What we do

11 Jul 2019

ISBI 2019

2019-10-11T11:48:32+02:00Categories: Deep Learning|0 Comments

Last April 8th-11th took place the IEEE International Symposium on Biomedical Imaging (ISBI), a scientific conference dedicated to mathematical, algorithmic, and computational aspects of biological and biomedical imaging, across all scales of observation. The member of piccolo team and Tecnalia Research & Innovation, Alfonso Medela, presented the paper “Few-shot learning in histopathological images: reducing the need of labelled data on biological datasets”. The team has been working on a few-shot approach in parallel with the acquisition of the datasets. To overcome the problem of scarce data in new imaging modalities such as OCT and MPT, few-shot techniques provide a solution to create algorithms out of a small number of images. The results showed that by using the proposed method it is possible to beat classical transfer-learning approach when only few images per class are available. The results encouraged the team to continue working on the same track and as [...]

8 Jul 2019


2019-10-25T13:14:52+02:00Categories: Computer Vision|Tags: , , |0 Comments

The spatial scales (from meters to kilometers) and temporal (hours, days, years) that characterize the coastal dynamics, make that the classical measurement techniques are limited and very expensive, to study the behavior of coastal systems. The inclusion of measurement techniques by means of video images (commonly called coastal videometry), nowadays allows to describe physical processes on a wide range of spatial and temporal scales, something unthinkable until very recently. A coastal videometry system consists in cameras installed on the coast that allow the capture of images and their spatial referencing. The products derived from the image processing give very interesting information for the different activities that are developed in the coastal areas and that depend on the waves, currents and tide (hydrodynamic conditions) as well as the configuration of the beach, dunes, channels and bars (sedimentary elements). But trying to go a step further, based on these tools, [...]

28 Sep 2018

Automated verification solution for the foundry sector

2019-10-25T11:20:04+02:00Categories: Quality Control|Tags: |0 Comments

TECNALIA and the company specializing in the construction of industrial equipment Automatismos Maser have developed an automated solution for the final verification of the parts for the foundry company Betsaide. The development has been carried out with the support of the Basque Industry 4.0 program, aimed at financing intelligence projects in media and production systems and managed by the SPRI Group. The solution consists of a cell composed of two synchronized robotic arms and two camera systems. The first one captures 2D images to identify internal defects and inspect dimensional and mold variation aspects. Meanwhile, the second camera is a structured light 3D system with high processing speed for the control of surface defects, including those of curved surfaces, and aspects related to thickness in flat areas. This new system has allowed Betsaide to win a contract that, according to a note issued by Tecnalia, has given them [...]

8 Aug 2018

Siamese Neural Networks

2019-10-25T11:20:16+02:00Categories: Deep Learning|Tags: , , |1 Comment

Siamese networks were first introduced by Bromley and LeCun [1] in early 1990s to solve signature verification as an image matching problem. A similar Siamese architecture was independently proposed for fingerprint identification by Baldi and Chauvin [2] in 1992.  Later in 2015, Gregory Koch et al. [3] proposed to use Siamese neural networks for one-shot image recognition. Siamese neural networks are designed as two twin networks that are connected by their final layer by means of a distance layer that is trained to predict whether two images belong to the same category or not. The networks that compose the siamese architecture are called twins because all the weights and biases are tied, which means that both networks are symmetric. Symmetry is important as the network should be invariant to switching the input images. Moreover, this characteristic makes the networks much faster to train since the number of [...]

27 Jul 2018

Industrial pick & place applications

2019-10-25T11:26:03+02:00Categories: Quality Control|Tags: , |0 Comments

Industrial pick & place applications automate processes where loading and/or unloading unitary product is needed. This kind of installations usually use robots or articulated arms to manipulate product from one area to another in stacking, box fitting and palletizing work. Both physical product characteristics (shape, deformity degree and adhesiveness) and disposition, as well as transfer velocity and manipulation zone distinctive features establish task complexity. To optimize installation efficiency and reduce cycle time, it is common using line tracking technique to take and unload product from or to a conveyor belt while it is running. This is possible with robots being commanded by an encoder signal.  Another important point is related to grip design. In some cases, it is enough using simple vacuum grips provided with suction pads which allow to grab piece at desirable speed. A more complex option consists on working with grabbing clamps, pneumatic cylinders [...]

