DocumentCode :
1365764
Title :
Lateral Optical Sensor With Slip Detection for Locating Live Products on Moving Conveyor
Author :
Lee, Kok-Meng ; Foong, Shaohui
Author_Institution :
Woodruff Sch. of Mech. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
Volume :
7
Issue :
1
fYear :
2010
Firstpage :
123
Lastpage :
132
Abstract :
This paper presents a method to determine the 2-D profile and motion of a live product (such as chicken for poultry meat processing) on a moving conveyor from a lateral optical sensor that consists of an orthogonal pair of line array (LA) scanners. Unlike most line array (LA) scanners designed to provide a 2-D image of a static object, the lateral optical sensor presented here offers a practical means to detect object slippage on the conveyor in real time. Three examples are given to illustrate the effectiveness of this sensing method. The first simulates the 2-D boundary of a geometrically well-defined object on an accelerating conveyor, which offers intuitive insights on the effects of conveyor dynamics and object slippage on the accuracy of the 2-D boundary measurement. The second experimentally demonstrates the extendibility of LA sensors to detect both engineering and natural objects. The final example illustrates the application of the lateral optical sensor as a real time feedback sensor for active singulation of natural objects.
Keywords :
agricultural products; conveyors; food processing industry; food products; image motion analysis; object detection; optical sensors; 2D boundary measurement; 2D image; accelerating conveyor; active natural object singulation; chicken; conveyor dynamics; lateral optical sensor; live product location; moving conveyor; object slippage detection; orthogonal line array scanner pair; poultry meat processing; slip detection; static object; Food processing; object handling; sensor; slip detection;
fLanguage :
English
Journal_Title :
Automation Science and Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
1545-5955
Type :
jour
DOI :
10.1109/TASE.2009.2025505
Filename :
5233887
Link To Document :
بازگشت