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Design And Development of Robust IOT Based Women
Safety System with Raspberry Pi
1D SANDHYA RANI, SWETHA.P2
123 Assistant professor DEPT OF ECE, ,SRI INDU COLLEGE OF ENGG & ECHNOLOGY,HYDERABAD,TELANGANA
1EMAIL ID: [email protected]
2 EMAIL ID :[email protected]
Abstract: Every day, each girl, woman, and those from different backgrounds of life struggle to
be secure and rescue themselves from the quite disrespectful guy's roving eye that abuses girl's
dignity each day. Its miles implemented within the form of a cleaver IoT tool and include
Raspberry Pi, Heartbeat sensor, temperature sensor, GPS, Panic button, and camera. This
device is highly compact and may be triggered by utilizing the sufferer by clicking a button and
studying human temperature. Heart rate exceeds the edge cost without delay ship her cutting-
edge location, and seize the attacker's photograph through the raspberry pi camera. The
location and connection of the captured picture and SMS can be sent to the selected contact
numbers or police. We additionally use voice factor when the lady is not in that situation to
press button, she uses to mention help then a message will be dispatched to the emergency
contact numbers.
Keywords: Camera, GPS, Heart Beat Sensor, Panic Button, Raspberry pi 3 models B,
temperature sensor, women safety device
I. INTRODUCTION
The problem of women's safety is a
significant issue in the world. With the
advent of technology, the aim is to find the
solution of the same using the concepts of
the Internet of Things and Cloud
Technology. Internet of things enables the
system to communicate with the Internet of
Things helps us interact with the natural
world and process real-world cues and
scenarios to get an output that assists
humans and other technologies [1]. Internet
of hings is a system of uniquely identifiable
components which communicate with each
other, share data, and allow users to
directly or indirectly interact with the
physical world. This technology can be used
to get location information and
communicate data collected [2]. Voice
recognition is a process that aims to
identify 'who' is speaking.
SpeakerVerification uses the process of
voice recognition to match the test input
with a pre-recorded sample for verification
or authentication. This falls under the
domain of biometrics. Cloud computing is
the availability of resources like data
storage and processing power, as per user
requirements sourced from a remote
location, over the internet. Cloud Storage
and processing has allowed us to store a
massive amount of data on a virtual storage
device. This reduces the memory
requirements in the wearable and makes it
cheaper as compared to using local storage.
The data needed is extracted from the cloud
storage according to specific requirements.
This also makes the data universally
accessible and reduces the risk of losing
data and evidence if the device is physically
harmed under any circumstances. Most of
the IoT based devices developed for women
safety use a mobile-based application to
activate the system. This, however, reduces
the device's utility in case of emergencies as
the usage of mobile phones in the presence
of an attacker might not be feasible. Our
system, on the other hand, does not use
any mobile interface. It is strictly a
hardware system that gets activated and
starts functioning on customizable voice
command. It is easier to activate and
provides better safety [3].
II. LITERATURE SURVEYS
Islam et al. [4] purposed "Design and
Implementation of Women Auspice System
by Utilizing GPS and GSM". In this system,
they used a GPS module, three
pushbuttons, PIC16F887 microcontroller.
GPS is used to get to the area of the client
quickly. Three press catches are executed
to characterize the kinds of a mishap
casualty is confronting.
When the client faces any issues wherever,
it can press any of these three catches. At
that point, the microcontroller will get it
and send an SMS to the particular
telephone number. The area of the client
will be constantly followed until the client
switch off the framework when saved.
What's more, to control the entire
framework they have utilized a PIC16F887A
microcontroller fueled by four AA batteries.
Muskan et al. [5] Implemented "Women
Safety Device Designed using IoT and
Machine Learning". This study is going to
design a device. For generating alarm, the
device is customized to learn the individual
pattern of temperature and heart rate and
determine the threshold when both
temperature and heart rate exceeds above
the threshold it automatically sends SMS
and location to the emergency contact
number to take action.
A. Priyadarshini et al. [6] suggested
"Women Empowerment towards developing
India". Women fortifying bases on
empowering every woman in the country to
make them selfruling in all perspectives as
a rule open, be careful about the rights and
cause them to get ready about physical
security. This paper centers around
portraying the issues that ladies are looking
in their daily life plans accessible for
Women Empowerment in India and Self-
Help Group which is effectively running in
the province of Tamil Nadu, proposals on
Self Help Group for future upgrade and a
contextual investigation of Women
Empowerment Cell.
