Abstract
With the popularization of computer technology, the transformation of business models has gradually become one of the main influencing products of computer technology development. The emergence of the “new retail” model means that the traditional retail model has become less and less suitable for the current commercial market. This paper combines the current cutting-edge methods of deep learning in the field of computer vision to optimize the traditional retail model and propose a new retail model. This model can effectively solve the problem of poor human resources in the traditional retail model. Moreover, the new retail model can apply relevant technologies such as MCNN to count relevant important business indexes such as population density, and can also be used for security inspection and intelligent queuing.
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