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353476

A Low-Cost Approach for Drowning Detection and Alertness

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Last updated: 05 Jan 2025

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Abstract

In this paper, a unique approach has been developed to detect drowning by using a chest area belt equipped with a pressure sensor to monitor the breathing rate of the person wearing the belt. Additionally, MPU6050 module has been used to measure the cumulative displacement to track the swimmer's movement. These sensors have been integrated with a Remotexy application and a GSM module to create an SMS message that alerts lifeguards when someone is in danger of drowning. The chest area belt is equipped with carbon resistors that are sensitive to pressure changes, allowing us to monitor the breathing rate of the person wearing the belt. By monitoring the breathing rate, we can detect when a swimmer is in distress and alert lifeguards to the potential drowning. To track the swimmer's movement, an MPU6050 has been used, which is a motion sensor that measures the cumulative displacement of the person wearing the belt. This data is then integrated with a Remotexy application and a GSM module to create an SMS message that is sent to lifeguards when someone is in danger of drowning.

DOI

10.21608/ejai.2024.223796.1012

Keywords

drowning detection, esp32, chest tracker, Breathing Rate, Pressure Sensor

Authors

First Name

Mostafa

Last Name

Ibrahim

MiddleName

A.

Affiliation

Dept. of Embedded Network Systems Technology, Faculty of Artificial Intelligence, Kafrelsheikh University, Egypt

Email

ma4817334@gmail.com

City

-

Orcid

-

First Name

Manal

Last Name

Ali

MiddleName

E.

Affiliation

Dept. of Physics and Engineering Mathematics, Faculty of Engineering, Kafrelsheikh University, Egypt.

Email

manal.ali@eng.kfs.edu.eg

City

Kafrelsheikh

Orcid

-

First Name

Mostafa

Last Name

Ahmed

MiddleName

N.

Affiliation

Dept. of Embedded Network Systems Technology, Faculty of Artificial Intelligence, Kafrelsheikh University, Egypt

Email

desham8@gmail.com

City

-

Orcid

-

First Name

Kareem

Last Name

Mohamed

MiddleName

A.

Affiliation

Dept. of Embedded Network Systems Technology, Faculty of Artificial Intelligence, Kafrelsheikh University, Egypt

Email

karem123ahmed45@gmail.com

City

-

Orcid

-

First Name

Ali

Last Name

Ali

MiddleName

I.

Affiliation

Dept. of Embedded Network Systems Technology, Faculty of Artificial Intelligence, Kafrelsheikh University, Egypt

Email

aliawad341@gmail.com

City

-

Orcid

-

First Name

Ahmed

Last Name

Elsayed

MiddleName

M.

Affiliation

Dept. of Embedded Network Systems Technology, Faculty of Artificial Intelligence, Kafrelsheikh University, Egypt

Email

aoka66766@gmail.com

City

-

Orcid

-

First Name

Hossam

Last Name

AbdElHalim

MiddleName

H.

Affiliation

Dept. of Embedded Network Systems Technology, Faculty of Artificial Intelligence, Kafrelsheikh University, Egypt

Email

hosamana67hg@gmail.com

City

-

Orcid

-

First Name

Mona

Last Name

Alnaggar

MiddleName

-

Affiliation

Dept. of Robotics and Intelligent Machines, Faculty of Artificial Intelligence, Kafrelsheikh University, Egypt.

Email

mona.alnaggar@ai.kfs.edu.eg

City

Mansoura

Orcid

0000-0001-8155-8089

First Name

Abdelmawla

Last Name

Yousef

MiddleName

-

Affiliation

Dept. of Embedded Network Systems Technology, Faculty of Artificial Intelligence, Kafrelsheikh University, Egypt

Email

abdelmawla_yossef@ai.kfs.edu.eg

City

-

Orcid

-

First Name

Ali

Last Name

Siam

MiddleName

-

Affiliation

Dept. of Embedded Network Systems Technology, Faculty of Artificial Intelligence, Kafrelsheikh University, Egypt

Email

ali.siam@ai.kfs.edu.eg

City

-

Orcid

0000-0002-7242-5281

Volume

3

Article Issue

1

Related Issue

47526

Issue Date

2024-05-01

Receive Date

2023-07-18

Publish Date

2024-05-01

Print ISSN

2786-0205

Online ISSN

2786-0213

Article File

EJAI3534761714510800.pdf

PDF . 613.2kB

Link

https://ejai.journals.ekb.eg/article_353476.html

Detail API

https://ejai.journals.ekb.eg/service?article_code=353476

Order

353,476

Type

Original Article

Type Code

1,898

Publication Type

Journal

Publication Title

Egyptian Journal of Artificial Intelligence

Publication Link

https://ejai.journals.ekb.eg/

MainTitle

A Low-Cost Approach for Drowning Detection and Alertness

Details

Type

Article

Created At

28 Dec 2024