DESKTOP DEVELOPMENT
Our team has a wide range of experience in the development of cross-platform high-performance and reliable desktop applications based on OOP principles. The main programming language we use is C++, and we are experienced in linking super-fast C++ applications into the platforms based on other languages, such as Java, C#, Python, and others.
EEG Analyzer Software System
C++/Qt/Cuda/VTK/DSP based software system to analyze EEG signals and optimize current properties to activate certain areas of the human brain.
ECG Analyzer Software System
C++/Qt/DSP/DeepLearning based software system to analyze ECG signals, evaluate vital signs, estimate their statistic parameters, do signal dsp-transforms and filtering, and detect heart abnormalities and related events.
Software System for Capturing and Analyzing Sport Event
C++/OpenCV/CUDA/Deep Learning based software system to track and simulate cameraman actions, provide analytics during sport events.
Synthetic Data Generation Platform for Deep Learning
Unity/c++/c#/OpenCV/Cloud Computing based system to generate synthetic images for instance segmentation algorithms to increase the accuracy and reliability of deep neural networks.
Software for Human Activity Detection
Deep Learning based software system to grab video streams and detect policy violations on certain areas that were pre-annotated and registered in the system.
Software for Text Extraction from Videos
Optical character recognition and text extraction from media.
Software for Automatic License Plate Recognition
Software for automatic license plate recognition based on Computer Vision and Machine Learning techniques.
Intelligent System for Vehicle Ongoing Maintenance
Computer Vision, Machine Learning and Mechanical Engineering based Software System for ongoing automated visual diagnostics and maintenance of vehicles, such as aircraft, ships, trains, rockets, cars, etc.
Application for Motion Detection and Extraction
Deep Learning based software system for motion detection and extraction using dynamically updated background and optical flow.