Quality Control

20 Mar 2018

Infrared image processing library

2019-07-10T13:59:02+02:00Categories: Quality Control|Comments Off on Infrared image processing library

The Land-Tecnalia alliance has has fostered the development of a complete infrared image processing library by Tecnalia that along with the use of Land hardware allows the customisation of the interface, processing and the communication of the results. This library provides powerful software analysis tools that allow the customisation of the solution application, ranging from simple to the most complex algorithms. These developments are being implemented at the ArcelorMittal plant in Sestao and in other important steel manufacturers. The application prospects for this library includes a broad range of industrial clients, far beyond the steel industry.

20 Mar 2018

Surfin´ V2.0: Surface defect detection in the rolling mill process

2019-07-10T14:14:04+02:00Categories: Quality Control|Comments Off on Surfin´ V2.0: Surface defect detection in the rolling mill process

SURFIN’ is a patented system (Pat.10382359.7-2204) for the surface quality control of hot processed steel products (> 1000º C) by means of special lighting technologies, optical filtering, image processing and machine learning systems. This system can detect defects at the early stages in the production process while the manufactured product is still incandescent. The SURFIN system automatically detects and classifies roll marks, cracks and other surface defects in products such as bars, tubes, billets, slabs or beam blanks. Our experience acquired in prior projects together with the advice from users and other experts has led to the improvement of several issues in the 2.0 system. The system has been working for over a year at Aceros Inoxidables Olarra (AIOSA). Since 1955, Aceros Inoxidables Olarra, belonging to the Group Rodaccai, has been manufacturing long stainless steel products with a bar rolling mill process to produce coils. The new 2.0 system [...]

20 Mar 2018

Tharmal imaging process control

2019-07-10T14:16:37+02:00Categories: Photonics, Quality Control|Comments Off on Tharmal imaging process control

Industry needs to have a strict control over the different production process areas in order to guarantee the successful manufacture of a product. The steel industry, mills and any enterprise as a whole that works with high temperature products must know and control the temperatures in each area of its process. The use of handheld pyrometers or disposable temperature probes for occasional measurements is commonplace, with its associated overrun cost. Furthermore, when an average value is needed, these captures are limited to a subset of points of the measured item, therefore generating possible sources of error and inaccuracy. Not only this, but this taking of discrete measurements throughout a process can very well run continuously in time. TECNALIA provides the possibility to design and implement automated process control systems where temperature can be a critical factor both in the production process as well as in the traceability or quality [...]

20 Mar 2018

Online viewing system the lamination line

2019-07-10T14:21:40+02:00Categories: Quality Control|Comments Off on Online viewing system the lamination line

The inherent process speed and other factors (hot material, dirtyness) precludes an adequate process observation in the lamination process. This observation would facilitate the detection of early defects or anomalous elements during the process. A high quality imaging application for visualization with minimum functionality can boost the capabilities for an immediate anomaly in the process. Real time high quality images are obteined both in hot or cold process from different viewpoints depending on the geometry of the product. These images are enhanced and reconstructed for maximum quality. For Hot products, SURFIN visualization technology is used for acquiring and visualizing hot product surface as if it were in cold conditions.If necesary, automated inspection capabilities can be added to the visualization system taking advantage on the SURFIN technology.

20 Mar 2018

Thermal imaging process control

2019-10-25T13:19:59+02:00Categories: Quality Control|Tags: , |0 Comments

Industry needs to have a strict control over the different production process areas in order to guarantee the successful manufacture of a product. The steel industry, mills and any enterprise as a whole that works with high temperature products must know and control the temperatures in each area of its process. The use of handheld pyrometers or disposable temperature probes for occasional measurements is commonplace, with its associated overrun cost. Furthermore, when an average value is needed, these captures are limited to a subset of points of the measured item, therefore generating possible sources of error and inaccuracy. Not only this, but this taking of discrete measurements throughout a process can very well run continuously in time. TECNALIA provides the possibility to design and implement automated process control systems where temperature can be a critical factor both in the production process as well as in the traceability or quality [...]

20 Mar 2018

Hyperspectral image analisys

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

Hyperspectral image analysis combines the characteristics of image processing with spectrography. A hyperspectral image contains greater information than a conventional image even in non-visible wavelengths. This can help to distinguish objects that visually seem identical or to analyse different chromatic variations. Tecnalia has developed algorithms for the classification of materials based on their hyperspectral images. This system can classify different elements based on a learning of simple samples and employing regression algorithms that allow the characterization of the chemical composition of the materials in the images. These algorithms have been used in the classification of materials in several industries, such as: recycling, slag classification, forest classification based on aerial images, the food industry or chromatography and colour characterization, to name a few.

20 Mar 2018

Surfin

2019-10-25T13:20:04+02:00Categories: Quality Control|0 Comments

The SURFIN’ system employs machine vision technology coupled with laser lighting in order to capture the element’s surface and inspects it as if it were cold, even though the inspection takes place at a temperature of over 1,000 degrees. Therefore, in order to detect production errors, the captured images of the object’s total surface are processed and classified based on a software development application based on Artificial Intelligence (SVMs).

30 Oct 2017

MACHINE VISION BASED SYSTEM FOR BUBBLES DETECTION IN GLASS MANUFACTURING PROCESS

2019-10-29T15:54:37+02:00Categories: Quality Control|Tags: , , |0 Comments

VIDRALA manufactures glass bottles of different colors, shapes and diameters. In the manufacturing process, bubbles may appear due mainly to the temperature and oven parameters. If their presence increases over time, it is necessary to modify the oven parameters so that the bottles have the desired quality. The goal of the system is the automatic detection of the presence of bubbles during the production process of the bottles in order to know the trend in its appearance. The system developed is flexible, so that it can be adapted to different diameters and shapes as well as different colors, as well as to the variation of the speed of the production process, up to 250 bottles / min and with a resolution capacity up to 0.1 x 0.1 mm2. Considering that the system has to work 3 shifts in a production environment, it has been robustly designed against for example, [...]

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 [...]

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