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.
Data analytics enables the examination of large amounts of heterogeneous data in order to discern patterns and gain insights that inform decision-making.
The ISSDP Laboratory is engaged in the development of systems for the collection and processing of large amounts of data, with a view to solving problems that are not amenable to conventional solutions. The projects utilize data from a range of heterogeneous sources, including digital images, laser scanning point clouds, sensor data, and audio data, among others. The methods of intelligent image analysis, machine learning, predictive analytics, mathematical modeling, etc. are applied to work with them.
Data analysis technologies used:
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.
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.
A vehicle that is entirely autonomous and operated driverless using various sensors (cameras, lidars, radars, etc.) and computer algorithms.
For the Laboratory staff, intelligent control systems for unmanned transport represent an area of interest, combining modern technologies for the acquisition, processing, and transmission of data from a range of sensors in conjunction with simulation modeling methods.
The Laboratory employs an interactive model of an autonomous vehicle to facilitate the instruction of technologies for the development of unmanned vehicles at the ADAS 4 level. The model illustrates the functionality of all principal components and systems employed in the construction of operational autonomous vehicles. A training course has been developed based on the aforementioned hardware and software platform.
Through engagement with the training material, learners will not only gain a comprehensive understanding of unmanned vehicle control but will also be able to contextualize current technological trends in the field of information acquisition, processing, analysis, and transmission. As a result, they will be equipped with the knowledge and skills to develop innovative information systems of a different kind.
Building Information Modeling (BIM) is a comprehensive digital representation of a building, created through the collection and complex processing of a multitude of data types, including architectural, design, technological, economic, and other information. It encompasses the interconnections and dependencies inherent to a building, as well as a set of measures designed to facilitate the management of the building's life cycle.
The Laboratory solves non-standard BIM tasks for clients.
The development of digital design methods entails the creation of novel software tools for current projects, such as software for the processing of extensive volumes of laser scanning and photogrammetry data. Additionally, new methods are devised, including the superimposition of a perfect and realistic building model for the monitoring of construction progress. In certain instances, software is developed based on these methods, for instance, for the automation of design processes and the preparation of design and working documentation.
Geoinformation systems (GIS) processes, analyzes, and visualizes data that is spatially coordinated in order to enhance the efficiency of management processes, data storage and presentation, and data processing and analysis for the purpose of decision-making support.
