R&D GROUP 6.1 "ENVIRONMENTAL MONITORING SYSTEMS AND FACILITIES IN LIFE SAFETY MANAGEMENT"

• Development and implementation of neural networks for diagnosing and predicting outcomes of medical interventions.
• Utilizing visualization technologies, including optical coherence tomography, to enhance diagnostic capabilities.

• Development of intelligent systems for automatic defect detection and quality control across various industries.
• Integration of machine learning algorithms for continuous comparison of products with reference samples and identification of inconsistencies.

• Creating 3D-models based on computed tomography data.
• Application of models for both medical and engineering purposes.

• Optimization of biomechanical movement parameters.
• Enhancement of professional skills for operators in human-machine interface systems.

• Development of technologies for assessing human condition to ensure optimal productivity.

• Development of methods to protect against aggressive media environments.

PRODUCTS

• Integrated solutions for automated quality monitoring in industrial processes.

• Software products for medical image analysis aimed at improving diagnostic accuracy.

SERVICES

• Creation of neural networks for diagnostic systems, condition monitoring, and predictive treatment outcomes in the medical field.

• Solutions for automating quality control in production processes, including integrating AI-based defect detection systems for the printing and other industries.

• Providing services for creating and analyzing 3D-models for medical and technical applications.

• Conducting functional testing and usability analysis of information systems.

• Methods for evaluating and selecting personnel based on psychophysiological indicators.

CURRENT PROJECTS

• Development and training of a neural network to assess patient satisfaction with surgical outcomes in aphakia correction based on optical coherence tomography data of the fundus.

• Development of a neural network for diagnosing and monitoring endocrine ophthalmopathy, improving diagnostic accuracy and speed.

• Creation of an AI-based system for quality control in print production, ensuring automatic defect detection and notification.