SVS EXO183 Camera Link, high resolution and speed

The new Camera Link version of the EXO183 is a testament to SVS-Vistek efforts and work to further improve its models and expand its portfolio of machine vision cameras.

Since the presentation of SVS-Vistek’s exo183CGE camera, GigE Vision at the end of March, the exo183CCL version of Camera Link has also been announced. It has a resolution of 20 MP, a 2.4 pixel format μm, a 15.9 mm sensor diagonal and a C-mount. The substantially faster CameraLink interface means you can transfer 2.5 times more data compared to the GigE version, resulting in a frame rate of up to 12 fps at full 20 MP resolution. The colour version is already in series production, the monochrome version will start in the next few weeks.



SVCam EXO Camera Link models allow you to maintain your existing and proven infrastructure for years to come, while taking advantage of the new range of image sensors. The serialized interface has gained wide popularity and acceptance thanks to its high bandwidth. The EXO series was the first Camera Link model to include features such as the 4 I/O strobe controller and LUT.

Advantages of the Camera Link version

For many years, Camera Link has been an extremely successful protocol for controlling industrial cameras. Benefits include PoCL, high transfer rates, extremely low latency times, real-time grabber pre-processing and galvanic isolation.

The exo174, exo250, exo250, exo252, exo267 and exo304 cameras feature a new frame rate setting that increases frame rates by up to 50% using existing hardware.

Compatibility of the frame grabber with laser triangulation

The use of frame grabber can substantially remove CPU load

Calculating the height profiles from the image data adds a heavy load to the CPU of an artificial vision system. The point clouds must be removed from the laser line of the image and converted into height profiles. The triangulation then works on the basis of these height profiles. For high resolutions, removing the height profiles from the camera image can cause a CPU load bottleneck in laser triangulation. The use of frame grabber is therefore necessary to reconstruct these images at the speed required by the system.



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