TQC has been at the forefront of Internet of Things (IoT) innovation and IoT integrated testing, incorporating IoT aspects into its machines long before the rise of Industry 4.0. This commitment to innovation is evident in the MALT (Multi-Application Leak Tester), TQC‘s flagship IoT device. First developed in 2008 as a compact, cost-effective solution for over-pressure and vacuum leak testing in small volumes, the MALT has since evolved to accommodate larger volume parts. This reflects TQC‘s commitment to adaptability and innovation, ensuring that its products meet the evolving needs of its customers.
TQC’s edge on IoT Integrated Testing
TQC‘s team of experts, with diverse backgrounds in both industry and academia, has a comprehensive understanding of contemporary IoT trends. They are well-versed in areas such as integration, data-driven decision-making, and advanced technologies like ML/AI and cloud computing. TQC has also invested heavily in collaborative research efforts with academic and industrial partners, such as the DiManD (Digital Manufacturing and Design) project. This collaboration has enabled TQC to further enhance the intelligence of its equipment and better serve the dynamic needs of its customers.
How we can help you with IoT Integrated Testing
TQC offers a range of IoT services to meet the diverse needs of its customers. These services include:
- Customized IoT integration designs
- IoT data-driven ecosystem on shop-floor
- ETL stack for data visualizations
With its commitment to innovation, deep expertise in IoT technology, and focus on customer-centric service, TQC is well-positioned to be a leading provider of IoT testing solutions for Industry 4.0.
Further pages on IoT
- IoT Integrated Testing Solutions for Industry 4.0
- Streamlining Operations with TQC’s IoT Data-Driven Ecosystem
- Streamlining Data Visualization with ETL Stacks
- Revolutionizing Quality Control with Cloud-based Decision-making
- Ushering in a New Era of Intelligent Manufacturing with AI & Smart Dashboards
- Mastering LIN Communication for Automotive Applications
