Design of an Intelligent Retail System Based on Raspberry Pi
Retail intelligence reform has not only effectively improved sales efficiency,but also reduced labor costs to a certain extent,bringing convenience and benefits to the retail industry.Based on Deep Learning algorithm,this paper uses a self-built commodity dataset for model training,which is ran on embedded systems and researched.A Raspberry Pi 4B development board is used as the hardware core,and an intelligent retail system integrating weighing,recognition and interaction functions is designed.This system fully utilizes the advantages of Deep Learning algorithm,and can quickly and accurately identify goods through the analysis and processing of commodity data.After a series of tests,the results show that the system has achieved the expected functions,providing strong support for the correctness of the research.
万方数据
维普
