|In recent years, technology applied to daily life has become more and more common due to the development of information technology and hardware. For example, the recognition of biological characteristics, like fingerprint or face recognition, has made people’s daily life become more convenient, more privacy and more safety. And the unmanned store is one of the themes which has attracted people’s attention which rises with deep learning.
Many retail stores with the concept of unmanned stores are springing up, like “X-Store” of 7-ELEVEn and “Technology concept store” of FamilyMart from Taiwan, “Tao Café” of Taobao from China, or “Amazon GO” of Amazon from the U.S.
But there are still many disadvantages of the examples we mentioned above, for example, the cumbersome progress leads the customers an awful shopping experience, the construction of unmanned store environment and hardware maintenance costs are too high, the issue of the theft, etc., which made the store has encountered many obstacles in the operation and exhibition. In this paper, we achieve the goal, “Get and Go”. We proposed a construction of the environment of the unmanned store by integrating product recognition, face recognition, virtual shopping carts, hardware devices, etc. to build a store environment. We have successfully reduced the usage of hardware to reduce the cost of the device, and deal with the issue of the theft.