Python - Import export

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Based on the Telit HE910-EUD module, the TER-HX910-EU is a complete Cellular terminal solution for GSM/UMTS applications. The Telit module handles all the GSM/UMTS processing with PYTHON script. The device has ADC and GPIO inputs. UMTS/HSPA+ works with 850/900/2100MHz. Communication is established with modem RS232 and/or Modem USB. The RS232 is a D-Type 9 pin connector. The USB is a type B USB and is a high retention connector. When using the cellular antenna, use the 5 band antenna with 2.5 dB gain. The device has a SIM slot with a push mechanism. On the same side of RS232 interface are the AUX interface and two LED status lights. The AUX interface is a male 6-pole plug connector. Two LED lights, green and red, indicate ON and OFF status. If the modem is turned OFF, the Watchdog option will auto start the modem after each 30 minutes. The TER-HX910-EU hardware components are fully compliant with the EU RoHS and WEE Directives. This device is available for Europe only.

The TER-HN910-EU from Round Solutions offers a complete solution for GSM/UMTS and GPS applications. The TER-HN910-EU is based on the Telit HE910-EUG module. The terminal module has an integrated watchdog feature. The frequency bands for GSM are 850/900/1800/1900 MHz and for UMTS/HSPA+ are 850/900/2100 MHz. Communication can be achieved via RS232 and a USB connector. The RS232 is a D-Type 9 pin female connector. The USB connector is a Type B USB and is a high retention connector. This terminal has two SMA connectors - one for Cellular and the other for GPS antenna. It is advised to use the 5 band antenna with 2.5 dB gain for Cellular and/or the active GPS antenna wit 25-28 dB gain for the GPS SMA connector. The device has IP 40 protection class and the operating temperature is from -20°C to +55°C. The TER-HN910-EU hardware components are fully compliant with the EU RoHS and WEEE Directives. The TER-HN-910-EU is for the European market.

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