Protect and Prevention of the People from Drowning In Swimming Pool Using Automated Vision-Based Surveillance System
Abstract
Nowadays swimming
pools are everywhere, Like in homes, restaurant, clubs. There will be lifeguard
at every pool and many swimmers in the swimming pool also, but after that also
there are many number of drowning incidents. And the numbers are increasing day
by day. To protect the people from drowning in swimming pool, we are using
machine learning and mesh lifting system to prevent drowning incidents. The
system will contain a mesh which will help the drowning person to lift up in
the water, this mesh movement will be controlled by the stepper motors which
are connected to the Arduino Nano board, and there will be buzzer that will
alert the people near swimming pool and. The drowning person is detected
machine learning, using pi camera underwater which is trained to detect these
kind of situations, the pi camera is connected to the Raspberry pi, this system
is used to monitor the swimming pool, track swimmers in that, if any person is
in drowning condition raspberry pi will detect it and it will send command to
Arduino nano board to lift the mesh up. With the help of stepper motors the
mesh will lift up along with the drowning person.
Country : India
1 Dr Jayaprakash Chinnadurai
Professor, Department of Computer Science and Engineering, Malla Reddy College of Engineering for Women, Hyderabad -500100, Telangana, India
A Novel Camera-Based Drowning
Detection Algorithm Chi Zhang ( Xiaoguang Li, and Fei Lei College of Electronic
Information and Control Engineering, Beijing University of Technology, Beijing,
China 120212zc@emails.bjut.edu.cn
International Journal of Mechanical
Engineering and Technology (IJMET) Volume 10, Issue 01, January 2019, pp.
1987-1995, Article ID: IJMET_10_01_194 Available online at
http://www.iaeme.com/ijmet/issues.asp?JType=IJMET&VTy pe=10&IType=01
ISSN Print: 0976-6340 and ISSN Online: 0976-6359
An automatic drowning detection
surveillance system for challenging outdoor pool environments How-Lung Eng,
Kar- Ann Toh, Alvin H. Kam, Junxian Wang and Wei-Yun Yau Institute for Infocomm
Research 21 Heng Mui Keng Terrace.
An Automatic Video-based Drowning
Detection System for Swimming Pools Using Active Contours I.J. Image, Graphics
and Signal Processing, 2016, 8, 1-8 Published Online August 2016 in MECS
(http://www.mecs-press.org/)DOI: 10.5815/ijigsp.2016.08.01
