FEATURE

Strides made in polarisation sensors

Harald Neubauer, Jürgen Ernst and Dr Michael Schöberl at Fraunhofer IIS describe the team’s prototype polarisation camera, which was presented at Image Sensors Europe in London in March

Caption: Example of a carbon fibre fabric in false colour representation. The colour shows the orientation of the fibres of the uppermost layer

In the last ten years, the market for industrial image processing has more than doubled; new imaging modalities, such as polarisation, are becoming increasingly important. The Fraunhofer Institute for Integrated Circuits IIS has developed its Polka sensor, camera hardware, and operating and analysis software for imaging polarised light. The camera is available as a prototype and is currently being used in industrial in-line inspection.

Polarisation is a dimension of light that humans cannot perceive. However, it is a fundamental property of light used in many ways by animals – mosquitoes find water to lay eggs thanks to the polarisation properties of light reflected from the water’s surface, for example.

Detecting and measuring polarisation is usually done with filters. In order to detect the degree of linear polarisation (DOLP) and the angle of maximum polarisation (AOMP), in addition to the intensity of light, several measurements need to be made with different filter orientations and combined. This is possible using a rotating polarisation filter taking sequential images, although the technique is limited to capturing stationary objects. Similarly, as with colour cameras, a polarisation pattern – for example, with four polarisation orientations – can be used. A filter glued to the sensor can achieve this in principle but, with small pixels, the distance between the filter surface and the pixel is noticeable as optical crosstalk.

A team at Fraunhofer IIS in Erlangen, Germany has developed an image sensor integrating the polarisation filters in chip production. The filters are therefore perfectly aligned and have minimal spacing in front of the pixel, all without extra processing steps [1]. This image sensor, which is unique today, has been built into an industrial camera – available as a prototype – making it possible to record the polarisation properties of light in a single image.

Various industrial processes and test systems can use polarisation directly. In glass production, for instance, the stress birefringence – which can be detected using polarised light – gives a measure of stress in the glass from improper cooling. Normal drinking glasses, container glass, as well as flat glass, construction glass and special glasses are relevant test objects. The birefringence is also present in plastics and polarisation can be used to analyse defects formed during injection moulding. When fabricating carbon fibre composites, the polarising effect of the fibres can give the orientation. This is relevant for the stability of the manufactured part. Polarisation information can also distinguish between natural and artificial objects in autonomous driving.

A major challenge of this new imaging modality is that humans cannot see polarisation directly, so analysis is necessary to find out whether polarisation adds value to a machine vision solution. For this reason Fraunhofer IIS has set up a polarisation laboratory, which offers sample evaluation and application development.

Reference

[1] Jürgen Ernst, Stephan Junger, Harald Neubauer, Vladimir Tschekalinskij, Nanko Verwaal, Norbert Weber, ‘Nanostructured optical filters in CMOS for multispectral, polarisation and image sensors’, Microelectronic Systems. Berlin Heidelberg: Springer, pp. 9-17, 2011.

Company: 
Feature

Cliff Cheng, senior director of automotive marketing at OmniVision Technologies, details its latest global shutter sensor for industrial and automotive imaging

Feature

Harald Neubauer, Jürgen Ernst and Dr Michael Schöberl at Fraunhofer IIS describe the team’s prototype polarisation camera, which was presented at Image Sensors Europe in London in March

Feature

Albert Theuwissen, founder of Harvest Imaging, outlines a project to classify performance characteristics of CMOS image sensors

Feature

Matthew Dale explores how online supermarket Ocado is using 3D vision to automate its warehouses

Feature

Sebastien Frasse-Sombet, product line manager at Sofradir, on new, more affordable SWIR detectors

Feature

Andrew Williams explores the latest imaging technologies for traffic monitoring, including how AI could be used to make sense of all that data

Feature

Chinese automation from Anne Wendel, director of VDMA Machine Vision; Paul Wilson talks about self-driving delivery robots at the UKIVA Machine Vision Conference; and Thomas Lübkemeier updates on the EMVA's events calendar

Feature

After presenting at Image Sensors Europe in London, Dr Piet De Moor, senior business development manager, imagers at Imec, discusses a multispectral time delay and integration image sensor based on CCD-in-CMOS technology

Feature

Michael DeLuca, industrial solutions division of On Semiconductor, on the image sensor technology needs for machine vision

Feature

Greg Blackman looks at novel imaging devices based on quantum science, and finds that the technology is closer to commercialisation than first expected