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.
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, [...]
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, [...]
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 [...]
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 [...]
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.
Project summary: PicknPack is a research project granted by the European FP7 program, which during 4 years duration holds a total budget of 11,88 M€ and an European Union contribution of 8,76Millon. It is coordinated by the University of Wageningen in the Netherlands and the consortium is made up of 14 partners from 9 different countries, including TECNALIA Research and Innovation, through its Industry and Transport Div. The project began on November, 2012 to provide the European food industry the benefits of latest flexible production technologies, offering the advantage of reducing costs by increasing safety and hygiene in the packaging of goods, combining the unique ability of adapting to adapt products and lot sizes. In PicknPack, three main modules which work in close cooperation are developed: a sensor module for evaluating product quality, a smart robotic handling module guided by machine vision and an adaptive packaging module. Research activity: The work [...]
Tecnalia Computer Vision has image processing libraries that allow advanced enhancement, colour correction, noise removal, correction of lighting, out of focus correction and fog elimination. This system improves the quality of original images both for their visualization by operators as well as to enable computer vision algorithms.
Every day new biomedical devices are designed to obtain visual information with great relevance in the diagnosis, planification and surgery. These devices can show high quality representative images of the human body. However, this quality is limited by different factors. Among the latter are physical parameters of the acquisition system, such as the sensor’s resolution, its size, the frequency in the optical shutter, diffraction effects in the optical system, sensor sensitivity which make a lesser representation of the real image because of the system’s resolution and quality of the perceived image. In order to increase the resolution, the simplest solution in most situations is to substitute the acquisition device by another with enhanced features. However, this is not possible in certain applications as there is a need to miniaturize, to reduce costs, to limit radiation exposure or due to optical limitations (diffraction). Therefore, other techniques are necessary in order [...]
Doctors manually analyse each image provided by different systems (MRIs, TACs, X-rays). Advanced image processing algorithms can perform these tasks in an automated manner and can help the doctor in the diagnosis or screening processes. These algorithms integrate medical knowledge with anatomical and pathological image-based models. Advanced medical image analysis can assist in a faster and more precise diagnosis which in turn will reduce patient treatment costs. Tecnalia´s Computer Vision Group, in collaboration with the Image Diagnosis Service of Clínica IMQ Zorrotzaurre, has developed algorithms for image enhancement, for organ segmentation and for the characterisation of suspicious areas of the organs in hepatic pathology cases. These algorithms can be adapted for their use in the analysis of any other body organs. The introduction of image processing technologies in medicine is very useful and has great potential.