Defect Detection and Trimming in Wire Rod Mills Driven by Robotics and Computer Vision Technology
Currently, to avoid cobbles and improve the product final quality, operators manually cut defective wire rod tails on the cooling conveyor. A fully automated wire rod tail defect identification and cutting system has been developed, which can be installed at the end of the conveyor. An artificial vision system processes the captured images during the wire rod passage and, through AI models, determines whether the tail is defective. <br/> Downstream, an anthropomorphic robot intercepts and cuts the defective tail and removes it from the line. Cyclically or upon request, the system also carries out sample collection and its smart management.
Authors:
Mr. Enrico Piceni | Danieli & C. Officine Meccaniche S.p.A.
Mr. Matteo Sandri | Danieli Automation
Mr. Simone Ambrosio | Danieli Automation
Mr. Manuel Martin | Danieli Automation
Session Chairs:
Rob Westropp | Steel Dynamics Inc. - Structural and Rail Division
Sam Stone | Steel Dynamics Inc. - Structural and Rail Division
Defect Detection and Trimming in Wire Rod Mills Driven by Robotics and Computer Vision Technology
Category
Paper and Presentation
Description
Session: Long Products: Rebar/Wire Rod
Track: Long Products
Date: 5/6/2024
Session Time: 9:30 AM to 12:00 PM
Presentation Time: 10:00 AM to 10:30 AM
Track: Long Products
Date: 5/6/2024
Session Time: 9:30 AM to 12:00 PM
Presentation Time: 10:00 AM to 10:30 AM