Matilda Dahlin och Linnea Johansson presenterar sitt examensarbete

• Program: Production engineering and Biomedical engineering
• Examiner: Björn Johansson, IMS
• Supervisor(s): Hao Wang
• Opponent: Magnus Olander
• When: 2 June, 14:00-15:00
• Where: PPU room 5139a Toleransen
• And if you like – an abstract:

Computer vision systems are becoming increasingly common in industrial applications. One of the areas where they are being used more and more is in quality control, as they can provide both increased efficiency and effectiveness. This thesis aims to develop a computer vision system that can quality control the dimensions of a fetal scalp electrode. The electrode is used to monitor the fetal heart rate during childbirth, by inserting the spiral electrode into the scalp of the fetal. The wrong dimensions can cause the creation of a wound on the baby's head, and thereby potentially cause an infection. This new system is needed because the current manual measuring solution lacks precision and there is a lot of room for human errors to occur, which can affect the measuring results.

Four different parts were conducted, forming a project consisting of knowledge acquisition, concept development, system development and evaluation of the system. These resulted in a prototype performing height measurement and tip angle measurement of the spiral. This is done by binarizing the image by thresholding and then process and evaluate the contour to find important points, shapes and changes in the image. It was also done by creating a fixture that holds the electrode in position and optimizes the external conditions. The evaluation shows that the developed computer vision system performs with higher precision and accuracy compared to the currently used system.