Paper
26 January 2016 Research on machine vision system of monitoring injection molding processing
Fan Bai, Huifeng Zheng, Yuebing Wang, Cheng Wang, Si'an Liao
Author Affiliations +
Proceedings Volume 9903, Seventh International Symposium on Precision Mechanical Measurements; 99030R (2016) https://doi.org/10.1117/12.2211310
Event: Seventh International Symposium on Precision Mechanical Measurements, 2015, Xia'men, China
Abstract
With the wide development of injection molding process, the embedded monitoring system based on machine vision has been developed to automatically monitoring abnormality of injection molding processing. First, the construction of hardware system and embedded software system were designed. Then camera calibration was carried on to establish the accurate model of the camera to correct distortion. Next the segmentation algorithm was applied to extract the monitored objects of the injection molding process system. The realization procedure of system included the initialization, process monitoring and product detail detection. Finally the experiment results were analyzed including the detection rate of kinds of the abnormality. The system could realize the multi-zone monitoring and product detail detection of injection molding process with high accuracy and good stability.
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Fan Bai, Huifeng Zheng, Yuebing Wang, Cheng Wang, and Si'an Liao "Research on machine vision system of monitoring injection molding processing", Proc. SPIE 9903, Seventh International Symposium on Precision Mechanical Measurements, 99030R (26 January 2016); https://doi.org/10.1117/12.2211310
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Image processing

Cameras

Embedded systems

Image segmentation

Machine vision

Calibration

Detection and tracking algorithms

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