Sensors

Camera with polarisation sensor technology

14th March 2019
Alex Lynn
0

It has been announced that Allied Vision is expanding its series of compact, rugged Mako G cameras with a new camera featuring polarisation filter technology. The new Mako G-508B POL camera is equipped with a Polarsens 5.0 Megapixel CMOS sensor from Sony (IMX250MZR). With the new polariser camera Allied Vision offers a cost-effective tool to unveil features not visible with conventional imaging solutions.

The IMX250MZR CMOS sensor incorporates the latest four-directional polarisation filter technology from Sony. The on-chip nanowire polarising layer supports four orientations (zero, 45°, 90°, and 135°) so that each pixel of the sensor captures polarised light in relation to its specific wire-grid axis. Four pixels together build a calculation unit to determine for each pixel the intensity and angle of polarisation.

By using polarised image data, reflections that make the inspection of surfaces difficult can be reduced, contrast can be enhanced in lowlight conditions to detect shapes, and various material properties can be detected, like stress, composition, or surface structure. The Mako G-508B POL enables an eased usability to gather polarisation imaging data, as replacement or manual rotation of polarisation filters is not necessary anymore. It also reduces costs due to a minimised system setup, compared to traditional polarisation imaging methods.

The Mako G is an attractively priced camera in an ultra-compact rugged industrial housing. It's equipped with a GigE Vision-compliant interface technology to enable a reliable connection to your host system and image processing solution.

Basic functionalities, including screw mount RJ45 connector and multiple I/Os, facilitate straightforward system integration. Mako cameras are equipped with CCD and the latest high-quality CMOS sensors to support the realisation of future-oriented applications.

Thanks to Allied Vision’s Vimba Software Development Kit they can be integrated and operated within diverse imaging processing systems very easily.

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