Add to favorites
Specializations within this programme
-
Smart technologies and machine learning in computer vision
The module includes courses:
Machine Learning and Deep Learning in Computer Vision
Smart-technologies in digital image processing
Lections cover methods and algorithms for digital image processing, video analytics, panoramic images building, machine learning, video data analysis, human perception based image synthesis. In practical classes, workshops and home tasks students learn to solve problems and develop algorithms in the field of computer vision systems, get programming skills (C++, Python) and use specialized libraries (OpenCV, Keras, TensorFlow, etc.) -
Sensors and video processors for computer vision
The module includes courses:
Modern sensors for machine vision
Development of a video processor based on FPGA
Lections cover computer vision systems engineering principles, image optical features analysis (spectral, energetical, dynamic etc.), image sensors (CMOS, TOF, multispectral, UV, LWIR), data transfer interfaces.
On studying students get practical skills in computer vision systems engineering, namely estimation and calculation of parameters required for system operations, and models engineering in such environments as Matlab, Wolfram Mathematica, Altium Designer, control and processing systems engineering using FPGA (Quartus Prime). -
Computer vision in real applications
The module includes courses:Computer vision in real applications (TV)
The module covers issues of applying the acquired skills and learned methods and algorithms in practice. Typical implementations and specifics for various industries are covered.
Share