Replenish your knowledge
In addition to understanding the numerous disciplines required to design today’s high-performance machine-vision and image-processing systems, engineers must keep up with the latest technology, standards, and product developments as they become available.
Developing machine-vision and image-processing systems requires expert knowledge of disciplines such as physics, optics, computer science, and mechanical engineering. In addition to understanding the numerous disciplines required to design today’s high-performance machine-vision and image-processing systems, engineers must keep up with the latest technology, standards, and product developments as they become available.
However, due to rapid technological advances, engineers confront a lifetime of learning to offset the fact that whatever knowledge gained has an ever-decreasing lifespan. That’s why the staff of Vision Systems Design magazine is proud to bring you the most comprehensive and global source of information about the latest news, technology trends, machine-vision components and applications.
The content in each and every issue includes exclusive systems integration articles that explain how technology has been used in real-world applications. By doing so, we hope to inform you of technology that may be useful in your application. To complement the magazine, our website also contains numerous informative resources such as white papers, editorial digests and webcasts.
In fact, at http://bit.ly/VSD-WEBCASTS you will find information on our entire 2018 line up of tutorial-based webcasts to help you replenish your knowledge. Here is the schedule:
• Machine Vision Trends 2018 and Beyond (April25)
• How to Deploy Deep Learning Technology in Vision Applications (May16)
• Comparing CCD, CMOS, and Hybrid CCD/CMOS TDI Image Sensors (June 6)
• Analyzing and Addressing Issues in Typical MV Systems in Automation (June20)
• 10 Things to Consider When Designing a Vision System (July18)
• Infrared imaging Q&A webcast: Latest applications, technology, challenges (August8)
• A look at the role of machine vision technologies in the IIoT (August22)
• Using Multispectral and Hyperspectral Imaging in Inspection (September 12)
• Embedded and Mobile Vision Systems Enabling Technologies and Applications (September 26)
• Advancements in Vision-Guided Robotics: 3D Vision for Clutter (October 10)
• Imaging in Science and Medicine: Trends, Techniques, Applications, Components (October24)
• 3D Imaging: Discover the Current and Future Methods and Applications (November 28)
• Specifying Vision System Components to Fit Your Application (December12)
Should you have any suggestions about how we may continue to improve our magazine, website, newsletters, or webcast schedule, we would like to hear from you. I hope you find this issue useful and look forward to your continued loyalty as a reader of Vision Systems Design.