Research on recognizing required items based on opencv and machine learning

Research on recognizing required items based on opencv and machine learning

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Starting from the background of the outbreak of New Coronavirus, in order to realize the function of automatically MALE ENERGY identifying the required items by machine, the support vector machine algorithm in the neural network and the traditional computer vision algorithm opencv were used.The software developed by pycharm and python programming language was used to compile automatically a software to identify whether the required items were filled out.And on the basis of completing the software, it is connected to the embedded device high-speed clapper.It is applied to Fuzhou Customs to help Outdoor Fire Pit Table the customs staff review the health form and declaration card of inbound and outbound passengers, which not only saves the time of staff and passengers, but also contributes to the prevention and control of epidemic situation to a certain extent.