Development of algorithms and software for the intellectual analysis of digital images in the field of video surveillance and security: recognition, detection, visualization of objects or panoramas, analysis and image search, etc.
Intelligent analysis of digital images from industrial cameras to improve the accuracy and efficiency of equipment and processes, often used as a component of larger systems and focused on specific application tasks.
We develop systems for collecting, transmitting and analyzing data from transmitters and sensors for integrated control of equipment and processes. As “input devices” of primary information, video cameras, gyro sensors, barometers, sound, temperature, and pressure sensors, etc. are used. “Dark” data are conveyed to a cloud computing service for interpretation and analysis. The result is visualized on the cameraman's workstation in the form of formalized data on the status of key processes.
It is used in production, in the operation of critically important engineering structures (pipelines and gas pipes) in difficult for access conditions, wherever comprehensive monitoring of equipment or processes is required.
Laser scanning is a modern and rapidly developing type of remote sensing, characterized by high accuracy and density of measurements. The software for processing scanning results, i.e., point clouds, should increase productivity; it also has the functions of analyzing three-dimensional spatial information according to specified parameters depending on the customer’s goal.
A system for collecting and processing data on the state of equipment or processes based on mathematical models and algorithms that allow to build predictive analytics based on historical data on the system functioning.
We use a wide range of machine learning algorithms to achieve customer goals: from decision trees to ultra-precise neural networks. We have rich experience in the work on the analysis of the video stream using machine learning algorithms. If you need to implement solutions on embedded platforms, we transfer resource-intensive solutions to platforms with limited computing capacities.
Neurocomputer interfaces are the devices for the exchange of information between the brain and an external device. The technology is based on recording the electrical activity of the brain and converting it into commands for external devices.
Medicine, robotics, games and virtual reality devices, video surveillance, security control systems, IT
The field of neural interfaces development is quite old and, at the same time, relatively young. Such a contradiction is acceptable due to the fact that while the mankind has learned how to relatively stably receive the initial signal yet in the 20th century, the methods for its analysis are actively developing these days.
In contrast to invasive sensors used in the medical bioengineering for direct implanting into the brain, we are developing the line of non-invasive neural interfaces that record the electrical activity of the brain from the head surface; those require accurate algorithms for successful processing of the recorded information.
Our competencies allow us to create devices that record the initial signal, to implement methods for its filtering, pre-processing and analysis.