Enhancing home security with pressure mat sensors: a multi-modal IoT approach

Home security is a major concern worldwide, and there are various solutions available, but with limitations. This paper proposes a novel security system that overcomes the limitations of current systems by using piezoresistive sensors placed inside a mat to detect intruders with varying levels of pressure intensities. The proposed system incorporates a camera and a CNN algorithm with the EfficientNet model to detect whether the object is a human, and it is equipped with features like an email and SMS notification mechanism, backup battery, and a sophisticated tracking mechanism. The proposed system is highly resilient to tampering or circumvention and outperforms existing security systems in terms of being non-intrusive, providing tracking features for the intruder, and being resistant to blackouts. This paper documents the research, development, testing, evaluation process, and contributions made to address the security challenges by developing an affordable, easy-to-use, and effective home security system.

This version of the paper has been accepted for publication, after peer review and is subject to Springer Nature’s AM terms of use (https://www.springernature.com/gp/open-research/policies/accepted-ma...), but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://dx.doi.org/10.1007/978-3-031-51849-2_6