Factory Automation – Using AI to achieve amazing results
An automated factory infrastructure involves the incorporation of automation into the manufacturing process. As a result of this infrastructure, the manufacturing environment is characterized by its ability to produce or assemble goods mainly by machines, integrated assembly lines, sensors and robotic arms.
Challenges in implementing Factory Automation
The main technical obstacle in making your factory automated is controlling the data which is accumulated during the automation process.
What data? Data from machines, sensors ,automated test equipment and other systems.
The only way to gain an effective automated process is when all the data sources are unified and harmonized into a digital town database that “speaks” one language.
Unless it can be automated, unifying and harmonizing all your data sources is a very demanding task.
AI Manufacturing Analytics to any level of automation without any API integration
QualityLine’s AI manufacturing analytics makes it possible for any factory to become digital without installing any hardware, which are very expensive and lengthy processes of existing data integration solutions in the market.
It enables data integration in industries with any level of automation, collecting data from any type of manual testing procedure, which will be analyzed and integrated into manufacturing analytics improving efficiency through a user-friendly platform, and delivers the entire digital factory implementation process with some very important advantages:
- Integration with the existing factory data- No changes are required to existing data structures.
- Data is mapped into one database after harmonizing all factory data
- Providing end-to-end control over any type of data
- Delivers alerts, predictions, root cause analysis and more
The patented AI technology of QualityLine detects any anomalies in quality or yield and suggests what should be corrected at the manufacturing line. As a result of the analytics tools such as alerts, real-time root cause analysis, and others, manufacturing efficiency, quality, and performance of the factory’s automated process are rapidly improved.