AI IDENTIFICATION AND DETECTION SYSTEM OF DEFECTIVE PRODUCTS IN THE PIPELINE TRANSPORTATION PROCESS OF FRUIT VESICLES
卷宗概要
申请人
Swire Coca-Cola Beverages Guangxi Limited
发明人
Fang Feng; Tianfu Zhong; Caishi Yan; Wei Hu; Wancun Huang
IPC 分类
CPC 分类
An AI identification and detection system of defective products in the pipeline transportation process of fruit vesicles comprises an orange vesicle information collection module, an vesicle quality qualification degree analysis module, a database, a vesicle disqualification processing module, and an orange vesicle quality problem feedback module; the invention comprehensively analyzes the vesicle quality qualification degree of orange vesicles by analyzing three dimensions of vesicle diameter conformity degree, vesicle freshness degree and vesicle contamination degree, which improves the analysis comprehensiveness of vesicle quality of orange vesicles, and through comprehensive analysis of three dimensions, it improves the strictness of quality control in the production process, and at the same time improves the stability of the product quality, reduces the return rate of goods and complaints from customers, and reduces the impact on economic benefits and reputation of enterprises.
原文（中文）
An AI identification and detection system of defective products in the pipeline transportation process of fruit vesicles comprises an orange vesicle information collection module, an vesicle quality qualification degree analysis module, a database, a vesicle disqualification processing module, and an orange vesicle quality problem feedback module; the invention comprehensively analyzes the vesicle quality qualification degree of orange vesicles by analyzing three dimensions of vesicle diameter conformity degree, vesicle freshness degree and vesicle contamination degree, which improves the analysis comprehensiveness of vesicle quality of orange vesicles, and through comprehensive analysis of three dimensions, it improves the strictness of quality control in the production process, and at the same time improves the stability of the product quality, reduces the return rate of goods and complaints from customers, and reduces the impact on economic benefits and reputation of enterprises.