Abstract
Abstract. The need of more accurate measurements in different stages of industrial applications, such as designing, producing, installation, and etc., is the main reason of encouraging the industry deputy in using of industrial Photogrammetry (Vision Metrology System). With respect to the main advantages of Photogrammetric methods, such as greater economy, high level of automation, capability of noncontact measurement, more flexibility and high accuracy, a good competition occurred between this method and other industrial traditional methods. With respect to the industries that make objects using a main reference model without having any mathematical model of it, main problem of producers is the evaluation of the production line. This problem will be so complicated when both reference and product object just as a physical object is available and comparison of them will be possible with direct measurement. In such case, producers make fixtures fitting reference with limited accuracy. In practical reports sometimes available precision is not better than millimetres. We used a non-metric high resolution digital camera for this investigation and the case study that studied in this paper is a chassis of automobile. In this research, a stable photogrammetric network designed for measuring the industrial object (Both Reference and Product) and then by using the Bundle Adjustment and Self-Calibration methods, differences between the Reference and Product object achieved. These differences will be useful for the producer to improve the production work flow and bringing more accurate products. Results of this research, demonstrate the high potential of proposed method in industrial fields. Presented results prove high efficiency and reliability of this method using RMSE criteria. Achieved RMSE for this case study is smaller than 200 microns that shows the fact of high capability of implemented approach.
Highlights
Vision metrology Systems (VMS) has demonstrated its capability as a precise measurement technique for 3D object acquisition with lots of applications (Atkinson, 1998; Fraser, 2001; Ganci and Handley, 1989)
With implementing conditions discussed later, a proper strong photogrammetric network created and imaging performed on the objects
Network structure created for produced chassis from top view(a), and side view (b)
Summary
Vision metrology Systems (VMS) has demonstrated its capability as a precise measurement technique for 3D object acquisition with lots of applications (Atkinson, 1998; Fraser, 2001; Ganci and Handley, 1989). In case of this research, a producer uses an automobile chassis as the reference without having mathematical model or precise parameters. Production accuracy is limited to accuracy of making fixtures that usually is not better than millimetres Components produced with these molding techniques, often not have the same shape over time and change during of templates lifetime. Using more precise methods such as VMS that can improve making more accurate templates with obtaining the exact amount of the difference between original parts and produced parts is very useful. In this research we used VMS method for determining differences between reference chassis and produced one (figure1.) due to the quality assessment of product line and improving fixtures for making more accurate products. A nonemetric digital camera and a proper network are used for collecting information from objects
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