Abstract
The method of intelligent visual detection system for injection realized online high-speed and high-precision detection on foreign substance in the injection. We have researched on the under and back light-given way to obtain sequential images of the injection, put forward adaptive filtering algorithm aimed at small moving targets of the solution to filter out interference of noise points, adopted statistical method of slipping marginal points of window’s histogram to position image and detection area, studied on a method that combined two-difference and energy accumulation to extract moving targets, and applied principle of Support Vector Machine to identify foreign substances. A series of experiment demonstrate that the intelligent detection system is able to detect effectively foreign substances in the medical liquid. The detection speed, precision and undetected rate could well meet the needs of a pharmaceutical production line.
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Acknowledgements
The work is supported by the National youth fund of China (Grant No. 61603132), the Natural Science Foundation of Hunan Province, China (Grant NO. 2020JJ5170) and the Fund of Hunan Provincial Education Department (Grant NO. 18C0299).
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Zhou, B., Chen, L., Wu, L. (2022). An Intelligent Foreign Substance Inspection Method for Injection Based on Machine Vision. In: Yao, J., Xiao, Y., You, P., Sun, G. (eds) The International Conference on Image, Vision and Intelligent Systems (ICIVIS 2021). Lecture Notes in Electrical Engineering, vol 813. Springer, Singapore. https://doi.org/10.1007/978-981-16-6963-7_69
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DOI: https://doi.org/10.1007/978-981-16-6963-7_69
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