2018 International Conference on System Science and Engineering (ICSSE) 2018
DOI: 10.1109/icsse.2018.8520170
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Capacitor Detection in PCB Using YOLO Algorithm

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Cited by 31 publications
(14 citation statements)
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“…The anchor allocation rules proposed above are applied for the PCB assembly scene training dataset for which the anchor size has been determined. For the 52 × 52 output layer, there are 4 anchors allocated, which are [ 9 , 14 , 17 , 21 , 22 , 22 , 32 , 35 ]. For the 26 × 26 output layer, there are three allocated anchors, namely [ 27 , 30 , 34 , 41 , 47 , 47 ].…”
Section: Methodsmentioning
confidence: 99%
See 2 more Smart Citations
“…The anchor allocation rules proposed above are applied for the PCB assembly scene training dataset for which the anchor size has been determined. For the 52 × 52 output layer, there are 4 anchors allocated, which are [ 9 , 14 , 17 , 21 , 22 , 22 , 32 , 35 ]. For the 26 × 26 output layer, there are three allocated anchors, namely [ 27 , 30 , 34 , 41 , 47 , 47 ].…”
Section: Methodsmentioning
confidence: 99%
“…Therefore, for the joint module improved YOLOv3, we use the same anchor allocation method based on ERF. There are 5 anchors allocated to the 52 × 52 output layer, which are, respectively, [ 9 , 14 , 17 , 21 , 22 , 22 , 32 , 35 ], and [27, 41]. The 26 × 26 output layer assigns a total of 3 anchors, which are, respectively, [30, 47], [34, 47], and [186, 120].…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…Another neural network based study incorporates fuzzy rule-based method to correct any possible misclassification made by the neural network module [33]. In addition, recently there was a research which attempts to detect capacitor in PCB using YOLO algorithm [34]. However, prior studies are confined to either merely evaluating whether or not a component is flawed after detecting the mounted components or identifying each defect using a single-label classification approach.…”
Section: Smt Inspectionmentioning
confidence: 99%
“…The algorithm uses binary conversion to count 0's and 1's to find the region where a fault is present. Yih-Lon Lin, et al [9] present a method for capacitor detection in a PCB using YOLO. The authors trained the YOLOv2 network with 9 different kinds of capacitors.…”
Section: B Literature Surveymentioning
confidence: 99%