Women safety system using raspberry Pi with video and SMS alerting GSM,GPS & Shock system

- Security has emerged as a critical issue for women, children, and the elderly across various facets of life. Women encounter threats such as assaults and harassment, children are vulnerable to abduction, and senior citizens frequently face challenges like theft. In response to these pressing concerns, this study introduces a smart wearable device system utilizing Raspberry Pi 3 to bolster safety and security. The system combines a security feature with an alert mechanism, promptly notifying individuals in proximity through a buzzer alarm when activated. Furthermore, it incorporates a Support Vector Machine (SVM)-based model for surveillance, offering an effective strategy to address diverse societal challenges. The technology leverages the Global Positioning System (GPS) for user location tracking and the Global System for Mobile Communication (GSM) to dispatch alerts via SMS to emergency contacts and law enforcement agencies. Additionally, it utilizes General Packet Radio Service (GPRS) for data transmission. When the user activates the panic button on the wearable device, a USB web camera captures images of the assailant and the surrounding environment. These images, along with the user's location, are then emailed to emergency contacts.

Authors

Publication Details

Journal
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Published
2025-03-06
DOI
https://doi.org/10.55041/ijsrem42108
Primary Topic
IoT-based Smart Home Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Women safety system using raspberry Pi with video and SMS alerting GSM,GPS & Shock system

Bhusare Prasad
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
IoT-based Smart Home Systems
article

Women safety system using raspberry Pi with video and SMS alerting GSM,GPS & Shock system

Bhusare Prasad
article en

Abstract

- Security has emerged as a critical issue for women, children, and the elderly across various facets of life. Women encounter threats such as assaults and harassment, children are vulnerable to abduction, and senior citizens frequently face challenges like theft. In response to these pressing concerns, this study introduces a smart wearable device system utilizing Raspberry Pi 3 to bolster safety and security. The system combines a security feature with an alert mechanism, promptly notifying individuals in proximity through a buzzer alarm when activated. Furthermore, it incorporates a Support Vector Machine (SVM)-based model for surveillance, offering an effective strategy to address diverse societal challenges. The technology leverages the Global Positioning System (GPS) for user location tracking and the Global System for Mobile Communication (GSM) to dispatch alerts via SMS to emergency contacts and law enforcement agencies. Additionally, it utilizes General Packet Radio Service (GPRS) for data transmission. When the user activates the panic button on the wearable device, a USB web camera captures images of the assailant and the surrounding environment. These images, along with the user's location, are then emailed to emergency contacts.

INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENTVol. 09(03)
Gender equality
Openalex Percentile: Top 97%
IoT-based Smart Home Systems
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