Vision Systems

Major: Automation and Computer-integrated Technologies
Code of subject: 6.151.04.E.88
Credits: 3.00
Department: Automation and Computer-Integrated Technologies
Lecturer: Kril Oleksandr Vasylovych, Senior lecturer
Semester: 6 семестр
Mode of study: денна
Learning outcomes: - knowledge of the principles of construction of sensors and cameras of machine vision systems, methods of image analysis, principles of image processing and methods of forming the connection of technical vision systems with other automation systems; - ability to determine the necessary tasks for systems of technical vision, to make the choice of the necessary sensors and cameras; - be able to program or configure sensors for technical systems with further integration into a common automation system.
Required prior and related subjects: Prerequisites: Computer Technology and Programming, Part 1, 2. Electronics and Circuit Engineering Data Bases for Automation Systems. Systems and Networks for Data Communication Technological Measurements and Devices. Digital Processing of Signals and Images. Sensors and Actuators. Microprocessor and Programmable Automation Devices.
Summary of the subject: Review of development and principles of design of machine vision systems. Classification of sensors in systems of technical vision. Overview of the main tasks of technical vision. The basics of image processing in industrial video systems. The main technical indicators of the machine vision and the criteria for their selection. Configuring and programming sensors for technical vision. Implementation of communication interfaces with different control systems.
Assessment methods and criteria: - written reports on laboratory works, oral questioning (50%); - final control (control measure - exam): written and oral form (50%).
Recommended books: https://www.ifm.com/ua/ru/shared/technologies/vision-sensoren/ https://www.sick.com/ag/en/vision/2d-vision/c/g114859 https://www.festo.com/cat/ru-uk_ua/products_SBPB http://www.ste.ru/siemens/pdf/rus/MachineVisionArticle.pdf