Advanced IOT Technology And Machine Learning Techniques For Monitoring Waterlogging In Underpass
Keywords:
IOT, Machine Learning, WaterloggingAbstract
Due to recent climate change, it has become very difficult to remove large amounts of rain. Flooding of underpasses during heavy rains is a serious problem in any growing city. Due to the weak infrastructure, water accumulation in underground passages is higher than normal. Both drivers and pedestrians are at risk. The situation is made worse by the fact that Google Maps has no information about the water level in the floodplains below. Here, the underground water level will be monitored through the construction of the framework. Once there are underpasses, the foundation will provide a cheap and environmentally friendly way to manage traffic congestion caused by heavy rain. A popular computer technology related to computer vision and image processing is object detection, which looks at objects or instances of specific objects (people, flowers, animals, etc.) in photos and videos. There are many uses for
product search, including analysis and retrieval.
Downloads
References
[1] Deccan Herald home page
[online]
Available:https://www.deccanherald.com/con
tent/434220/underpass-parwater html.,(2018)
[2] Abhishek Rameshbhai Patel, Hemal S.
Parekh “Study of Stormwater Problem at
Akhbarnagar Underpass (Ahmedabad)” in
International Journal of Advance Engineering and
Research Development (IJAERD), (2015) 1-4.
[3] Samiksha Sharma,A Review Paper on the
Internet of Things., in International Journal of
Engineering Research & Technology (IJERT),
5(23)(2017) 1-7.
[4] Pravallika, Devireddy Prathyusha, Srivasa
Kumar, IOT based water level monitoring system
with an android application, in International
journal of recent and Innovation trends in
computing and communication, 6(6)(2018) 94-97.
[5] Gowthamy J, Chinta Rohith Reddy, Pijush
Meher, Saransh Shrivastava, Guddu Kumar.,
Smart Water Monitoring System using IoT, in
International Research Journal of Engineering and
Technology (IRJET), 5(10)(2018) 1-4.
[6] Ujwala Kini H, Tejaswini, Internet of Things
(IoT) A Gateway for Smarter Life, in International
Journal of Engineering Research & Technology
(IJERT), 6(13)(2018) 1-7.
[7] Kamal Patel, Khushboo Patel, Rajvansh
Patel, Kalgi Trivedi, Storm Water Drainage for
Underpass, in International Journal for Innovative
Research Science & Technology, 3(09)(2017).
[8] N. Aishwarya, R. Akila, R. Gayathri, Mr. S.
Dhamodharan., IoT Based Soldier monitoring
System., in SSRG International Journal of
Electronics and Communication Engineering,
Special Issue, (2019) 23-27.
[9] Ali Al Dahoud, Mohammed Fezari,
NodeMCU V3 For Fast IoT Application
Development, (2018).
[10] Melchizedek I. Alipio∗, Jess Ross R.
Bayanay, “Vehicle Traffic and Flood Monitoring
with Reroute System Using Bayesian Networks
Analysis., in 2017 IEEE 6th Global Conference
on Consumer Electronics (GCCE 2017).
[11] Times of India homepage [Online] Available
https://timesofindia.indiatimes.com/city/bengaluru/
bbmp- banks-oninjection-wells-to-preventunderpassflooding/
articleshow/73179057.cms.,
(2020).
[12] Astha Gautam, Anjana Kumari, Pankaj
Singh: "The Concept of Object Recognition",
International Journal of Advanced Research in
Computer Science and Software Engineering,
Volume 5, Issue 3, March 2015
[13] Joseph Redmon, Santosh Divvala, Ross
Girshick, “You Only Look Once: Unified, Real-
Time Object Detection”, The IEEE Conference
on Computer Vision and Pattern Recognition
(CVPR),2016,pp. 779- 788 [14]V. Gajjar, A.
Gurnani and Y. Khandhediya, "Human Detection
and Tracking for Video Surveillance: A Cognitive
Science Approach," in 2017 IEEE International
Conference on Co
