics and physics are the same in both traditional and embedded applications. The form factor is different - this is true, but it does not change the essence of the matter. There are tasks for capturing an image, processing it. At the same time, optics, lighting, cameras, communication interfaces, computers, software are still needed. Embedded systems have their own limitations due to additional requirements for size and consumption,

What is the impact of the development of the digital economy on the machine vision market?

The main problem is a sober assessment of the capabilities of modern technologies for solving specific problems. Due to the specifics, security and motion control systems became the first experience of using embedded vision systems in conjunction with cloud technologies. Other practical examples appear, although the pioneers here are those who work in the global market. I hope there will be more of them in the future. Unfortunately, due to the peculiarities (distortions) in the domestic competitive environment, conservative (as it were, "safe" from the point of view of decision-makers, and cheaper) systems still have a priority. Nevertheless, due to the obvious advantages, technologies "grow through the asphalt" in our country as well.

Commenting is currently disabled for this post.


. fuzz