24 May 2018

Optical biopsy for the early diagnosis of skin cancer based on images

2019-10-25T11:26:40+02:00Categories: Deep Learning, Photonics|Tags: , , , , , , , |0 Comments

Currently, the analysis of a suspicious skin lesions is done through biopsy, a process than usually takes several weeks until the definitive diagnosis is obtained. This means high personal costs, due to the uncertainty during the wait, and high economical costs to the health system, attributable to the cost of the procedure and consequent visits to the physician. Besides, the incidence of melanoma has nearly doubled in the last 10 years in the Basque Country and is growing at 10% rate per year in Spain. The 23th of May is the World Melanoma day. Tecnalia works in collaboration with the University of the Basque Country, Ibermática and NorayBio on the development of a computer aided diagnosis tool (CAD) for the early diagnosis of melanoma and basal cell carcinoma (BCC) based on images and clinical data. Molecular data related to prognosis is also being studied, as it can help to define [...]

20 Mar 2018

An artifical retina

2019-10-25T13:19:57+02:00Categories: Computer Vision|Comments Off on An artifical retina

The human visual system is the model that has been used to develop an artificial system that mimics the human retina. A system that imitates the processing that takes place in the human eye has been developed based on the modelling of the neurons in the human retina. Within the natural evolution process, the human visual system has specialised in generating multiple information channels from the image captured by the photoreceptors. This way, it analyses moving elements as well as the shapes and the colours of objects that are in its field of vision. This system is especially relevant in the evaluation of the colours present in an image. The model provides better results than standard CIECAM02 on Munsell’ s samples (perceptually uniform space). These developments will help create more advanced and robust segmentation algorithms for their use in numerous applications in machine vision, thus being able to link [...]

20 Mar 2018

Georadar analysis of buried assets

2019-12-04T16:50:45+02:00Categories: Computer Vision|Comments Off on Georadar analysis of buried assets

Georadar prospecting is a pioneering technology in the location of buried structures. At present, most municipalities do not have an updated cartography or a precise location of piping and cabling. This creates a lot of problems when having to intervene, such as risks of gas pipeline explosions, damage to existing infrastructures and prolonged interruption of services. Tecnalia’s Computer Vision Group developed for Wideworld Geographic Services an automated tool that is capable of detecting and identifying buried assets based on the information provided by a georadar. The MUSA software manages the synchronized capture of the georadar signal with its movement and employs image enhancement algorithms for the captured images while at the same time automatically detects and characterizes buried assets based on advanced artificial intelligence algorithms. It also provides a precise location of the asset based on the information that is integrated in its GPS and GIS. To a large [...]

20 Mar 2018

Dimensional control of automotive tubes

2019-07-10T14:46:49+02:00Categories: Quality Control|Comments Off on Dimensional control of automotive tubes

Pipe manufacturing is a complex process where dimensional defects may occur due to several causes that may affect the product´s quality. A machine vision system can be employed to detect those defects before they reach the customer. Tecnalia´s Computer Vision Group has developed a complete machine vision system for Tubos Reunidos which is capable of measuring both sides of the tube after it has been introduced in its point of inspection. It can measure several dimensional parameters such as diameters, wall thickness, concentricity, eccentricity, to name a few, and can verify that these values are within the allowed range for each reference. The system is installed in the cold drawn factory located in LLodio and has been key in guaranteeing the quality of the tubes. This is a portable system which is housed in a sole enclosure which includes the lighting and capture systems as well as the mechanical [...]

20 Mar 2018

Intelligent wood classification

2019-07-10T14:46:10+02:00Categories: Quality Control|Comments Off on Intelligent wood classification

Wood is a living organism. Its quality control and assessment based on visual inspection is a very complex process. Tecnalia Computer Vision in collaboration with the Sustainable Construction Division has developed a system that provides solutions to this problem. The system has been developed to detect different types of defects and features that exist in wood, such as mineral stain, alburnum, stains, buds as well as defects caused by dirtiness in the plant. The system can also evaluate the visual appearance of the wood in accordance with the location and extent of the different problems. Timber is very variable and its assessment by traditional means is very difficult. The problem has been solved by means of algorithms based on perceptual models that not only characterise the different types of defects, but also estimate the perceptual quality of the wood based on the types of defects and its location within [...]

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