Navya R Sogi [7] purposed "SMARISA: A
Raspberry Pi based Smart Ring for Women
Safety using IoT. They have actualized a
wearable gadget for ladies as a savvy ring
(SMARISA) and contain Raspberry Pi,
camera, signal and catch to initiate the
administrations and the gadget is very
compact. It can be enacted by tapping the
catch that will bring her present area and
catch the picture of aggressor employing
Raspberry pi camera and send to the crisis
contact number.Prof.
Sunil K Punjabi [8] designed the "Smart
Intelligent System for Women and Child
Security" A compact gadget with a weight
switch. At the point when an assailant is
going to ambush the women/kid or when
they recognize any shortcomings from an
increasingly unordinary, they would then
have the option to press the device by
pulverizing or pressing it. Promptly the
weight sensor identifies this weight and an
ordinary SMS, with the causality's zone
will be sent to their folks/watchman
telephone numbers set aside in the devices
while getting it. Followed by a call. If the
call is unanswered for a postponed time, a
call will be conveyed to the police, and SMS
will likewise be sent.
G C Harikiran et al. [9] Implemented "Smart
Security Solution for Women based on
Internet Of Things(IOT)" They proposed a
gadget that is the blending of two or three
contraptions, equipment fuses of a
wearable "savvy band" which continually
speaks with a sharp phone that has to get
section to the web. The product is
customized and stacked with all the
necessary data which fuses human conduct
and responses to unique conditions like
displeasure, dread, and pressure. This
creates a sign that is transmitted to the
phone. The product has got right of passage
to GPS and informing administrations
which are prearranged in any such way
that at whatever point it gets crisis signal, it
can deliver help demand along with the
spot co-ordinates to the nearest police
headquarters, family members and people
inside the near span who have utility
Nandita Viswanath et al. [10] purposed
"Smart Foot Device for Women Safety" This
shrewd gadget will be cut to the client's
footwear and can be enacted mindfully. On
tapping one foot behind the other multiple
times, an alarm is sent by methods for
Bluetooth low vitality correspondence to an
application on the causality's phone.
Adjusted to create an SMS searching for
help with the territory of gadget associated.
III. RELATED WORK:
Raspberry Pi
Raspberry Pi (pa ltd) is a series of tiny
single-board computers (SBCs) that have
been created in the UK and developed in
partnership with Broadcom by the
Raspberry Pi Foundation. Initially, the
Raspberry Pi initiative aimed at promoting
fundamental education in schools and poor
nations. The first model was more popular
than expected, selling for applications such
as robotics beyond its intended market. It is
extensively utilised, because to its cheap
cost, flexibility and open design, in various
sectors, for example for weather monitoring.
The HDMI and USB devices are often used
by computer and electrical enthusiasts.
Following the introduction of the second
board type, the Raspberry Pi Foundation
created a separate company, Raspberry Pi
Trading, installing Eben Upton as its CEO,
in charge of technological development. The
Foundation has been rededicated to
promote basic computer instruction in
schools and underdeveloped nations as an
educational charity
.
Fig 1: Raspberry Pi 3 Model B
Sold units of the Raspberry Pi
One of the best-selling British computers is
the Raspberry Pi. More than forty million
boards were sold as of May 2021. Most Pis
is manufactured at a Sony plant in
Pencoed, Wales, while some are
manufactured in China and Japan.
DHT11
The DHT11 is a key, high-cost digital
sensor for temperature and moisture. It
utilises a capacitive moisture sensor and a
thermistor to monitor the environment and
spreads a digital signal to the data pin (no
analogue input pins needed). It is
reasonably easy to operate, but needs
precise scheduling for data collection. The
only major disadvantage to this sensor is
that you can only get fresh data once every
2 seconds, thus sensor values may be up to
2 seconds outdated when utilising the
library.
Fig 2: DHT11
Heart Beat Sensor -BH1792GLC
A sensor for optical heart rate detects pulse
waves that alter the volume of the blood
vessel as the heart pumps blood. Pulse
waves are detected using an optical sensor
and green LED to measure volume
variation. Optimizing an optical filter for
pulse wave detection in the sensor block
reduces environmental light influences
such as red and infrarot rays.
