Manuscript Number : CSEIT2173301

IOT based Toxic Gas Detector in Sewage

Authors(4) :-Sudupthi. N, Vaishnavee. P, Vijaya Dharshini. C, Shanmugapriya. S

Effluents around the IOT system and network that detects toxic gases has been developed as a measure to help sanitation staff who risk their life to ensure reduced health hazards due to toxic contaminants. This paper attempts to device an IOT technology that shall detect the mixture of gases ,sensing each type of gas to measure its level while keeping track of the real time dynamic changes ,it shall send an alert through a buzzer ,who are remotely located. In addition the device offers live streaming of level gases in ThingSpeak.

Authors and Affiliations

Sudupthi. N
UG Scholar, Department of CSE, School of Engineering, Avinashilingam Institute for Home Science and Higher Education for Women, Coimbatore, Tamil Nadu, India
Vaishnavee. P
UG Scholar, Department of CSE, School of Engineering, Avinashilingam Institute for Home Science and Higher Education for Women, Coimbatore, Tamil Nadu, India
Vijaya Dharshini. C
UG Scholar, Department of CSE, School of Engineering, Avinashilingam Institute for Home Science and Higher Education for Women, Coimbatore, Tamil Nadu, India
Shanmugapriya. S
Assistant Professor, Department of CSE, School of Engineering, Avinashilingam Institute for Home Science and Higher Education for Women, Coimbatore, Tamil Nadu, India

Sewage, Detector, Gas Sensor ,LCD, Microcontroller (Arduino IDE), buzzer, WiFi Module, Cloud ThingSpeak

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Publication Details

Published in : Volume 7 | Issue 3 | May-June 2021
Date of Publication : 2021-06-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 646-653
Manuscript Number : CSEIT2173301
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Sudupthi. N, Vaishnavee. P, Vijaya Dharshini. C, Shanmugapriya. S, "IOT based Toxic Gas Detector in Sewage ", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 7, Issue 3, pp.646-653, May-June-2021. |          | BibTeX | RIS | CSV

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