Konenäkö ja sensoritekniikat (4 cr)
Code: 5031350-3002
General information
- Enrollment
- 08.12.2018 - 06.02.2019
- Registration for the implementation has ended.
- Timing
- 07.01.2019 - 31.05.2019
- Implementation has ended.
- Number of ECTS credits allocated
- 4 cr
- Local portion
- 4 cr
- Mode of delivery
- Contact learning
- Unit
- Engineering and Business
- Teaching languages
- Finnish
- Teachers
- Teppo Mattsson
- Course
- 5031350
Evaluation scale
H-5
Objective
After a completed study unit the student
- knows the requirements of the different subareas of machine vision technology
- understands the role and significance of a camera, optics, and lighting engineering in the design of a machine vision system
- can explain the basics of digital image processing and knows several implementation techniques and examples of production system automation applications
- is familiar with the various identifier and RF tag techniques exploited in production automation, as well the possibilities of using said techniques
- understands the possibilities of exploiting production measurements to monitor the performance of machines and equipment.
Content
- principles of machine vision
- camera techniques and optics
- significance of lighting
- control system connections
- RF tags and radio frequency identification
- production measurements.