Research on Self-calibration Strategy of Workpiece Processing Based on Machine Vision
| Autor: | Yongjin Wang, Wending Wei, Dong Guo, Chunyong Wang, Zhenqi Wang, Runan Ding |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Accuracy and precision
Computer science business.industry Machine vision ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Rejection rate Subpixel rendering Transmission (telecommunications) Calibration Factory (object-oriented programming) Computer vision Artificial intelligence Enhanced Data Rates for GSM Evolution business |
| Zdroj: | 2021 19th International Conference on Optical Communications and Networks (ICOCN). |
| DOI: | 10.1109/icocn53177.2021.9563710 |
| Popis: | Self-calibration processing equipment is studied through measuring the precise size of the workpiece produced in the factory assembly line based on the machine vision measurement technology. Hough circle detection algorithm and subpixel edge algorithm are adopted. After several experiments, the measuring accuracy of the device can reach 0.05mm, which meets the design requirements of measurement accuracy. The self-calibration parameters are sent to the processing equipment through the transmission layer to reduce the rejection rate and improve the enterprise benefits. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|