Proceedings of the 7th International Conference on Management, Education, Information and Control (MEICI 2017)

Design of Automatic Patrol Line Car Based On Camera

Authors
Jian Huang
Corresponding Author
Jian Huang
Available Online October 2017.
DOI
10.2991/meici-17.2017.32How to use a DOI?
Keywords
Camera; Color recognition; Edge detection
Abstract

Camera technology is widely used in face recognition, color recognition and graphic image recognition. But the amount of information is very large when the camera is collected, so it is necessary to use high-performance microprocessor for data acquisition, and to identify different objects with a certain algorithm. This paper used the camera to detect the black line, and the edge detection of black lines is used to realize the edge detection algorithm, the control of the car along the black line tracking. The utility model has the advantages of strong identification ability, strong anti-interference ability, etc..

Copyright
© 2017, 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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Volume Title
Proceedings of the 7th International Conference on Management, Education, Information and Control (MEICI 2017)
Series
Advances in Intelligent Systems Research
Publication Date
October 2017
ISBN
978-94-6252-412-5
ISSN
1951-6851
DOI
10.2991/meici-17.2017.32How to use a DOI?
Copyright
© 2017, 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/).

Cite this article

TY  - CONF
AU  - Jian Huang
PY  - 2017/10
DA  - 2017/10
TI  - Design of Automatic Patrol Line Car Based On Camera
BT  - Proceedings of the 7th International Conference on Management, Education, Information and Control (MEICI 2017)
PB  - Atlantis Press
SP  - 146
EP  - 148
SN  - 1951-6851
UR  - https://doi.org/10.2991/meici-17.2017.32
DO  - 10.2991/meici-17.2017.32
ID  - Huang2017/10
ER  -