CHUDOM® Project

Our key experience and competencies are connected with sensor networks, machine learning, cloud technologies, web services and technologies. Although many teams are working in these directions, our developments permit us to find better solutions to some specific issues.  
Sensor Networks. Our modular architecture for network sensor nodes offers the following competitive advantages, while still remaining within average market prices:

• Simultaneous use of different connectivity protocols, such as Ethernet, WiFi, LoWPAN, PLC,                                         Bluetooth 4.0 LE, ZigBee, Z-Wave, in a sensor network and provision of information security                                                       at the appropriate level.

• Connection of third party sensors of various types to the sensor network.

• It is possible to remotely redefine the logic of every sensor node. Every sensor node                                                             may be configured to make a decision locally and respond to different events, which                                                           makes it possible to respond to threats in case of total or partial loss of connectivity.

Machine Learning. Our team has the following developments and experience in the field of machine leaning:

• Technologies and tools for building systems based on artificial neural networks;

• We have gained a successful experience in using artificial neural networks for classifying signals (images, image streams) with various applications (diagnosis of engines based on their noises,                                                                                         identification of disease markers on medical images);

• Identification of system health: "system operates normally/there is an anomaly";                                                             proactive determination of fault probabilities. We also have experience in building                                                               sensor data analysis systems, self-leaning systems and recognizing “behavior templates”                                                   (fault-free or faulty) of complex system nodes or complex systems themselves, specifically,                                               detection of network attacks, proactive determination of failure probabilities in nodes and                                           subsystems of supercomputer clusters, traffic analysis in telecommunication networks.