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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.

en
Enrollment

07.02.2026 - 08.03.2026

Timing

09.03.2026 - 29.05.2026

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
  • KKM23S
    KKM23S

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

en
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
  • KKT22S
    KKT22S

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

en
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
  • KKT22SRaahe
    KKT22SRaahe

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

en
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
  • KKT21S
    KKT21S

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

en
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
  • KKM21S
    KKM21S

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

en
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
  • KKT20S
    KKT20S

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

en
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
  • KKT20SRaa
    KKT20SRaa

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

en
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
  • VAPVAL2022
    VAPVAL2022

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