Issue |
MATEC Web Conf.
Volume 292, 2019
23rd International Conference on Circuits, Systems, Communications and Computers (CSCC 2019)
|
|
---|---|---|
Article Number | 01030 | |
Number of page(s) | 5 | |
Section | Circuits and Systems | |
DOI | https://doi.org/10.1051/matecconf/201929201030 | |
Published online | 24 September 2019 |
Accelerometer-based glass-break detector for alarm applications
1 Tomas Bata University in Zlín, Faculty of Applied Informatics, Nad Stráněmi 4511, 760 05 Zlín, Czech Republic.
2 Lab UbiNET, Campus do Instituto Politécnico de Beja. Apartado 6155, 7800-295 Beja, Portugal.
* Corresponding author: v2mach@utb.cz
The aim of this paper is to introduce and improve the functionality and reliability of the indoor glass-break detectors for the security application. The most vulnerable part of the house security are the windows which are fragile and very easy to overcome. The glass-break or shock detector are generally used to detect the potential intruder by vibration which is spreading through the glass. The alarm is triggered when a threshold level of the vibration is exceeded. However, the further information of the intrusion is missing. The goal of this paper is a design of a glass-break detector based on the accelerometer which can also detect the vibration in the glass panels with higher accuracy. The main advantage of the implemented accelerometer is the ability to sense several influences of the environment. The program can reliably distinguish between main influences like the rain, storm or strong wind. This function can also be used for the non-alarm application. However, the main function is still focused on the security application. The designed detector should be able to communicate with commercially made Control and Indicating Equipment via the wired connection.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.