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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yichi Zhang Min Jiang Yang Wu Xiaofeng Zhou |
| Copyright Year | 2015 |
| Description | Author affiliation: West Virginia Univ., Morgantown, WV, USA (Min Jiang) || Shenyang Inst. of Autom. Chinese, Shenyang, China (Yichi Zhang) || Wuxi CAS Ubiquitous, Inf. Technol., R&D Center Co., Ltd., Wuxi, China (Yang Wu) || Shenyang Inst. of Autom., Shenyang, China (Xiaofeng Zhou) |
| Abstract | This paper proposed an automatic rebar splitting system counting by machine vision based on two-level transmission. Compared with other existing systems, this system significantly reduces the space requirements for installation, can use the space of rebar workshop more effectively. This system uses efficient algorithm to solve counting problems caused adhesion and sliding between rebar. By improving the sub-steel machine, this system uses the two-step rebar splitting and visual verification technology to split stacked rebar exactly. This system makes little change on production line and runs fast, accurately, easily to be maintained. It not only meets the needs of production but greatly improve the efficiency of the existing counting system, which is fit for space limited rebar workshop. |
| Starting Page | 587 |
| Ending Page | 590 |
| File Size | 447193 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781479987283 |
| e-ISBN | 9781479987306 |
| DOI | 10.1109/CYBER.2015.7288006 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-06-08 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Visualization Machine vision FPGA Rebar splitting Optical imaging Rebar counting High-speed machine vision Steel Bars Automatic detection |
| Content Type | Text |
| Resource Type | Article |
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