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With the continually increasing demand on framerates, bit depths, and resolution, interface standards must adapt to these changes with new ways to transfer data with increased speed and robustness.
High bandwidth is essential when transmitting big data volumes in image processing systems. However, available interface technologies like GigE or CoaXPress are the bottleneck when talking about bandwidth. By pre-processing the image in the camera and applying data compression technologies this bottleneck can be mitigated.
Video interfaces and cabling have played a significant role in bringing new capabilities to machine vision and supporting automation’s migration into a broadening range of markets.
When designing an imaging system, one of the most important factors to consider is the camera interface. Besides important parameters like resolution, frame rate, sensitivity and read-out technology, the video and control interface is one of the most critical components
Advances in camera, sensor, and video interface technologies have helped power the continuing development of machine vision solutions for manufacturing and quality inspection that far surpass the abilities of any human.
3-D imaging is integral to machine vision, dating back to 1960 when Larry Roberts wrote his PhD thesis at MIT on the possibility of extracting 3-D geometric information from the standard 2-D views.
ALTHOUGH THE VIDEO INTERFACE IS A SMALL PART OF THE OVERALL VISION SYSTEM, IT HAS A LARGE IMPACT ON THE USABILITY, COST AND SCALABILITY OF THE FINAL PRODUCT.
Sistema is one of the fastest growing food storage brands in the world. The distinctive plastic clips on Sistema’s plastic products are well-known in households across New Zealand, and increasingly around the world.
Cameras are everywhere. The need for increased automation, higher quality manufacturing, and smarter machines has fueled the growth of vision being embedded into machines, robots and other systems that can use visual data to gain a more complete understanding of the environment around them.
The need for best practices within the vision technology industry has been addressed over time through system integration certification and interoperability standards.
The need for best practices within the vision systems industry arose almost as soon as end-of-use companies began implementing vision systems technology in their operations.