Real-time detection system for automobile car seat based on vision

DOI

10.2991/iwmecs-18.2018.118How to use a DOI?

Keywords

Car seat detection; machine vision; Camera calibration.

Abstract

Most car seat detection method is artificial, which has low efficiency. To solve this problem, proposed a real-time detection system based on vision in this paper. Firstly, give the total block diagram of the system. Secondly, give the camera calibration method. Third, use significant value to detect the springs and use the Hough transform to detect the side curtain. Calculate the intersections between springs and the side curtain. If the intersections are 8, the car seat is qualified

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Xiaoguang Li
AU  - Juan Zhu
AU  - Chao Wang
PY  - 2018/04
DA  - 2018/04
TI  - Real-time detection system for automobile car seat based on vision
BT  - Proceedings of the 2018 3rd International Workshop on Materials Engineering and Computer Sciences (IWMECS 2018)
PB  - Atlantis Press
SP  - 566
EP  - 571
SN  - 2352-538X
UR  - https://doi.org/10.2991/iwmecs-18.2018.118
DO  - 10.2991/iwmecs-18.2018.118
ID  - Li2018/04
ER  -