Abstract
WiFi module intelligent grabbing system based on visual guidance is established by taking MV-CH120-10GM industrial camera and Siemens S7-200smartPLC as the hardware basis designated to realize identification and positioning grabbing of WiFi module. Hardware selection and imaging processing is studied based on visual module, and visual identity and positioning algorithm is developed by taking VisionPro9.0 as the platform. Meanwhile, logical judgment on imaging processing result is carried out by using the software Vision Studio C#. Besides, visual windows is used for inspecting image and data display. Through experimental verification, it is ultimately indicated that the visual algorithm features higher identification and positioning accuracy and satisfies the requirements of the grabbing system.
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Ma, S., Wu, J., Jiao, S., Xue, B. (2021). Visual Module R&D of the Intelligent Grabbing System of WIFI Module. In: Sugumaran, V., Xu, Z., Zhou, H. (eds) Application of Intelligent Systems in Multi-modal Information Analytics. MMIA 2020. Advances in Intelligent Systems and Computing, vol 1233. Springer, Cham. https://doi.org/10.1007/978-3-030-51431-0_33
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DOI: https://doi.org/10.1007/978-3-030-51431-0_33
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