Proceedings of the 2017 2nd International Conference on Control, Automation and Artificial Intelligence (CAAI 2017)

Design of Safety Early Warning Based on Ultrasound

Authors
Kai Xia, Ming Yang
Corresponding Author
Kai Xia
Available Online June 2017.
DOI
10.2991/caai-17.2017.47How to use a DOI?
Keywords
mcu; ultrasound; measured speed; measured distance
Abstract

A safety driving warning system which can use Ultrasonic wave to measure the distance and generate an early warning of dangerous distance has been designed in order to improve driving safety by the propagation velocity of ultrasonic wave in the air soon, less energy consumption, directional well. STC89C52 MCU is employed as the key control unit; HC-SR04 ultrasonic module is utilized to complete ranging and speed detection; and temperature sensors are used to reduce the influence of temperature in sonic ware; Through displaying the measured speed, distance, and in the display module of LCD 1602 screen, the speed and distance will be measured and compared so as to improve measurement precision; when the distance is less than security distance, the buzzer will utter an alarm to remind the driver to react properly.

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/).

Download article (PDF)

Volume Title
Proceedings of the 2017 2nd International Conference on Control, Automation and Artificial Intelligence (CAAI 2017)
Series
Advances in Intelligent Systems Research
Publication Date
June 2017
ISBN
10.2991/caai-17.2017.47
ISSN
1951-6851
DOI
10.2991/caai-17.2017.47How 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  - Kai Xia
AU  - Ming Yang
PY  - 2017/06
DA  - 2017/06
TI  - Design of Safety Early Warning Based on Ultrasound
BT  - Proceedings of the 2017 2nd International Conference on Control, Automation and Artificial Intelligence (CAAI 2017)
PB  - Atlantis Press
SP  - 216
EP  - 218
SN  - 1951-6851
UR  - https://doi.org/10.2991/caai-17.2017.47
DO  - 10.2991/caai-17.2017.47
ID  - Xia2017/06
ER  -