Weitere Kapitel dieses Buchs durch Wischen aufrufen
A machine vision system with high precision and easy operation was designed to measure the position, height, and verticality of an automobile part which were very difficult by traditional inspection methods. It consisted of two cameras, two lights, and one embedded image processing unit DMV1000. After being carefully calibrated, the system performed well with the maximum distance absolute error of about 0.02 mm and angle absolute error of 0.26°. Combined with server motor system and pneumatic system, all measuring procedures automatically worked after one start button push. In this paper, the hardware and software designs of this system were introduced in detail and the verification test data were discussed which proved the high stability and precision of this equipment.
Bitte loggen Sie sich ein, um Zugang zu diesem Inhalt zu erhalten
Sie möchten Zugang zu diesem Inhalt erhalten? Dann informieren Sie sich jetzt über unsere Produkte:
Hong, T. (2010). The research of computer vision measurement technology based on LabView. In 2010 International Conference on Future Information Technology and Management Engineering, pp. 284–287.
Wan, P., & Long, C. J. (2010). A machine vision determination method of rice milling degree based on gray gradient co-occurrence matri. Grain Storage,39(4), 48–51.
You, F. C., Zhang, L. F., & Zhang, Y. B. (2009). The research of printing’s image defect inspection based on machine vision. In Proceedings of the 2009 IEEE International Conference on Mechatronics and Automation, pp. 2404–2408.
- Application of Machine Vision for Geometric Dimensions Measurement
- Springer Singapore
- Chapter 79