📞 +91-7667918914 | ✉️ ijarcce@gmail.com
IJARCCE Logo
International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 12, ISSUE 2, FEBRUARY 2023

“SCUTTLE NURTURE: IOT AND DEEP LEARNING BASED MANHOLE, SEWAGE DETECTION MONITORING SYSTEM”

CHETANA SRINIVAS, SHALINI R, KUSUMA G, NETHRA B M, MONISHA N

DOI: 10.17148/IJARCCE.2023.12234

Abstract: The city must be kept clean by maintaining the sewage system. Drainage obstructions are caused by irregular sewage system monitoring. Flooding and pollution in the sewers are frequently brought on by blocked sewer systems. Due to their lack of knowledge about the conditions inside the manhole, workers run the risk of being hurt in an accident. Utilized in this model include Regulator circuits, sensor driver circuits, microcontrollers, serial communication devices, and IoT modules are all utilised to receive the required output from the IoT module. One of the most common issues with the sewage system is overflowing drains, which gets worse during rainy seasons during which the authorities are not aware of the backed-up drains. It leads to waterlogging, which breeds bugs, and is unhealthy for the nearby population.

Keywords: Internet of Things, sensors, motion detection, garbage overflow detection, manhole monitoring

How to Cite:

[1] CHETANA SRINIVAS, SHALINI R, KUSUMA G, NETHRA B M, MONISHA N, ““SCUTTLE NURTURE: IOT AND DEEP LEARNING BASED MANHOLE, SEWAGE DETECTION MONITORING SYSTEM”,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2023.12234