Photonfocus releases Pixel Professor Smart camera
Photonfocus, a manufacturer of CMOS industrial cameras, has brought out the Pixel Professor CMOS Smart camera, featuring on-camera image pre-processing.
The pre-processing in the camera enables the design of machine vision systems with distributed intelligence.
Performing pre-processing on the camera reduces the vision system computer CPU load, meaning the vision system can run faster or use more sophisticated algorithms in the same time period, producing better results.
The technology is scalable and can be fitted to a customer's application.
The Pixel Professor supports common image pre-processing operations in pipelined processors, such as convolution and non-linear filters, histograms, erosion and dilation, adaptive thresholding, image buffers, image arithmetic, colour space conversion, look-up tables (LUT), triangulation and others.
Setting up the pre-processing unit on the Pixel Professor is made easy with a simple graphical user interface (GUI).
It allows for control loops and multiple passes.
Customised operators can be implemented alongside standard operators.
Alternating frame capture setups can be realised with an embedded sequencer to achieve maximum frame rates.
In-built pre-processing hardware in the camera removes the reliance on specialised frame grabbers or other hardware accelerators.
The Pixel Professor cameras output pre-processed images via USB 2.0 or Gige.
No frame grabbers are required.
The benefits of the Pixel Professor cameras include: reduction of pre-processing time, which increases frame rate; enhanced algorithms with same CPU-load compared to software image processing; and real-time processing of up to 640 Mega pixel per second (Mps).
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