Abstract
Fast object detection is important to enable a vision-based automated vending machine. This paper proposes a new scheme to enhance the operation speed of YOLOv3 by removing the computation for the region of non-interest. In order to avoid the accuracy drop by a removal of computation, characteristics of a convolutional layer and a YOLO layer are investigated, and a new processing method is proposed from experimental results. As a result, the operation speed is increased in proportion to the size of the region of non-interest. Experimental results show that the speed is improved by 3.29 times while the accuracy degradation is 2.81% in mAP-50.
| Original language | English |
|---|---|
| Title of host publication | Proceedings 2019 IEEE International Conference on Artificial Intelligence Circuits and Systems, AICAS 2019 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 132-136 |
| Number of pages | 5 |
| ISBN (Electronic) | 9781538678848 |
| DOIs | |
| Publication status | Published - 2019 Mar 1 |
| Event | 1st IEEE International Conference on Artificial Intelligence Circuits and Systems, AICAS 2019 - Hsinchu, Taiwan, Province of China Duration: 2019 Mar 18 → 2019 Mar 20 |
Publication series
| Name | Proceedings 2019 IEEE International Conference on Artificial Intelligence Circuits and Systems, AICAS 2019 |
|---|
Conference
| Conference | 1st IEEE International Conference on Artificial Intelligence Circuits and Systems, AICAS 2019 |
|---|---|
| Country | Taiwan, Province of China |
| City | Hsinchu |
| Period | 19/3/18 → 19/3/20 |
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All Science Journal Classification (ASJC) codes
- Artificial Intelligence
- Hardware and Architecture
- Electrical and Electronic Engineering
Cite this
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Fast Detection of Objects Using a YOLOv3 Network for a Vending Machine. / Lee, Youhak; Lee, Chul Hee; Lee, Hyuk Jae; Kim, Jin Sung.
Proceedings 2019 IEEE International Conference on Artificial Intelligence Circuits and Systems, AICAS 2019. Institute of Electrical and Electronics Engineers Inc., 2019. p. 132-136 8771517 (Proceedings 2019 IEEE International Conference on Artificial Intelligence Circuits and Systems, AICAS 2019).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Fast Detection of Objects Using a YOLOv3 Network for a Vending Machine
AU - Lee, Youhak
AU - Lee, Chul Hee
AU - Lee, Hyuk Jae
AU - Kim, Jin Sung
PY - 2019/3/1
Y1 - 2019/3/1
N2 - Fast object detection is important to enable a vision-based automated vending machine. This paper proposes a new scheme to enhance the operation speed of YOLOv3 by removing the computation for the region of non-interest. In order to avoid the accuracy drop by a removal of computation, characteristics of a convolutional layer and a YOLO layer are investigated, and a new processing method is proposed from experimental results. As a result, the operation speed is increased in proportion to the size of the region of non-interest. Experimental results show that the speed is improved by 3.29 times while the accuracy degradation is 2.81% in mAP-50.
AB - Fast object detection is important to enable a vision-based automated vending machine. This paper proposes a new scheme to enhance the operation speed of YOLOv3 by removing the computation for the region of non-interest. In order to avoid the accuracy drop by a removal of computation, characteristics of a convolutional layer and a YOLO layer are investigated, and a new processing method is proposed from experimental results. As a result, the operation speed is increased in proportion to the size of the region of non-interest. Experimental results show that the speed is improved by 3.29 times while the accuracy degradation is 2.81% in mAP-50.
UR - http://www.scopus.com/inward/record.url?scp=85070457049&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85070457049&partnerID=8YFLogxK
U2 - 10.1109/AICAS.2019.8771517
DO - 10.1109/AICAS.2019.8771517
M3 - Conference contribution
AN - SCOPUS:85070457049
T3 - Proceedings 2019 IEEE International Conference on Artificial Intelligence Circuits and Systems, AICAS 2019
SP - 132
EP - 136
BT - Proceedings 2019 IEEE International Conference on Artificial Intelligence Circuits and Systems, AICAS 2019
PB - Institute of Electrical and Electronics Engineers Inc.
ER -