In this research, we designed and produced a special optical measurement platform for the hole saw caps.

In addition, the development of a measurement system of the hole saw caps requires all measurement subjects to be constructed symmetrically and harmoniously in order to pursue the overall optimization of the hole saw cap measurement data. The size and information of the cover are digitized to facilitate subsequent product analysis and product history and for other purposes. Therefore, the manufacturer hopes that the operation process can be as simple and fast as possible to saw the size data of the hole saw caps. This process requires a lot of manual processing and will take a lot of time. The manufacturer currently uses optical instrument projection and some jigs to measure the size. Hole saw caps (hole saw caps) are currently measured manually, so this paper attempts to develop an optical inspection system for the hole saw back caps, hoping to quickly saw the holes in a convenient way. In recent years, with the analysis of huge amounts of data and the popularization of Industry 4.0 and IoT (Internet of things) devices, various traditional factories have kept up with this wave, hoping to create greater benefits for enterprise, and to achieve data before analysis, one must have the ability to digitize the product. Therefore, the developed hole saw cap detection system is in line with expectations. The results of the proposed methodology are obtained by measuring 10 workpieces of different sizes, and all the errors within a range of 2 pixels (pixel, px) met the detection standards. Then, personal desktop computers calculate the size of the hole saw caps based on the camera screen vision with a Python program. Therefore, the dark box environment made of a light source and the back plate of the hole saw caps material and two cameras are employed to observe the hole saw caps from both above and the side views. However, in fact, when the measurement system is positioned accurately asymmetrically, it will cause a problem in the measurement data. However, a valid measurement value of the hole saw caps must be positioned symmetrically. We have designed a measurement system for the hole saw caps with the computer vision method to measure the dimensions of the hole saw caps. The results allow manufacturers to build a digitalized hole saw cap detection system at a low cost. This paper developed a set of size detection systems with a computer vision method based on the accuracy requirements of the hole saw caps to meet the needs of the accuracy detection machine.