Stemmer lets Sherlock in

17 August 2010

Stemmer has provided access to imaging tools in its Common Vision Blox (CVB) imaging toolkit through DALSA’s advanced Sherlock imaging software. The combination brings tools such as CVB’s Manto, Minos and GigE Server to a ‘point and click’ platform that can be readily used by non-programmers.

The new combination also allows Sherlock to operate in conjunction with GigE cameras from all manufacturers.

Designed for use with Dalsa’s Vision Appliance packages that encompass both smart camera and multipoint compact vision systems, Sherlock allows automated image inspection and measurement solutions to be built for various industries.

The new platform means that it is no longer necessary to be an experienced programmer or developer to utilise unique imaging tools offered by CVB. Such tools included the neural technology-based Manto for pattern recognition and the identification of objects with organic fluctuations in their composition, and Minos for flexible and reliable high speed and high accuracy object recognition, alignment, optical character recognition and verification.

In addition, Sherlock has access to CVB’s GigE Vision Server, which enables the computer on which it is installed to behave like a complete GigE Vision and GenICam compatible camera, with freely configurable features. This offers a great deal of possibility for creating network-based vision solutions based on GigE Vision, including off-line application development while receiving on-line test images.

Here, Sherlock is used to make on-line measurements and simultaneously a remote PC equipped with Sherlock can connect to the on-line system to collect real image data to allow the measurement process to be monitored and refined without affecting the current inspection.

The new platform brings full GigE Vision and GeniCam compatibility to Sherlock, allowing the use of any GigE Vision-compliant cameras. Ring buffering and double buffering allows faster image processing and ensures that more images are processed when a series of images is acquired at high speed.

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