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.
Technology development moves at a dizzying pace. Check the newswire, and you’ll find a list of new products that leapfrog what was heralded as the “latest and greatest” just months ago.
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.
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.
At the time of writing, six years have passed since the launch of GigE Vision 1.0. The standard has become one of the dominant interfaces in the machine vision market and continues to grow.