基于机器视觉的烟叶杂物在线识别剔除研究OA

In the context of industrial intelligence and automation,using machine vision technology to achieve online recognition and removal of tobacco debris in the tobacco production process can improve the debris removal rate,ensure the quality and quality of tobacco products,and expand the sales market of tobacco enterprises.This study mainly provides an overview of the structure and working principle of the online identification and removal system for tobacco debris.It points out the further optimization of the system software algorithm and hardware based on machine vision technology,and conducts on-site testing in order to use a new debris sorting algorithm,so as to build a powerful online identification and removal system for tobacco debris,enhance the automation level of the production line,further reduce the false detection rate of tobacco debris,and enhance the competitiveness of tobacco enterprises.