Standardization is incredibly important to any industry, and none more so than the relatively complex and globally distributed machine vision industry.
According to the results of the recent VDMA Machine Vision Market Survey the industry turnover of the machine vision sector in Germany in 2012 almost reached its previous peak value of 2011.
Counting objects in an image seems like an easy task, which can be automated through machine vision and image analysis, but it becomes difficult when objects touch, move randomly, or are hard to distinguish from their background.
The machine vision professional gains a new tool with SWIR.
March 5, 2013
Short wave infrared (SWIR) machine vision imaging is a key tool in manufacturing and industrial processes to measure, monitor, control or otherwise manage the reliable and quality-conforming production of goods that do not respond well to standard range machine vision cameras.
Since its adoption in 2006, the GigE Vision standard has become a favorite of the machine vision industry, growing to more than 30% of units sold annually, according to data compiled by the Automated Imaging Association.
Since the emergence of CameraLink, the first dedicated data transmission standard for machine vision applications, the industry has made major moves to develop new standards to meet the rapidly developing technological advances in camera technology and an ever-expanding range of applications for vision.
Total machine vision sales in North America rose 3% compared to the second quarter of 2011, according to new statistics from AIA, the industry’s trade group.