SoftSystem srl
ARTIFICIAL INTELLIGENCE
For all cases where the traditional approach is insufficient, there is the possibility of using systems based on 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 due to waste.
The system is ideal for locating semi-transparent or occluded objects, recognizing defects on surfaces, and reading codes and alphanumeric characters that are difficult to detect with standard OCR analysis tools.
By using the tools of Deep Learning, it is possible to extrapolate various useful information, such as:
•Object position;
•Defect analysis and classification;
•Character reading.
An example of defect analysis is the detection of proper welding in a metal product. Artificial intelligence can accurately and quickly identify welding defects, even those imperceptible to the naked eye.
In particular the character reading Through artificial intelligence it is useful for those characters printed or engraved on metal materials, on soft and deformed plastics and data codes or batches printed in dots.
The Deep Learning It is used in manufacturing practices for quality control and other evaluation applications. Deep learning is a flexible and adaptable AI tool that, when exposed to increasingly updated data sets, can increase its ability to identify and classify patterns, increasing the connections between data. This means that the larger the volume of data fed into a model generated by the Deep Learning, the greater the likelihood that the system will create more accurate forecasts. Furthermore, model development is automatic, meaning no extensive programming is required by operators. The technicians SoftSystem propose custom solutions using the Deep Learning, integrating artificial intelligence management software with conventional vision systems. The AI processing tool is trained using special dedicated software and then integrated into the vision software, which is managed by a PC.
The configuration of the Deep Learning It passes through a set of images, which are catalogued based on what you want the artificial intelligence to highlight. Thanks to the use of the Deep Learning A particularly large set of images is not necessary, but simply learning the right model is enough for the system to work correctly.
For some years now, special smart cameras have been launched on the market, capable of guaranteeing the artificial vision without any use of external PCs, where it is possible to combine artificial intelligence.
While maintaining the advantages of PC-managed solutions, these particular cameras offer reduced space and no clutter inside the electrical panel due to the presence of the PC.
The chamber power supply includes a PoE, it is also possible to connect input/output signals directly to the camera,
The categories that can be trained with these types of systems are the same as those used in classic systems. Deep Learning.
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