a stand-off Raman spectrometer has been developed to make observations of liquid samples within a gas pipeline. The instrument is based on a static Fourier Transform spectrometer. The high etendue offered by the instrument enabled four liquid samples to be measured from a distance of 2.4 m within a gas pipeline. Liquids were identified with depths less than 5 mm demonstrating that the concept is viable for active pipeline measurement.

A new transmission Raman spectrometer has been developed using a spatial heterodyne spectrometer (SHS), taking advantage of the high etendue inherent in this class of spectrometer to maximize the light collected from the target. The system has been tested against paracetamol tablet samples. The instrument has been shown to accept light from 0.05 mm up to a 3 mm core diameter fibre bundle with a numerical aperture of 0.22, whilst no degradation in resolution is observed.

Versatile and flexible gas analysis for compositional identification and quantification is a demand found in a variety of diverse sectors. As such, a compact, deployable instrument exhibiting both high specificity and sensitivity is a highly attractive proposition for a wide range of applications. In this paper, we describe a gas phase Raman spectroscopy-based device using state-of-the-art anti-resonant (tubular) hollow core micro-structured optical fibre (HC-MOF).This fibre architecture allows the use of lengths that are typically longer than have been demonstrated previously, allowing substantially enhanced interaction lengths between the pump laser and the gas sample to be achieved, addressing the sensitivity challenges typically observed in gas-phase Raman measurements and enabling application for remote sensing in hazardous environments. We describe the successful development of a compact, fibreintegrated instrument and present results obtained during a test campaign at an industrial laboratory; marking a milestone in gas-phase Raman spectroscopy. The unique properties of the MOF used allowed a 20-m length to be utilised, representing a new record length for gas phase Raman measurements. The identification and quantification of a variety of gas species, ranging from simple homonuclear diatomic gases to heteronuclear organic gas species were achieved, and, building on previous studies, the instruments stability, gas concentration linearity response, and the hollow core fibre filling and purging characteristics were investigated. K E Y W O R D Sfibre-enhanced gas Raman, hollow core anti-resonant tubular fibre, industrial application, multi-species detection

We describe a high-accuracy inspection system designed to automatically detect cracks in "as-cast" steel slabs. Real-time slab inspection requires instrumentation capable of withstanding high temperatures above the steel surface as well as coping with the dirty and dusty environment present in a steel mill. Crack detection is also challenging due to the presence of oxidation scale on the slab surface. A bespoke laser triangulation system has been developed, providing images at 250 fps with a calibrated surface resolution of 97 µm from a 1m standoff distance. Cracks are detected using a combination of morphological detection and SVM classifier. Results are reported from laboratory testing and from extended trials at a production steel mill.

ABSTRACT:Stereo vision and LIDAR continue to dominate standoff 3D measurement techniques in photogrammetry although the two techniques are normally used in competition. Stereo matching algorithms generate dense 3D data, but perform poorly on low-texture image features. LIDAR measurements are accurate, but imaging requires scanning and produces sparse point clouds. Clearly the two techniques are complementary, but recent attempts to improve stereo matching performance on low-texture surfaces using data fusion have focused on the use of time-of-flight cameras, with comparatively little work involving LIDAR.A low-level data fusion method is shown, involving a scanning LIDAR system and a stereo camera pair. By directly imaging the LIDAR laser spot during a scan, unique stereo correspondences are obtained. These correspondences are used to seed a regiongrowing stereo matcher until the whole image is matched. The iterative nature of the acquisition process minimises the number of LIDAR points needed. This method also enables simple calibration of stereo cameras without the need for targets and trivial coregistration between the stereo and LIDAR point clouds. Examples of this data fusion technique are provided for a variety of scenes.