Burglary Detection Framework for House Crime Control
Computing Sciences and Computer Engineering
Advancement in technology improved living standard. Several known and unknown threats are handled using emerging technology. However, burglary threat is not fully addressed. In this paper, we introduce burglary detection (BD) framework to reduce the house thievery crime rate. BD involves secure home application, and framework. Secure home application involves two modes: protected and unprotected. Protected mode is enabled when people are at property (e.g. home, apartment). Unprotected mode is initiated when people are not in property. In any illegitimate person tries to enter the property, the signals are generated and sent to the owners, this process helps capture the illegitimate person. The proposed BD framework is implemented using Arduino, Java platform and Android. BD is tested and obtained desired results.
19th International Conference on Computational Science and Its Applications
Frej, M. B.,
Toksavnovna, A. S.,
Ganda, R. M.,
(2019). Burglary Detection Framework for House Crime Control. 19th International Conference on Computational Science and Its Applications.
Available at: https://aquila.usm.edu/fac_pubs/17017