IOT based solution for level detection using CNN and OpenCV

Durvesh Pathak; Raghavan Naresh Sarangapani; Dewant Katare; Akash Sunil Gaikwad; Mohamed El-Sharkawy

IOT based solution for level detection using CNN and OpenCV

Durvesh Pathak, Raghavan Naresh Sarangapani, Dewant Katare, Akash Sunil Gaikwad, Mohamed El-Sharkawy

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

Abstract

Internet of Things (IoT) is currently an emerging trend in the industry and is proving to be the driving force in the field of research and development. Due to a growing demand in industries for a cloud-based solution and easy integration with existing hardware devices, IoT has become a popular choice among all verticals of industry: Engineering, Manufacturing, Accounts, Supply Chain and many more. This paper was a result of a project whose requirement was realtime detection for liquid levels in a chemical plants using a wireless GoPro Camera. The most obvious choice was OpenCV, and this would have been the most common solution. But a complete IOT based solution is proposed that would not only detect level but will also provide additional features like cloud storage, alert messages and Convolutional Neural Network (CNN) based level corrections

Original language	English
Title of host publication	Proceedings on the International Conference on Internet Computing (ICOMP)
Pages	83-87
Number of pages	5
Publication status	Published - 2018
Externally published	Yes

Cite this

@inproceedings{646d2908b85e4e5080e30cb67897ec85,

title = "IOT based solution for level detection using CNN and OpenCV",

abstract = "Internet of Things (IoT) is currently an emerging trend in the industry and is proving to be the driving force in the field of research and development. Due to a growing demand in industries for a cloud-based solution and easy integration with existing hardware devices, IoT has become a popular choice among all verticals of industry: Engineering, Manufacturing, Accounts, Supply Chain and many more. This paper was a result of a project whose requirement was realtime detection for liquid levels in a chemical plants using a wireless GoPro Camera. The most obvious choice was OpenCV, and this would have been the most common solution. But a complete IOT based solution is proposed that would not only detect level but will also provide additional features like cloud storage, alert messages and Convolutional Neural Network (CNN) based level corrections ",

author = "Durvesh Pathak and Sarangapani, {Raghavan Naresh} and Dewant Katare and Gaikwad, {Akash Sunil} and Mohamed El-Sharkawy",

year = "2018",

language = "English",

pages = "83--87",

booktitle = "Proceedings on the International Conference on Internet Computing (ICOMP)",

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T1 - IOT based solution for level detection using CNN and OpenCV

AU - Pathak, Durvesh

AU - Sarangapani, Raghavan Naresh

AU - Katare, Dewant

AU - Gaikwad, Akash Sunil

AU - El-Sharkawy, Mohamed

PY - 2018

Y1 - 2018

N2 - Internet of Things (IoT) is currently an emerging trend in the industry and is proving to be the driving force in the field of research and development. Due to a growing demand in industries for a cloud-based solution and easy integration with existing hardware devices, IoT has become a popular choice among all verticals of industry: Engineering, Manufacturing, Accounts, Supply Chain and many more. This paper was a result of a project whose requirement was realtime detection for liquid levels in a chemical plants using a wireless GoPro Camera. The most obvious choice was OpenCV, and this would have been the most common solution. But a complete IOT based solution is proposed that would not only detect level but will also provide additional features like cloud storage, alert messages and Convolutional Neural Network (CNN) based level corrections

AB - Internet of Things (IoT) is currently an emerging trend in the industry and is proving to be the driving force in the field of research and development. Due to a growing demand in industries for a cloud-based solution and easy integration with existing hardware devices, IoT has become a popular choice among all verticals of industry: Engineering, Manufacturing, Accounts, Supply Chain and many more. This paper was a result of a project whose requirement was realtime detection for liquid levels in a chemical plants using a wireless GoPro Camera. The most obvious choice was OpenCV, and this would have been the most common solution. But a complete IOT based solution is proposed that would not only detect level but will also provide additional features like cloud storage, alert messages and Convolutional Neural Network (CNN) based level corrections

M3 - Conference contribution

SP - 83

EP - 87

BT - Proceedings on the International Conference on Internet Computing (ICOMP)

ER -

IOT based solution for level detection using CNN and OpenCV

Abstract

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