visión artificial

6 Oct 2016

Convolutional neural networks make Tecnalia’s SURFIN Hot surface inspection® system evolve to assure automatic quality control

2019-10-25T13:20:14+02:00Categories: Deep Learning, Quality Control|Tags: , , , , , , , |0 Comments

Tecnalia has presented the new version of its SURFIN Hot surface inspection® system at the First European Machine Vision Forum of the European Machine Vision Association (EMVA). SURFIN performs in-line real-time detection and classification of surface defects (e.g. roll marks, cracks, etc.) from the manufacturing process of metallic products such as bars, tubes, billets, slabs, beam blanks or structural profiles. The systems are installed in the production line. It can detect defects at the early stages in the production process, when the product is still incandescent (>1000ºC). This allows preventing the unnecessary addition of value to it and having traceability of all the production, allowing a preemptive maintenance due to the information it obtains. The system is based on special 2D imaging with laser or LED-based imaging, and makes use of machine learning techniques. SURFIN has been upgraded by replacing the previous detection and classification module –supported by opaque handcrafted [...]

10 Jun 2015

Pickable: New 2D cable robot developed by TECNALIA

2019-10-25T13:20:17+02:00Categories: Computer Vision|Tags: , , , , |0 Comments

The project ‘Robotics and flexible automation of food product packaging’ known as ‘PicknPack’ is a project of 4 years duration which holds a total budget of EUR 11,88Millon 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 from the Division of Industry and Transport. PicknPack began on November, 2012 to provide the European food industry the benefits of flexible production, offering the advantage of reducing costs by increasing safety and hygiene in the packaging of its products by combining the unique ability to adapt to each product and lot size. In PicknPack 3 main modules that work in close cooperation are developed: a sensor module for evaluating the quality of the product, a robotic handling module guided by machine vision and an adaptive packaging [...]

8 Jan 2013

History of Machine Vision 1: Control of electrochemical cells in the early 90s.

2019-10-25T13:20:31+02:00Categories: Computer Vision|Tags: , , , |0 Comments

Although it seems that little time has passed, after 25 years, there have been considerable changes in the way and means of developing machine vision applications, the target of the applications and its problems. We will use a quality control application of negative electric accumulators (storage batteries) that we developed for Cegasa (Portable Energy) in 1994 for its Oñati factory as an example to illustrate it. The application This project had to control the distribution of the anode in the container of the batteries and automatically establish their horizontalness, the fill up level and check the absence of extra mass in the negative terminal, as all these issues could lead to short circuits with the insulation and the cathode