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Development Of Techniques to Determine Object Shifts for PCB Board Assembly Automatic Optical Inspection (AOI)
Pramudita R.a, Hariadi F.I.a
a School of Electrical Engineering and Informatics, Institut Teknologi Bandung, Microelectronics Center, Institut Teknologi Bandung, Bandung, 40132, Indonesia
[vc_row][vc_column][vc_row_inner][vc_column_inner][vc_separator css=”.vc_custom_1624529070653{padding-top: 30px !important;padding-bottom: 30px !important;}”][/vc_column_inner][/vc_row_inner][vc_row_inner layout=”boxed”][vc_column_inner width=”3/4″ css=”.vc_custom_1624695412187{border-right-width: 1px !important;border-right-color: #dddddd !important;border-right-style: solid !important;border-radius: 1px !important;}”][vc_empty_space][megatron_heading title=”Abstract” size=”size-sm” text_align=”text-left”][vc_column_text]© 2018 IEEE.In this study, we try to propose and implement a solution to the problems that occur in automatic optical inspection (AOI) systems where problems occur with regard to object shifts when this visual inspection process occurs so this shift causes the inspection process to be hampered. In this research work, a low-cost machine vision based on an SBC (Single Board Computer) is developed. Where Raspberry-Pi as a popular SBC offers the capability of being interfaced with a camera and of running a Linux-based operating system such as Ubuntu. These capabilities enable this board to be used to run sophisticated image processing programs for machine vision. The output of this system is to determine whether the object under inspection is accepted if the value of the shift is still below the tolerance value or rejected if the value of the shift exceeds the tolerance value. We propose a method to measure the distance of object shift using the Euclidean distance method while to determine our key points we use the Oriented Fast and Rotated BRIEF (ORB) method to recognize the object.[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Author keywords” size=”size-sm” text_align=”text-left”][vc_column_text]Automatic optical inspection,Euclidean distance,Euclidean distance methods,Image Processing Projects,Inspection process,Oriented fast and rotated brief (ORB),Single board computers,Visual inspection[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Indexed keywords” size=”size-sm” text_align=”text-left”][vc_column_text]Automatic Optical Inspection (AOI),Euclidean Distance,Oriented fast and Rotated BRIEF (ORB),Single Board Computer (SBC)[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Funding details” size=”size-sm” text_align=”text-left”][vc_column_text][/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”DOI” size=”size-sm” text_align=”text-left”][vc_column_text]https://doi.org/10.1109/ISESD.2018.8605458[/vc_column_text][/vc_column_inner][vc_column_inner width=”1/4″][vc_column_text]Widget Plumx[/vc_column_text][/vc_column_inner][/vc_row_inner][/vc_column][/vc_row][vc_row][vc_column][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][/vc_column][/vc_row]