Browsing by Keyword "Machine vision"
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Item Localización e identifificación de activos soterrados mediante georadar y procesamiento de imagen(2011-08) Bereciartua-Pérez, Arantza; Picón-Ruiz, Artzai; COMPUTER_VISIONThere is a growing industrial interest, covering from the sector of Engineering to the Environmental Management, among others, in the location of assets and anomalies in the subsoil in an efficient way and with a reduced error rate. It is aimed to increase the security and precision in the inspection of the subsoil by means of non-invasive and fast methods that could replace more traditional methods of direct digging. Nowadays, there is a wide range of sensors that can be used. One of them is the georadar, Ground Penetrating Radar, from now on GPR, used in many different disciplines such as archaeology, hydrology, forensics, engineering and civil engineering, among others. The geophysical prospection with GPR is a technology capable of solving the problem inherent to the knowledge of the subsoil. It allows characterising perfectly the subsoil and the structures inside, in an efficient and accurate way, with a minimum impact. As long as the technology goes forward, in many aspects of our life, it is possible to accomplish several tasks in a fast, efficient and automated way. Image processing has consolidated as a reliable technology installed in a wide number of applications for different problems. The high accuracy and resolution of the actual cameras, as long as with the fast communication protocols and the services of the computers make possible to solve difficult problems, usually hand-crafted in the near past. In this article, we present an image processing application whose aim is to locate and identify the buried assets that can be found in a subsoil survey. Therefore, image processing techniques are applied to interpret the electromagnetic signals coming from georadar. First, the problem to be solved is shown, and some of the approaches to the problem are enumerated, which have been tackled during last years. Next, the proposed solution is thoroughly detailed together with their constituting elements, also the obtained results and the conclusions extracted from this work are exposed.Item Reciclaje de chatarra electrónica: Nuevo algoritmo para su clasificación por imágenes hiperespectrales(2010-03) Picón-Ruiz, Artzai; Echazarra-Huguet, Jone; Bereciartua-Pérez, Arantza; COMPUTER_VISIONWaste Electrical and Electronic Equipment (WEEE) constitutes 4% of the municipal waste in Europe, being increased by 16 28% every five years. Nowadays, Europe produces 6.5 million tonnes of WEEE per year and currently 90% goes to landfill. WEEE waste is growing 3 times faster than municipal waste and this figure is expected to be increased up to 12 million tones by 2015. Applying a new technology to separate non-ferrous metal Waste from WEEE is the aim of this paper, by identifing multi-and hyper-spectral materials and inserting them in a recycling plant. This technology will overcome the shortcomings posed by current methods, which are unable to separate valuable materials very similar in colour, size or shape. For this reason, it is necessary to develop new algorithms able to distinguish among these materials and to face the timing requirements.Item La Visión artificial en el control de calidad Desarrollo de un escáner láser tridimensional rotative(2009-12) Picón-Ruíz, Artzai; Bereciartua-Pérez, M. Aránzazu; Gutiérrez-Olabarría, José Ángel; Pérez-Larrazabal, José; COMPUTER_VISION; Tecnalia Research & InnovationQuality control of manufactured products is more and more demanding everyday. Machine vision devices are becoming one of the most efficient technologies for a reliable, flexible and fast control of different types of products. In this work, we present the design and the implementation of a novel 3D rotative scanner as well as its implementation in a production line through a robotic cell, allowing cent per cent product online inspection without increasing the production cycle time.