Machine Vision and Sensor TechnologyLaajuus (4 cr)
Code: 5031395
Credits
4 op
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.
Enrollment
01.12.2024 - 13.01.2025
Timing
13.01.2025 - 31.05.2025
Number of ECTS credits allocated
4 op
Mode of delivery
Contact teaching
Campus
Kupittaa Campus
Teaching languages
- Finnish
Degree programmes
- Degree Programme in Mechanical Engineering
Teachers
- Teppo Mattsson
Teacher in charge
Teppo Mattsson
Groups
-
KMMMODTuotantoautomaationUudetMenetelmat
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
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
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
Enrollment
01.12.2022 - 08.01.2023
Timing
07.01.2023 - 31.05.2023
Number of ECTS credits allocated
4 op
Mode of delivery
Contact teaching
Campus
Kupittaa Campus
Teaching languages
- Finnish
Seats
0 - 30
Teachers
- Teppo Mattsson
Teacher in charge
Teppo Mattsson
Groups
-
KMMMODTuotantoautomaationUudetMenetelmat
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
Enrollment
04.12.2021 - 09.01.2022
Timing
10.01.2022 - 29.05.2022
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
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