Challenging color image processing applications
PPT Vision's Impact M-Series Embedded Vision System features a wide array of camera specifications, applications meeting the needs of most applications.
PPT Vision adds twenty-six IMPACT M-Series color cameras with dedicated color IMPACT software tools for sorting, monitoring and identifying color objects to its line. The Impact M-Series Embedded Vision System features numerous color cameras allows the system to solve an even broader range of challenging machine vision applications. Color M-Series camera models range from economical VGA resolution cameras, to 210 frames-per-second high-speed cameras, to a five megapixel high-precision model.
Bob Heller, CEO of PPT Vision said the new system “is already improving yields and production for many manufacturers, and the new and fast color M-Series cameras now make the system an ideal solution for solving applications that require color image processing.”
Grayscale cameras, like the Impact A20, solve the majority of machine vision applications. However, sophisticated color cameras and tools are needed to solve numerous critical inspection and guidance operations for industries ranging from food products to transportation equipment. Color Impact M-Series cameras can be used to detect food spoilage and determine the fat content in meat. Other applications solved with PPT Impact color vision tools include sorting and identifying pharmaceutical tablets, detecting wire placement and components in electronic products, and many additional possibilities.
The Impact M-Series Embedded Vision System reportedly allows users to perform up to four unique inspections that can be initiated independently—at different times or simultaneously—using one vision processor. Significant cost savings are achieved by eliminating the need to purchase multiple systems for separate inspection/guidance programs, the company says, and the comprehensive system greatly reduces setup and networking time over the traditional use of multiple systems.
- Edited by Gust Gianos, CFE Media, Control Engineering, www.controleng.com
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