High speed GigE Vision multi-camera machine vision solutions
06 October 2015
STEMMER IMAGING’s GigE Vision multi-camera embedded machine vision solutions from Teledyne DALSA can now handle even faster industrial inspection applications using TurboDrive-enabled Genie Nano area scan and Linea line scan cameras.
With TurboDrive technology potentially doubling GigE Vision data transfer rates, these new cameras can be coupled with Geva industrial controllers and the Sherlock advanced machine vision software to provide a complete multi-camera system.
TurboDrive uses a sophisticated pixel analysis and processing method for image encoding that allows data transfer at rates up to double that of standard GigE Vision (dependent on the image itself) with no loss of image data. With the latest Genie Nano area scan and Linea line scan cameras also offering efficiencies such as burst mode image acquisition and multiple regions of interest to speed up data acquisition, TurboDrive allows these data to be transferred to one of the Geva range of industrial controllers at even faster rates for processing and analysis using Sherlock machine vision software. Allowing the data transfer and processing load to be reduced not only boosts performance but also reduces system cost.
The Geva-3000, for example, is equipped with a Gen3 Core i7 processor, paired with high-speed memory resources to effectively manage the most demanding multi-camera applications. Six Gigabit compliant Ethernet ports are internally connected through independent data lanes to alleviate the bandwidth bottlenecks often associated with multi-camera acquisition.
Sherlock machine vision software is highly popular with vision integrators thanks to both its facilities and flexibility. It provides a comprehensive set of vision tools and capabilities in a graphical design environment that can be applied to applications across all industries. Vision solutions can be built quickly and easily using Sherlock’s extensive library of preprocessors and advanced algorithms yet the system retains the flexibility for integrators to write custom scripts, import proprietary tools and develop custom operator interfaces if necessary.
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