YOLOv5-Based Intelligent Cigarette Packaging Authenticity Recognition Mobile APP System
In the current cigarette market inspection work,the identification of cigarette authenticity mainly relies on human sensory perception.It involves determining the authenticity by comparing inspection samples with genuine products and examining differences in the genuine product's processing and printing techniques.This method suffers from issues such as low efficiency and subjectivity.To address these problems,this paper proposes an AI-based intelligent identification system for cigarette packaging authenticity.This system utilizes the YOLOv5 network model with a fused attention mechanism to identify the features of cigarette packaging images and determine their authenticity.Simultaneously,a database and management system for cigarette packaging image information have been established,along with the development of a mobile application(APP)that encapsulates the recognition algorithm.This system enables rapid optical imaging acquisition of cigarette packaging and intelligent image authenticity recognition,thereby improving the efficiency of cigarette inspection work.
authenticity of cigarette packagingYOLOv5 network modelmobile APP
万方数据
维普
