Research and application of intelligent supervision for cigarette display based on deep learning technology
To solve the problems of long time consumption and low efficiency in the supervision of terminal cigarette display by customer managers of the tobacco company,this paper designed an intelligent cigarette display supervision system(Cigarette Display Intelligent Guidance System,CDIGS)based on deep learning technology.The CDIGS system uses a cigarette product recognition algorithm based on feature matching and a cascade of classification algorithms.It recognizes cigarette display images taken by mobile terminals,automatically obtains the retailer's cigarette display,warning label placement information,and data related to cigarette display compliance rate,display specification count,and key brand shelving rate.By comparing with the preset standard model of cigarette display,the system provides real-time secondary display suggestions to retailers.Taking 516 cigarette retail stores in Baise City,Guangxi as an example,the CDIGS system was validated.The results show that:(1)The picture re-photography recognition model has an identification rate of 79%,effectively improving the authenticity of captured images;(2)The accuracy rates of the warning label detection,cigarette product detection,and cigarette brand recognition models all exceed 97%,accurately extracting cigarette information from images;(3)After a brief introduction,retail staff can quickly master the use of the system,and the compliance rate of cigarette display continues to improve,laying the foundation for widespread application.Thus,the CDIGS system provides a new way for cigarette display supervision,effectively guiding retailers to autonomously arrange cigarette displays according to rules and offering a new means for tobacco companies to quickly obtain relevant marketing data from retailers.
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