Machine analysis - Import export

SE0S 02 is the best solution for the customers, who need quick analysis, high specifications, safety and fair accuracy of element composition identification results in metal production at minimal purchase, commission and operating of the device costs. Applications: - Industrial analytical laboratories of metallurgical and machine-building factories; - Express analysis of alloys while melting at workshops; - Identification of alloy grade at warehouses; - Research institutes and universities. SEOS 02 identifies the composition of iron alloys (all types of steel and cast iron) and nonferrous alloys on any basis (Al, Cu, Zn, Ni, Ti, Mg, Co, Pb, etc.). CCD allows to analyze the whole range of basic elements used in metallurgy, including S, P, C. SEOS 02 measurement accuracy is in accordance with international regulatory documents. Every SEOS 02 spectrometer passes the state verification procedure as a measuring instrument.

The mobile solution for machinery health monitoring The VIBXPERT II from PRUFTECHNIK is the mobile power package for fast and reliable recording and analysis of machine condition data. After a very short measuring time, the current machine status data is shown on the color display. The maintenance expert can analyze the data on site. From the recorded machine condition data, all values can be read from the various characteristic value modes that are important for an exact machine condition analysis. The device is used directly on site at the machine, from the machine hall to the diesel generator of an oil tanker or from a bucket excavator to a hydroelectric turbine. The robust design enables both fast and complex interventions. Whether in clinically clean systems, or harsh industrial environments. VIBXPERT II sets the standard in mobile machine and plant condition monitoring.

Artificial Intelligence solutions take a great part of our expertise. Our AI team is developing solutions solving the following tasks: - Image and video visual content analysis - Text analysis - Intelligent chatbots and speech recognition solutions - Biometric recognition solutions - Predictive solutions for manufacturing - Intelligent recommendation systems AI stack implemented by our development team: Python: torch, Tensorflow, OpenCV, SQLAlchemy, nltk, sklearn, pandas Objective C, Swift, Kotlin: CoreML, Tensorflow Lite, MLKit IBM Watson, Google AI services When working on machine learning tasks, we follow CRISP-DM methodology. The typical workflow includes the following activities: - Understanding the task (classification, forecasting, etc.) - Data preparation (may require the involvement of domain experts) - Developing and training the model - Evaluating the results and further enhancements

The FPGA-based Mustang-F100 accelerator card from ICP Deutschland is designated for industrial inference systems. It is primarily used for deep learning inference in real time, for video and image processing as well as for the analysis of machine and sensor data. The Mustang-F100 is based on the Intel® Arria® 10 GX1150 FPGA and is equipped with 8GB on-board DDR4 RAM. Due to its parallelism and its high degree of configuration, which is inherent in the FPGA, the Mustang-F100 can handle changing workloads and different floating-points. It also supports a variety of topologies such as AlexNet, ResNet or Yolo Tiny. From classic object recognition to video and image classification to facial recognition or image segmentation, there are virtually no limits to the target application.