2D irregular shape parts recognition for automatic assembly (Record no. 21)

MARC details
000 -LEADER
fixed length control field 02872nam a2200277 a 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20260817161123.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field
035 ## - SYSTEM CONTROL NUMBER
System control number .b12339507
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Sakol Kitkasiwat
245 10 - TITLE STATEMENT
Title 2D irregular shape parts recognition for automatic assembly
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Pathumthani:
Name of publisher, distributor, etc. Asian Institute of Technology,
Date of publication, distribution, etc. 2014
300 ## - PHYSICAL DESCRIPTION
Accompanying material 1 online resource
500 ## - GENERAL NOTE
General note The degree of Master of Engineering in Mechatronics, School of Engineering and Technology
520 ## - SUMMARY, ETC.
Summary, etc. This thesis is to develop matching algorithm for assembling 2D irregular shape parts. The algorithm was implemented based on a real process. The algorithm focuses on parts identification and matching. Given parts are always placed to a working area of assembling process randomly. This system has to assemble any parts following a design. In order to achieve this process, there are three main procedures as follow: image enhancement, part recognition and toolpath generation. Firstly, image enhancement, a given image and a designing image is transformed to one-pixel wide closed contour binary image to analyze the contour information after the both of them are acquired by capturing from a working area of an assembling process. This algorithm can extract contour information from raw images. Secondly, part recognition, the purposed algorithm of this process is to create index descriptions and match parts from index information. The parts images initially, are traced to create group of contours with x,y coordinates. Then the algorithm generates four index descriptions in which can specify the parts differences under a polygon-like concept. The index descriptions can show the estimated detail of each object shape. By using the index description, the algorithm then matches the given parts to a design and makes matched pairs. Lastly, toolpath generation, this technique has been developed to search a efficient toolpath of assembly. There are two sections for calculation in this process. the first section is to manipulate the part orientation in order to make a machine assemble part in a correct angle. The second section is to select a suitable toolpath of assembly. This study attempts to investigate the performance of the algorithm by testing with several types of part. The result of all experiments shows the efficiency of the algorithm for assembling polygon and non-polygon.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Assembly -line method
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Shapes
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Pisut Koomsap,
Relator term Chairperson
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Bohez, Erik L.J.,
Relator term Examination Committee
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Manukid Parnichkun,
Relator term Examination Committee
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element AIT Fellowship,
Relator term Scholarship donor
856 ## - ELECTRONIC LOCATION AND ACCESS
Materials specified Full-Text
Uniform Resource Identifier <a href="http://203.159.5.9/ait-thesis/detail.php?q=B04684">http://203.159.5.9/ait-thesis/detail.php?q=B04684</a>
907 ## - LOCAL DATA ELEMENT G, LDG (RLIN)
a .b12339507
b mnait
c j
902 ## - LOCAL DATA ELEMENT B, LDB (RLIN)
a 240423
998 ## - LOCAL CONTROL INFORMATION (RLIN)
Operator's initials, OID (RLIN) 0
Cataloger's initials, CIN (RLIN) 200108
First date, FD (RLIN) m
-- a
-- j
-- 0

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