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Machine vision and sensor technology (4 cr)

Code: 5031395-3005

General information


Enrollment

01.12.2023 - 08.01.2024

Timing

08.01.2024 - 31.05.2024

Number of ECTS credits allocated

4 op

Mode of delivery

Contact teaching

Campus

Kupittaa Campus

Teaching languages

  • Finnish

Teachers

  • Teppo Mattsson

Teacher in charge

Teppo Mattsson

Groups

  • KMMMODTuotantoautomaationUudetMenetelmat
  • 11.01.2024 10:00 - 13:00, Konenäkö ja sensoritekniikat 5031395-3005
  • 18.01.2024 10:00 - 13:00, Konenäkö ja sensoritekniikat 5031395-3005
  • 25.01.2024 10:00 - 13:00, Konenäkö ja sensoritekniikat 5031395-3005
  • 01.02.2024 10:00 - 13:00, Konenäkö ja sensoritekniikat 5031395-3005
  • 08.02.2024 10:00 - 13:00, Konenäkö ja sensoritekniikat 5031395-3005
  • 15.02.2024 10:00 - 13:00, Konenäkö ja sensoritekniikat 5031395-3005
  • 29.02.2024 10:00 - 13:00, Konenäkö ja sensoritekniikat 5031395-3005
  • 07.03.2024 10:00 - 13:00, Konenäkö ja sensoritekniikat 5031395-3005
  • 14.03.2024 10:00 - 13:00, Konenäkö ja sensoritekniikat 5031395-3005
  • 21.03.2024 10:00 - 13:00, Konenäkö ja sensoritekniikat 5031395-3005
  • 28.03.2024 10:00 - 13:00, Konenäkö ja sensoritekniikat 5031395-3005
  • 04.04.2024 11:15 - 13:00, Konenäkö ja sensoritekniikat 5031395-3005

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.

Content scheduling

Content:
- principles of machine vision
- camera techniques and optics
- significance of lighting
- control system connections
- RF tags and radio frequency identification
- production measurements

Evaluation scale

H-5