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| Content Provider | ACM Digital Library |
|---|---|
| Author | Suzuki, Genta Murase, Taichi Fujii, Yusaku Obinata, Yuya |
| Abstract | Workers in factories often have to stop an operation to confirm various assembly instructions, for example, component numbers and/or the location to place a component; this is particularly the case with exceptional or inexperienced operations in a mixed-flow production line. These types of operation interruptions are one of the most significant factors linked to a decreasing productivity rate. In this study, we propose a novel method that estimates, in real time, the pose of a manufactured product on a production line without any augmented reality (AR) markers. This system projects instructions and/or component positions to help a worker process production information quickly. In this paper, we produced assembly-support system experimentally using projection-based AR. We develop a highly accurate object pose estimation method for manufactured products. The result of this experimental evaluation indicates that the combination of ORB and our algorithm can detect an object's pose more precisely than ORB only. We also develop an algorithm that is robust even if a part of an object is occluded by a worker's hand. We consider that this system helps workers understand instructions and component positions without the need to stop and confirm assembly instructions, thus enabling more efficient operation of tasks. |
| Starting Page | 331 |
| Ending Page | 336 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781450342483 |
| DOI | 10.1145/2992154.2996776 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2016-11-06 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Assembly-support system Augmented reality |
| Content Type | Text |
| Resource Type | Article |
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