Smart Key Protection using LIS3DH Accelerometer

The idea of smart security is changing at a very fast rate, and one such evolution is the creation of a Smart Key Protection System based on motion sensing and real-time communication technologies to avoid key loss and unauthorized access. This technology employs the LIS3DH accelerometer, GPS and GSM modules to identify unusual movements like falls or abrupt impacts and automatically send alerts to the user with the exact geographical location of the key. This technology tackles common security issues like key theft and loss, making recovery faster while providing better asset protection. As more depen-dence is placed on digital systems for daily security, more demand exists for small, low-power and smart monitoring systems. This system fulfills all those requirements through optimized power control and well-chosen hardware components to maintain long battery life without sacrificing precision. The low-power, space-efficient design of the system makes it not only convenient but also scalable for personal usage-like protecting home or vehicle keys-and for professional use, such as safeguarding access to office buildings or industrial machinery. The combination of sensor-based identification with wireless messaging is an outward manifestation of a larger trend toward IoT-based security, setting a precedent for smart personal and asset safeguarding. This paper introduces the design and implementation of this embedded solution and demonstrates how the collaboration of hardware design, motion analysis and wireless technology can drive the creation of smarter, more responsive security systems that seamlessly integrate into everyday life.

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Publication Details

Published
2025-07-18
DOI
https://doi.org/10.1109/accthpa65749.2025.11168524
Primary Topic
Smart Systems and Machine Learning
Type
article
Field-Weighted Citation Impact
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article

Smart Key Protection using LIS3DH Accelerometer

Karthik Karthik, Henry S. Richardson, K M Rohith, Muhammed Nafih P et al.
Smart Systems and Machine Learning
article

Smart Key Protection using LIS3DH Accelerometer

Karthik Karthik, Henry S. Richardson, K M Rohith, Muhammed Nafih P, Anjaly Viswan
article en

Abstract

The idea of smart security is changing at a very fast rate, and one such evolution is the creation of a Smart Key Protection System based on motion sensing and real-time communication technologies to avoid key loss and unauthorized access. This technology employs the LIS3DH accelerometer, GPS and GSM modules to identify unusual movements like falls or abrupt impacts and automatically send alerts to the user with the exact geographical location of the key. This technology tackles common security issues like key theft and loss, making recovery faster while providing better asset protection. As more depen-dence is placed on digital systems for daily security, more demand exists for small, low-power and smart monitoring systems. This system fulfills all those requirements through optimized power control and well-chosen hardware components to maintain long battery life without sacrificing precision. The low-power, space-efficient design of the system makes it not only convenient but also scalable for personal usage-like protecting home or vehicle keys-and for professional use, such as safeguarding access to office buildings or industrial machinery. The combination of sensor-based identification with wireless messaging is an outward manifestation of a larger trend toward IoT-based security, setting a precedent for smart personal and asset safeguarding. This paper introduces the design and implementation of this embedded solution and demonstrates how the collaboration of hardware design, motion analysis and wireless technology can drive the creation of smarter, more responsive security systems that seamlessly integrate into everyday life.

Sacred Heart College (IN)
Openalex Percentile: Top 70%
Smart Systems and Machine Learning
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Smart Key Protection using LIS3DH Accelerometer — Karthik Karthik, Henry S. Richardson, et al. · (2025) | TGRS Research Map | TGRS