Mr. Alberto Dall'Ava Profile

Alberto Dall'Ava

at DV srl

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Proceedings Article | 3 May 2013 Paper

A new hyperspectral imaging based device for quality control in plastic recycling

S. Serranti, G. Bonifazi, A. Dall'Ava, M. D'Agostini, F. Turioni

Proceedings Volume 8774, 87741M (2013) https://doi.org/10.1117/12.2014909

KEYWORDS: Sensors, Hyperspectral imaging, Control systems, Data acquisition, Data modeling, Spectroscopy, Image processing, Image classification, Algorithm development, Mathematical modeling

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The quality control of contamination level in the recycled plastics stream has been identified as an important key factor for increasing the value of the recycled material by both plastic recycling and compounder industries. Existing quality control methods for the detection of both plastics and non-plastics contaminants in the plastic waste streams at different stages of the industrial process (e.g. feed, intermediate and final products) are currently based on the manual collection from the stream of a sample and on the subsequent off-line laboratory analyses. The results of such analyses are usually available after some hours, or sometimes even some days, after the material has been processed. The laboratory analyses are time-consuming and expensive (both in terms of equipment cost and their maintenance and of labour cost).Therefore, a fast on-line assessment to monitor the plastic waste feed streams and to characterize the composition of the different plastic products, is fundamental to increase the value of secondary plastics. The paper is finalized to describe and evaluate the development of an HSI-based device and of the related software architectures and processing algorithms for quality assessment of plastics in recycling plants, with particular reference to polyolefins (PO). NIR-HSI sensing devices coupled with multivariate data analysis methods was demonstrated as an objective, rapid and non-destructive technique that can be used for on-line quality and process control in the recycling process of POs. In particular, the adoption of the previous mentioned HD&SW integrated architectures can provide a solution to one of the major problems of the recycling industry, which is the lack of an accurate quality certification of materials obtained by recycling processes. These results could therefore assist in developing strategies to certify the composition of recycled PO products.

Proceedings Article | 1 April 1998 Paper

Direct sight imaging spectrograph: a unique add-in component brings spectral imaging to industrial applications

Alberto Dall'Ava, Timo Hyvarinen, Esko Herrala

Proceedings Volume 3302, (1998) https://doi.org/10.1117/12.304581

KEYWORDS: Spectrographs, Cameras, Imaging systems, Imaging spectroscopy, Calibration, Spectral resolution, Reflectivity, Sensors, Near infrared, RGB color model

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Imaging spectrometry has mainly been a research tool, employing laboratory spectrographs and scientific cameras. This paper describes an add-on imaging spectrography that provides a unique combination of high quality image in a small, rugged, industrial, easy-to-use component. The spectrograph is based on a prism/grating/prism dispersing element which provides straight optical axis, astigmatism free image and polarization independent throughput. A volume holographic transmission grating is used for high efficiency. The tubular optomechanical construction of the spectrography is stable and small, D30 X L110 mm with F/2.8 numerical aperture and 2/3 inch image size. Equipped with C-mounts, the spectrography plugs between lens and area camera, converting the camera to a spectral line imaging system. The spectrograph allows the utilization of rapidly developing monochrome camera techniques, like high speed digital cameras, smart cameras and CMOS sensors, in color and spectral analytical applications. It is the first component available for upgrading existing industrial monochrome vision systems with color/spectral capability without the need to change the basic platform hardware and software. The spectrograph brings the accuracy of spectral colorimetry to industrial vision and overcomes the complex calibration that is needed when an RGB color camera is applied to colorimetric applications. Other applications include NIR imaging, spectral microscopy, multichannel fiberoptics spectroscopy and remote sensing.

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