SoftSystem srl
ARTIFICIAL INTELLIGENCE
For all cases where the traditional approach is not enough, you have the possibility to use the systems based on the Deep-Learning.
THE inspection systems can be integrated with the artificial intelligence, ensuring greater efficiency, reliability and a considerable increase in productivity compared to a reduction in costs on waste.
The system finds maximum employment in the location of semi-transparent or occlusive objects, recognition of defectiveness on surfaces and reading of codes and alphanumeric characters that are difficult to detect with normal OCR analysis tools.
Through the use of tools of Deep Learning, you can extrapolate various useful information, such as:
•Position of the object;
•Analysis and classification of the defect;
•Character reading.
An example of defect analysis may be the detection of the correct welding in a metal product. Artificial intelligence manages to distinguish the defect of welding in an exact and fast way, even imperceptible to the naked eye.
In particular the Character reading Through artificial intelligence it is useful for those characters printed or engraved on metallic materials, on soft and deformed plastic and given queues or stones printed lots.
The Deep Learning It is used in production practices for quality control and other evaluation applications. Deep learning is a ductile and adaptable artificial intelligence tool which, if presented to increasingly updated data sets, can increase its ability to identify and classify models, increasing the connection between the data. It therefore means that the larger the volume of data entered in a model generated by Deep Learning, the greater the probability that the system creates more precise forecasts. In addition, the development of the model is automatic, i.e. a demanding programming is not required by operators. The technicians SoftSystem propose custom solutions using the Deep Learning, integrating the management software of artificial intelligence to the usual vision systems. The artificial intelligence processing tool is trained thanks to a particular dedicated software, and consecutively integrated into the vision software managed by a PC.
The configuration of the Deep Learning passes from a set of images, which are cataloged according to what you want to highlight from artificial intelligence. Thanks to the use of the Deep Learning A particularly large set of images is not necessary, but it is enough to make the right model learns to make the system work correctly.
For some years, particular smart rooms have been entered on the market, able to guarantee the artificial vision Without any use of external PCs, where it is possible to combine artificial intelligence.
Maintaining the advantages of the solutions managed by a PC, we have, with these particular rooms, reduced spaces and no dimensions inside the electrical panel due to the presence of the PC.
The room feeding provides for a Poe, it is also possible to directly connect the Input/output signals directly to the chamber,
The training categories with these types of systems are the same as those used in the classic systems of Deep Learning.
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