Fig 3 Heart Beat Sensor -BH1792GLC
This makes it possible to get high-quality pulse signals, even outside. Furthermore, using the optical sensor technology developed over many years, ROHM increased the sensitivity of the sensor block considerably. Supporting low-brightness VF LEDs enables a low optical heart rate monitoring system to be achieved without
the requirement for additional circuits (i.e., boost circuit). This leads to longer wearables with limited battery capacity.
Pi Camera
The Raspberry Pi Camera V2 is an 8
megapixel high-quality Raspberry Pi image
sensor Sony IMX219 with a fixed focus
lens. The camera is capable of 3280 x 2464
pixel static pictures with images of
1080p30, 720p60 and 640x480p90.
FIG 4 Pi Camera
IV. PROPOSED SYSTEM
The primary purpose of this article is the safety and safety of women using raspberry pi. Python programming is employed for this purpose. The raspberry pi has a temperature sensor, heart beat sensor, GPS and camera module incorporated. If a lady is in danger, the alarm will automatically send the authorities concerned manually. SMS notice would be sent to the authorities involved. In addition, the use of voice information will assist women at risk. And not in such circumstance to click the button, if you use it, to tell the guardian to send an SMS alert and the taken picture.
Architecture of the system
The design of the system includes a Power Supply, Temperature Sensor, Heart Beat Sensor, Raspberry pi module, GPS, Camera, Voice and two input buttons. Figure 5 illustrates the architectural chart for women's safety gadget, which includes raspberry pi is a low cost single board computer for connecting the pi raspberry camera and a button for the transmission of a message to the police and chosen individuals. a pi camera m that clicks the criminal picture and also uses GPS to transmit women's present position.
Fig 5: Block Diagram of Women Safety System
Block Female Security System Diagram Here we use the raspberry pi temperature sensor and beat sensor. The typical human body temperature is 37oC, and the healthy person's medium heartbeat rate is 60-100 minutes. When the ladies are at risk, their body temperature and heartbeat will rise if both circumstances are over the threshold level, which means that a message is sent to the family/police/friends automatically. If we notice anything going strangely, in this situation it also surpasses the threshold above, we utilise another button to convey the message that I am secure. If we use two buttons, in certain instances it sometimes doesn't work implies that we also use a button if a woman is in danger; she pushes a button, and the text messages, picture and place will be sent to the authorities involved. If a woman can't push the button if above two circumstances we don't use voice data which is the main benefit for women in danger. When she can't push button, she asks assistance, the message will send to the authorities concerned, this is one of the major benefits of our paper.
A Raspberry Pi Board, temperature and heartbeat sensors, pi camera, GPS, panic button, and nodemcu controller for interface with heart rate and gps are the
prototype models of the women's safety system. A smart raspberry pi is loaded with a micro USB loader. A 12 volt power source is supplied. Where sensors constantly measure temperature and heart rate. We use three potential circumstances in our initiative to assist women in danger.
We use a temperature sensor and a beat sensor combined with the raspberry pi. The typical human body temperature is 37oC, and the average healthy person's heartbeat rate is 60-100/min. When women are in danger, their body temperature and heartbeat rates rise if the two circumstances reach the threshold level, which indicates that the message is delivered to the family/police/friends automatically.
If we notice anything going strangely, in this situation it also surpasses the threshold above, we utilise another button to convey the message that I am secure. If we use two buttons, the above condition sometimes does not work, it also implies that when women are in danger, we will use a button and then push the SMS, picture and location to send them to the authorities concerned.
Expect this lady is not able to push the button if no above two criteria are satisfied then we use voice data, which is the main benefit for women when she is in danger if she cannot push the button and tell them that the message will be sent to the authorities involved.
Conclusion
The existing procedures are not strong enough to prevent the criminalization of women. The primary aim of the system is quick and cheap cost. This document will enable women to quickly identify with the authorities in question when they are in risk. The method utilised consists of GPS tracking, SMS alerts, picture capture and even usage of audio data. The alert is issued manually as well as automatically. This model may be further developed to create a wearable device. The design may be compacter and lighter to be readily portable and user-friendly.
REFERENCES
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