Name
Abstract | ||
|---|---|---|
In order to consider the visual inspection utilizing the peripheral vision, this paper examines the inspection times that affect defect detection. The fixation duration and the distance between defect and the fixation point are experimental factors in determining the inspection time. As the result, in case of a large sized defect, the detection rate is high regardless of the fixation duration and the distance between the defect and the fixation point. In case of a small sized defect, when the fixation duration is longer and the distance between the defect and the fixation point is closer, the defect detection rate is higher. Moreover, as the result of conducting multiple linear regression analysis about the experiment factors, it is obtained that judging from standardized partial regression coefficient of factors, higher defect size, less the distance between defect and the fixation point, the higher fixation duration, is proved to improve the defect detection. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1007/978-3-642-41266-0_4 | ADVANCES IN PRODUCTION MANAGEMENT SYSTEMS: SUSTAINABLE PRODUCTION AND SERVICE SUPPLY CHAINS, PT 1 |
Keywords | Field | DocType |
Visual inspection,Inspection time,Peripheral vision,Effective field of view | Computer vision,Visual inspection,Inspection time,Peripheral vision,Artificial intelligence,Fixation point,Engineering,Fixation (histology) | Conference |
Volume | ISSN | Citations |
414 | 1868-4238 | 1 |
PageRank | References | Authors |
0.63 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ryosuke Nakajima | 1 | 1 | 0.96 |
| Keisuke Shida | 2 | 1 | 0.96 |
| Toshiyuki Matsumoto | 3 | 1 | 1.98 |