We use cookies, similar technologies and tracking services

This website uses cookies, similar technologies and tracking services (hereinafter referred to as “Cookies”). We need your consent for Cookies, which not only serve to technically display our website, but also to enable the best possible use of our website and to improve it based on your user behavior, or to present content and marketing aligned with your interests. For these purposes, we cooperate with third-party providers (e.g. Salesforce, LinkedIn, Google, Microsoft, Piwik PRO). Through these partners you can also receive advertisements on other websites.
If you consent, you also accept certain subsequent processing of your personal data (e.g. storage of your IP address in profiles) and that our partners may transfer your data to the United States and, if applicable, to further countries. Such transfer involves the risk that authorities may access the data and that your rights may not be enforceable. Please select which Cookies we may use under ”Settings”. More information, particularly about your rights, e.g. to withdraw consent, is available in our Privacy Policy .


Only technically necessary Cookies

Accept everything

Below, you can activate/deactivate the individual technologies that are used on this website.

Accept All


These Cookies make a website usable by providing basic functions such as page navigation, language settings, Cookie preferences and access to protected areas of the website. Cookies in this category additionally ensure that the website complies with the applicable legal requirements and security standards. Owing to the essential nature of these Cookies, you cannot prevent their use on our website. Details about these Cookies are available under 'More information'.

Functionality and personalization

These Cookies collect information about your habits when using our web pages and help us to enhance your user experience by tailoring the functions and attractiveness of our web pages based on your previous visits, location and browser settings. They also enable access to integrated third-party tools on our website (e.g., Microsoft Azure for single sign-on authentication). This can involve transferring your data to the United States (for information on the risks involved read Clause 1.5 of our Privacy Policy). If you refuse these Cookies, you might not be able to access the full functionality of the website. Details about the tools we use are available under 'More information'.


These Cookies are used to compile basic usage and user statistics based on how our web pages are used (e.g. via Google Tag Manager, Piwik PRO). If you accept these Cookies, you simultaneously consent to your data being processed and transmitted to the United States by services such as Salesforce Pardot (for information on the risks involved read Clause 1.5 of our Privacy Policy). Details about the tools we use are available under 'More information'.

Marketing and social media

These Cookies help third-party sources collect information about how you share content from our website on social media or provide analytical data about your user behavior when you move between social media platforms or between our social media campaigns and our web pages (e.g., LinkedIn Insights). Marketing Cookies from third-party sources also help us measure the effectiveness of our advertising on other websites (e.g. Google Ads, Microsoft Advertising). We use these Cookies to optimize how we deliver our content to you. The third-party sources and social media platforms we use can transfer your data to the United States (for information on the risks involved read Clause 1.5 of our Privacy Policy). If you accept these Cookies, you simultaneously consent to your data being transferred and processed as described above. Details about the tools we use and our social media presence are available under 'More information'.

More information

Save Settings

  • iTAC SMT.Edge

iTAC enables machine learning and AI applications for SMT manufacturing

Centralization and standardization of data and analysis in real time

Montabaur, July 18, 2022 – Data is the basis for increasing efficiency, avoiding errors and creating more added value. SMT manufacturers are faced with the challenge of having to collect and analyze data appropriately in order to exploit such benefits. The MES/MOM specialist iTAC Software AG offers iTAC.SMT.Edge for this purpose. This machine integration platform is used to standardize and centralize data. The subsequent data analysis in real time and further processing is handled by the iTAC.IIoT.Edge software. Machine learning and AI applications, among others, can be implemented on the basis of the combined solutions.

"In SMT production, there are machines and systems from different vendors and of varying vintages that use different communication methods. This makes data transfer and analysis more difficult," explains Peter Bollinger, CEO of iTAC Software AG, adding: "The data must be transferred reliably to higher-level systems. Our iTAC.SMT.Edge and iTAC.IIoT.Edge make it possible to easily collect, link and analyze data from all SMT machines in real time."

Analysis tools such as iTAC.IIoT.Edge combine IIoT data with MES data to form flat data structures and analyze this data in real time. The data packets can also be forwarded to other analysis or ML/AI tools used by the customer.

AI algorithms for monitoring and analysis

By using the two edge solutions as components of iTAC's MOM (Manufacturing Operations Management), numerous use cases for advanced and digitalized SMT manufacturing can be developed. For example, cycle time monitoring: AI algorithms intelligently monitor the cycle time for abnormal device behavior.

"In production, the strive for greater efficiency requires a continuous reduction in cycle times," says Peter Bollinger, and continues: "By actively monitoring times and using AI to detect abnormal plant behavior and alerting in the event of deviations, significant time savings are achieved. This is because response times in the event of problems and, consequently, throughput times are reduced. In addition, targeted, proactive problem solving is possible."

Another use case is the reduction of AOI pseudo errors. AI algorithms minimize the pseudo error rate of automatic test equipment. This is because most SMT lines with AOI have to deal with a high rate of pseudo errors (30 to 80%). With the use of AI, it is possible to distinguish between real defects and false callouts with a high degree of reliability. The need for manual inspection and the associated time and costs are reduced by up to 60%. This results in higher throughput while supporting zero-defect production.

Also, based on the iTAC solution, AI algorithms can calculate the remaining useful life cycle of equipment in favor of predictive maintenance. By monitoring machine condition data, AI algorithms can predict problems or emerging system failures, for example, to enable timely machine maintenance repairs or to estimate remaining useful life cycle.

These are just three of numerous possible scenarios that can be used to achieve efficiency increases, cost savings and digitalization advances in SMT production.