CCS Computational Imaging

Machine vision illumination solutions for multi-shot imaging

Computational Imaging (CI) refers to digital image capture and processing techniques that combine computation and optical encoding. Relying on data extracted and computed from a series of input images captured under different lighting or optical conditions, CI can improve the capability of a camera or introduce new features not previously possible.

By creating an output image focused on the image properties most important to a particular machine vision task, CI offers powerful advantages over traditional one-shot imaging.

Unlike traditional image acquisition, which often requires substantial post-capture image processing, CI – with its targeted feature extraction – directly outputs the image you need, allowing for more robust MV solutions. Better or previously impossible images for machine vision systems can be created in a cost effective way.

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Photometric stereo (PMS)

Generate edge and texture images using shape from shading.

High dynamic range imaging (HDR)

Create images with higher contrast ratios.

Ultra-resolution colour (URC)

Create higher resolution colour images with no interpolation artefacts.

Extended depth of field (EDOF)

Improve measurements without losing light or reducing magnification.

Bright field/dark field

Combine the advantages of two well-known lighting techniques.

Multi-spectral imaging

Enhance images with maximum contrast from multiple spectral bands.

360° object capture

Panoramic imaging with singly triggered, multiple scene acquisition.

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Model	Lighting technique	Lighting geometry	Light distribution	Beam angle
CCS HPR2-100RD-DV04-M12-5	frontlight	ring light	diffused	not specified
CCS HPR2-100SW-DV04-M12-5	frontlight	ring light	diffused	not specified
CCS HPR2-150RD-DV04-M12-5
CCS HPR2-150SW-DV04-M12-5
CCS HPR2-200SW-DV04-M12-5
CCS HPR2-250SW-DV04-M12-5
CCS HPR2-50RD-DV04-M12-5
CCS HPR2-50SW-DV04-M12-5
CCS HPR2-75RD-DV04-M12-5
CCS HPR2-75SW-DV04-M12-5
CCS LSS-2404-CI