Signature recognition application
- Neural Network
Conversion of Matlab signature recognition application to C# with EmguCV/OpenCV
Our developers have successfully completed the task of converting Matlab signature recognition application to C# (with EmguCV/OpenCV).
The project included transforming of an existing Matlab application into C# language. The deliverable consists of a dll library and user-friendly interface. An important requirement was the ability to use the code and the application stand-alone on machines without Matlab environment .
The original application leveraged a 3rd party C++ library that was missing along with some dependencies in the code. That added complexity to the whole project. Our developers have made a deep analysis of the library using special reverse engineering tools, restored dependencies and built a wrapper for the library on C# language.
Image processing functions were based on both available OpenCV functionality and also written on C# according to existing algorithms.
The final C# software has successfully passed QA on several versions of OS. Results generated by the resulting application and the original one match perfectly.
Virtual try-on tool for makeup products
The system consists of a face detection and segmentation model and an algorithm that allows recoloring objects without losing their original texture.
Workout helper app
Mobile app for the estimation of proper body positions during the workout.
Model for restoring blurred and pixelated faces in a photo.