Solutions
Machine learning
Machine learning belongs to the concept of artificial intelligence, but these are different things. Artificial intelligence is the ability of a machine to overwrite its own algorithms, depending on external factors, to perform their own adaptation tasks. Machine learning is system's ability to independently, without user's intervention, to determine the conditions of the circumstances, examples of which in production are alarms, failures, impending downtime or product damage. With the help of machine learning, the system itself evaluates the conditions under which an undesirable outcome has occurred. Therefore, the next time, under similar conditions, the operator will receive an automatic warning to take action even before the unwanted event is triggered. Also, the system itself can...
Artificial intelligence
Artificial intelligence is machine's ability to overwrite its own algorithms depending on external factors in order to adapt to new tasks.
SFN experts have developed artificial intelligence systems for optimizing business processes and production chains. If artificial intelligence topic is relevant to you today - you can contact us here.
Internet of Things
The IoT or the Internet of Things means connecting the device to the network for additional added value. At the same time, we are talking about the Internet of Things Industry (IIoT), where each controller, frequency converter, robot or other device is connected to a network. It becomes not only a data source that allows you to gather huge amounts of data for analysis and machine learning technologies, but also a control tool where artificial intelligence and machine learning systems can independently manage equipment and production. The Internet of Things, the huge amount of sensors and real-time data flow analysis allow you to monitor complex system parameters and anticipate and prevent failures or unplanned downtime. It also creates opportunities for increasing the pace of...
System design
- Deep analysis of the company and its processes;
- Work principles, systems and IT infrastructure analysis.
- New system design in a light of the processes studied;
- Radical business development;
- Integrated systems, in which all parts are fully interconnected;
- Dynamic business growth.
If System Design is relevant to you today, you have questions or need advice - contact us.