Cigarette Detection,Tracking and Traffic Counting System Based on Brain-like Intelligence Modeling
In this paper,brain-like intelligence technology is used to improve the existing visual product threshold judgment detection method,combined with edge computing,deep learning and big data technology,to develop an intelligent deep neural network-based cigarette branch detection system,and install the detection system in the part of the empty-head lack of detection system,the installation location does not change the original equipment structure,does not affect the operation and maintenance of the equipment,and the results of the study show that the system improves the quality assurance capability of cigarette products.
国家科技期刊平台
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