Machine VisionLaajuus (3 cr)
Code: KK00BJ26
Credits
3 op
Objective
The student knows how to use the machine vision systems of industrial robotics.
Content
2D and 3D machine vision
Machine vision systems integrated into industrial robots
Materials
Material given by the teacher.
Assessment criteria, approved/failed
Return of learning assignments
Self-assessment
Course feedback
The limit of an approved performance is 70% of the maximum points.
Enrollment
30.12.2024 - 26.01.2025
Timing
28.10.2024 - 15.12.2024
Number of ECTS credits allocated
3 op
Mode of delivery
Contact teaching
Unit
Teknologia
Teaching languages
- Finnish
Degree programmes
- Bachelor’s Degree in Mechanical Engineering
Teachers
- Sami Räsänen
Groups
-
KKT22SRaaheKKT22SRaahe
Objective
The student knows how to use the machine vision systems of industrial robotics.
Content
2D and 3D machine vision
Machine vision systems integrated into industrial robots
Materials
Material given by the teacher.
Evaluation scale
0 - 5
Assessment criteria, approved/failed
Return of learning assignments
Self-assessment
Course feedback
The limit of an approved performance is 70% of the maximum points.
Prerequisites
Robotics
Enrollment
30.12.2024 - 26.01.2025
Timing
21.10.2024 - 15.12.2024
Number of ECTS credits allocated
3 op
Mode of delivery
Contact teaching
Unit
Teknologia
Teaching languages
- Finnish
Degree programmes
- Bachelor’s Degree in Mechanical Engineering
Teachers
- Sami Räsänen
Groups
-
KKT21SKKT21S
Objective
The student knows how to use the machine vision systems of industrial robotics.
Content
2D and 3D machine vision
Machine vision systems integrated into industrial robots
Evaluation scale
0 - 5
Assessment criteria, approved/failed
Return of learning assignments
Self-assessment
Course feedback
The limit of an approved performance is 70% of the maximum points.
Prerequisites
Robotics
Enrollment
30.12.2024 - 26.01.2025
Timing
21.10.2024 - 15.12.2024
Number of ECTS credits allocated
3 op
Mode of delivery
Contact teaching
Unit
Teknologia
Teaching languages
- Finnish
Degree programmes
- Bachelor’s Degree in Mechanical Engineering
Teachers
- Sami Räsänen
Groups
-
KKM21SKKM21S
Objective
The student knows how to use the machine vision systems of industrial robotics.
Content
2D and 3D machine vision
Machine vision systems integrated into industrial robots
Materials
Opettajan osoittama materiaali
Evaluation scale
0 - 5
Assessment criteria, approved/failed
Return of learning assignments
Self-assessment
Course feedback
The limit of an approved performance is 70% of the maximum points.
Prerequisites
Robotics
Enrollment
30.12.2024 - 26.01.2025
Timing
21.10.2024 - 31.12.2024
Number of ECTS credits allocated
3 op
Mode of delivery
Contact teaching
Unit
Teknologia
Teaching languages
- Finnish
Degree programmes
- Bachelor’s Degree in Mechanical Engineering
Teachers
- Sami Räsänen
Groups
-
KKT22SKKT22S
Objective
The student knows how to use the machine vision systems of industrial robotics.
Content
2D and 3D machine vision
Machine vision systems integrated into industrial robots
Materials
Material given by the teacher.
Evaluation scale
0 - 5
Assessment criteria, approved/failed
Return of learning assignments
Self-assessment
Course feedback
The limit of an approved performance is 70% of the maximum points.
Prerequisites
Robotics
Enrollment
02.07.2022 - 16.12.2022
Timing
01.08.2022 - 16.12.2022
Number of ECTS credits allocated
3 op
Mode of delivery
Contact teaching
Unit
Teknologia
Teaching languages
- Finnish
Degree programmes
- Bachelor’s Degree in Mechanical Engineering
Teachers
- Sami Räsänen
Groups
-
KKT20SKKT20S
Objective
The student knows how to use the machine vision systems of industrial robotics.
Content
2D and 3D machine vision
Machine vision systems integrated into industrial robots
Evaluation scale
0 - 5
Assessment criteria, approved/failed
Return of learning assignments
Self-assessment
Course feedback
The limit of an approved performance is 70% of the maximum points.
Prerequisites
Robotics
Enrollment
02.07.2022 - 30.09.2022
Timing
01.08.2022 - 20.12.2022
Number of ECTS credits allocated
3 op
Mode of delivery
Contact teaching
Unit
Teknologia
Teaching languages
- Finnish
Degree programmes
- Bachelor’s Degree in Mechanical Engineering
Teachers
- Sami Räsänen
Groups
-
KKT20SRaaKKT20SRaa
Objective
The student knows how to use the machine vision systems of industrial robotics.
Content
2D and 3D machine vision
Machine vision systems integrated into industrial robots
Evaluation scale
0 - 5
Assessment criteria, approved/failed
Return of learning assignments
Self-assessment
Course feedback
The limit of an approved performance is 70% of the maximum points.
Prerequisites
Robotics
Enrollment
01.01.2022 - 25.05.2022
Timing
01.01.2022 - 31.05.2022
Number of ECTS credits allocated
3 op
Mode of delivery
Contact teaching
Unit
Business
Teaching languages
- Finnish
Teachers
- Sami Räsänen
Groups
-
VAPVAL2022VAPVAL2022
Objective
The student knows how to use the machine vision systems of industrial robotics.
Content
2D and 3D machine vision
Machine vision systems integrated into industrial robots
Evaluation scale
0 - 5
Assessment criteria, approved/failed
Return of learning assignments
Self-assessment
Course feedback
The limit of an approved performance is 70% of the maximum points.
Prerequisites
Robotics