Siirry suoraan sisältöön

Konenäkö ja anturit (5 cr)

Code: TX00BU98-3005

General information


Enrollment

04.05.2020 - 31.08.2020

Timing

24.08.2020 - 31.12.2020

Number of ECTS credits allocated

5 op

Mode of delivery

Contact teaching

Unit

Ajoneuvo- ja konetekniikka

Campus

Eerikinkatu 36

Teaching languages

  • Finnish

Seats

1 - 40

Degree programmes

  • Konetekniikan tutkinto-ohjelma

Teachers

  • Maria Sjöholm

Teacher in charge

Maria Sjöholm

Groups

  • KA18
    Konetekniikka, koneautomaation suuntautuminen

Objective

On completion of the course, the student will be able to apply sensors and measuring equipment in measurements, and will be familiar with various possibilities for data transmission.
The student will know the effects of noise and disruptions in measurements, and be able to prevent them.
The student will be able to shape a digital measurement signal.
The student will be familiar with the possibilities and principles of machine vision. The student will be able to use suitable software to recognize and dimension objects from a picture.
The student will be able to filter a picture for machine vision operations.

Content

1. Sensors and wiring in machine automation applications
2. Use of sensors, equipment and data transmission in practice
3. Digital signal processing
4. Basics of machine vision
5. The components of a machine vision system
6. Filtering of a picture
7. Morphological operations
8. Picture formats.

Evaluation scale

0-5

Assessment criteria, satisfactory (1)

The student knows the sensors used in machine automation and is able to connect and test sensors in an application.
The student is familiar with the most common needs for digital signal processing and is able to set the parameters for signal filtering.
The student knows the components of a machine vision system.
The student understands the principles of filtering a picture.
The student is familiar with the term of morphology and with the most common picture formats.

Assessment criteria, good (3)

The student knows the sensors and their wiring used in machine automation.
The student can choose, connect and commission the necessary sensors for various applications.
The student recognizes the need for signal processing and is able to shape signals according to the needs.
The student can choose the components for a machine vision system.
The student can choose a suitable filtering method for a picture, and use morphologic operations.
The student can change the format of a picture.

Assessment criteria, excellent (5)

The student knows the sensors and measuring equipment, including the wiring, in machine automation applications.
The student can choose the necessary sensors and equipment for a machine automation application and is able to commission them.
The student is able to apply signal processing to measurements.
The student can compare different machine vision systems and select the correct system principle.
The student can optimize the chosen filtering and morphologic operation.
The student can select the optimal picture format for each application.

Assessment criteria, approved/failed

The student knows the sensors used in machine automation and is able to connect and test sensors in an application.
The student is familiar with the most common needs for digital signal processing and is able to set the parameters for signal filtering.
The student knows the components of a machine vision system.
The student understands the principles of filtering a picture.
The student is familiar with the term of morphology and with the most common picture formats.

Qualifications

Basics of automation and measuring systems