Computer Vision

24 Aug 2020


2020-09-18T14:39:34+02:00Categories: Computer Vision|Tags: , , , |0 Comments

AZTI has developed, and is operating for more than 10 years, videometry systems for monitoring sandy shores and bathing areas, equipped with cameras that capture images from a fixed point of view at known time intervals. The products derived from the treatment of the images obtained and the referencing of this information using photogrammetric techniques provide direct information of great value, for the continuous understanding and monitoring of different processes and uses of the coastline. In this sense, AZTI has developed its own technology called KostaSystem® ( The Marine Technologies group of AZTI has collaborated for years with TECNALIA’s Computer Vision Research Group. Specifically, in the development of advanced image analysis algorithms that KostaSystem cameras collect, such as the “Run-up” and “Rebase” algorithms described in the blog post: “AUTOMATIC INFORMATION ANALYSIS OF COASTAL EMERGENCY INFORMATION BY VIDEOMETRY”. TECNALIA has also developed an Automatic Beach Segmentation and [...]

24 Feb 2020


2020-02-24T18:54:32+02:00Categories: Computer Vision|Tags: , |0 Comments

Sarcoil (Sarralle group)– is developing new ranges of variable width profiling machines with the aim of optimizing the process (lower costs, reduce consumption, reduce rejection etc.) One of the ways that has been detected to optimize the folding process is to obtain measurement data in different stages of the folder process to act directly on the process. However, this action cannot be direct, it is necessary to model the deformation process to be able to act in time and space anticipating the process in the different deformation stages. In addition, it is necessary to obtain measurement data in real time, convert the measurement data obtained into valuable information for the systems and send it where, when and how it is needed (industry 4.0 alignment). With this objective the Perfilan project has been developed that has addressed these main activities: Obtaining 3D data by means of 3D [...]

17 Feb 2020


2020-03-10T17:47:26+02:00Categories: Computer Vision|Tags: , |0 Comments

ENVASES METALÚRGICOS DE ÁLAVA, a family-run designer and manufacturer of sustainable aluminium packaging, has worked alongside TECNALIA for more than 20 years, all the while strengthening their investment in R&D. The two companies have now become technological partners, working together to develop knowledge towards improving and innovating in products and manufacturing processes. COMPLETE POST

27 Jan 2020


2020-02-24T18:55:34+02:00Categories: Computer Vision|Tags: , , |0 Comments

The Computer Vision group has been the winner in the second edition of the “Tecnalia Attitudes” awards in the category “Put yourself in the customer’s shoes”, due to its excellent management of the German customer BASF. The relation between Tecnalia and BASF started in 2013. Thanks to the effort and good work, this collaboration grew into a 4-year agreement signed in 2018, where Tecnalia stopped being a technological supplier and became a technological partner. This award brings to light the successful experience of collaboration of the Computer Vision group with a big multinational company as BASF. This company is one of the biggest chemical companies in the world with 120,000 employees and one of the most important customers of Tecnalia. Tecnalia collaborates with BASF in the development of image recognition tools for Research & Development. Nowadays, in the development of new fungicides, insecticides and herbicides, [...]

25 Oct 2019


2019-12-10T19:05:31+02:00Categories: Computer Vision|Tags: , , |0 Comments

School of AI invited Tecnalia researchers Alfonso Medela and Miguel G. San Emeterio to give a talk on “Deep Learning”. School of AI is a non-profit organization whose goal is to provide on AI all over the world. At the moment they have settled in 400+ cities distributed around 80+ countries which are managed by a group of 800+ people around the world. The newly created Bilbao branch of School of AI invited our organization's researchers to its third event held in Bilbao to share some of their knowledge on Deep Learning. The took place at the facilities of the University of Mondragon at Bilbao. Alfonso and Miguel talked about “What is Deep Learning?”, Artificial Intelligence, Neural Networks, Machine Learning and the impact, current issues and future research lines.

28 Aug 2019


2019-10-25T13:13:39+02:00Categories: Computer Vision|Tags: , , , , |0 Comments

Continuing the work done in 2018 in Nuevo Laredo, Tecnalia researchers have participated in training tasks in several courses offered at the Technological Institute of Saltillo, Mexico. Saltillo is the capital city of the State of Coahuila, located in northern Mexico where the main economic activities are generated by the manufacturing industry, services sector and transport; contributing 3% of national GDP. The government of the State of Coahuila hired Tecnalia to be part of the HUB Coahuila Innovation 4.0, a joint initiative by the Ministry of Economy of the State, the National Chamber of the Transformation Industry Delegation Coahuila Southeast (CANACINTRA) and the Technological Institute Saltillo (ITS). It was created to support the Industry 4.0 revolution in the State of Coahuila, and to be a dynamic agent of the industry through the transfer of knowledge between companies and academia. Within the first phase of this initiative, [...]

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, [...]

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

MEDIADIA (Multiplication of efforts in the Design, Optimisation and Devolpment of Advanced Greenhouses

2019-07-10T13:54:44+02:00Categories: Computer Vision|Comments Off on MEDIADIA (Multiplication of efforts in the Design, Optimisation and Devolpment of Advanced Greenhouses

Our current marketplace is defined by high demands on quality and food safety that are placed by consumers, control agencies, distribution chains and producers. The application of classification and quality control techniques are key as they optimise the production while reducing the number of defective products and standardising the final quality of the product. Machine vision stands out as an applicable technique as it allows for the control of both classification and manipulation of production as well as the final quality of the product. The application of these techniques in the fruit and vegetable sector continues to grow due to new technological innovations that are providing solutions to market needs. These technologies allow the organoleptic characterisation of different foods, as well as its classification and the estimation of advanced parameters such as acidity, ripeness or sweetness.

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