The Development Of Object Measuring System Using Image Processing Technique

Seah, Mei Yin (2018) The Development Of Object Measuring System Using Image Processing Technique. Project Report. UTeM, Melaka. (Submitted)

	Text (24 Pages) The Development Of Object Measuring System Using Image Processing Technique - Seah Mei Yin - 24 Pages.pdf - Submitted Version Download (487kB)
Preview	Text (Full text) The development of object measuring system using image processing technique.pdf - Submitted Version Download (4MB) | Preview

Abstract

Measuring system has been used in agriculture, apparel, medicine, anthropometry and construction since the born of the manual measurement. It requires high quality of accuracy to reduce the error of unfit in the finish product. However, manual measurement is not very practical because it has been proved to be time consuming, lack of accuracy and it requires good eyesight. Due to the drive of the high demand in accuracy and shorter time in the automation era, a larger and deeper research in improving measuring data has been done. Manual measurement slowly replaced by a new method of measuring system, which is known as vision measurement. In this current automation era, anthropometric data also becomes critical in the daily lifestyle of human beings. This is because its usage has been widened from the military used, apparel industry to electronic device such as smartphone. Therefore, the main objective of this project is to develop a vision measurement system to measure hand palm. A combination of hardware and software system will fully automate in getting the measurement data to replace manual measurement. Hardware system includes a camera, a mother board and a laptop while software system refers to the programming developing system. Normally, the coding for the well-developed vision measurement system will not reveal. Hence, open source Python is used as the programming language for this project to demonstrate the automation in measurement. Finally, data collection for both methods is done and the successful rate for vison and manual are 80% and 100% respectively. Comparison in terms of time consumption proved that vison method is faster than manual method. Lastly, analyzed and compared these two type of measuring system concluded that vision method can replace manual method because only data subject number eight has error. An improvement and further analysis in future can minimise and eliminate this problem. Therefore, this project is expected to introduce an automatic way using vision measurement to replace manual measurement to get anthropometric data.

Actions (login required)

View Item