Title :
Intelligent automation of bird deboning
Author :
Ai-Ping Hu ; Bailey, James ; Matthews, Mark ; McMurray, G. ; Daley, W.
Author_Institution :
Aerosp., Transp. & Adv. Syst. Lab., Georgia Tech Res. Inst., Atlanta, GA, USA
Abstract :
Second and further processing operations constitute the largest use of on-the-line labor in today´s poultry processing plants. Deboning is a significant part of these operations. This paper describes continuing work in the intelligent automation of bird deboning, a task that is conceptualized into three parts: characterizing the non-uniform bird product (using statistical studies and image processing), obtaining a nominal cutting path (using image features correlated to internal bird structures and robot kinematics), and correcting for deviations from the nominal cutting path (using force control). Results from deboning experiments using a prototype system developed to perform bird shoulder cuts are reported.
Keywords :
computer vision; cutting; factory automation; feature extraction; food processing industry; food products; force control; industrial robots; prototypes; robot kinematics; statistical analysis; bird shoulder cuts; deboning experiments; image features; image processing; intelligent bird deboning automation; internal bird structures; nominal cutting path; nonuniform bird product; on-the-line labor; poultry processing plants; prototype system; robot kinematics; Birds; Blades; Bones; Force; Joints; Robots; Shoulder; food processing; force control; intelligent automation; machine vision;
Conference_Titel :
Advanced Intelligent Mechatronics (AIM), 2012 IEEE/ASME International Conference on
Conference_Location :
Kachsiung
Print_ISBN :
978-1-4673-2575-2
DOI :
10.1109/AIM.2012.6265969