Study Guide

Objective

After completing the course the student will;
- Know the different machine vision technologies and knows where they are usually applied in industry
- Know the key components and their functions in the machine vision system
- Be able to use a machine vision software to create basic level image analysis and extract features from the image

Content

The basic principles of the machine vision, applications of the machine vision, typical components of the machine vision system, machine vision software, defining a machine vision system. The basic functions of the Cognex In-Sight EasyBuilder machine vision software. Basics of the machine vision laboratory equipment.

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

The student knows the basics of the course contents.The student knows the principle of machine vision and knows where it can be applied.

Assessment criteria, good (3)

The student knows well the course contents.The student knows the principle of machine vision and knows where it can be applied. The student is able to use programs related to machine vision.

Assessment criteria, excellent (5)

The student knows excellent the course contents.The student knows the principle of machine vision and knows where it can be applied. The student is able to use programs related to machine vision. The student is able to design and implement vision-based applications that implement separation of parts and materials or quality control.

Further information

The issues of automation technology are internationally similar.