Intelligent Accessory for Self Defense

In an instance when fears about personal safety are growing, especially for the weaker members of society like the physically impaired, inventive technological solutions are essential. This study describes a multifunctional self-defense gear that combines cloud computing, Internet of Things (IoT) devices, and machine learning (ML) algorithms to lessen potential threats. The add-on uses a pulse sensor to recognize high heart rates that could be a sign of danger. This allows a camera to be activated in order to analyze the threat. The ML algorithms use facial gesture analysis and prerecorded photographs of known criminals to evaluate the scenario and, if needed, trigger a small pepper spray module for immediate defense. The gadget also has a GPS tracker built in to notify local authorities of the user's location in the happening of an emergency. The captured video is securely kept on a cloud-based stand that is only accessible to the owner, escalating the usefulness of the add-on as a prophylactic and possible proof lest of an urgent situation. This essay describes the self-defense accessory's development, application, and assessment, emphasizing how it might deeply improve private security for people of all ability levels.

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Publication Details

Published
2024-08-08
DOI
https://doi.org/10.1109/icecsp61809.2024.10698206
Primary Topic
Military Defense Systems Analysis
Type
article
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Intelligent Accessory for Self Defense

Batharaju Sneha, Venuthurupalli Harshith, Kanagandla Swarna, Pilli Abhinay et al.
Military Defense Systems Analysis
article

Intelligent Accessory for Self Defense

Batharaju Sneha, Venuthurupalli Harshith, Kanagandla Swarna, Pilli Abhinay, Fatima Unnisa, Badugula Bharath Kumar
article en

Abstract

In an instance when fears about personal safety are growing, especially for the weaker members of society like the physically impaired, inventive technological solutions are essential. This study describes a multifunctional self-defense gear that combines cloud computing, Internet of Things (IoT) devices, and machine learning (ML) algorithms to lessen potential threats. The add-on uses a pulse sensor to recognize high heart rates that could be a sign of danger. This allows a camera to be activated in order to analyze the threat. The ML algorithms use facial gesture analysis and prerecorded photographs of known criminals to evaluate the scenario and, if needed, trigger a small pepper spray module for immediate defense. The gadget also has a GPS tracker built in to notify local authorities of the user's location in the happening of an emergency. The captured video is securely kept on a cloud-based stand that is only accessible to the owner, escalating the usefulness of the add-on as a prophylactic and possible proof lest of an urgent situation. This essay describes the self-defense accessory's development, application, and assessment, emphasizing how it might deeply improve private security for people of all ability levels.

Openalex Percentile: Top 73%
Military Defense Systems Analysis
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