FireDS-IoT: A Fire Detection System for Smart Home Based on IoT Data Analytics

Bhoi, Sourav Kumar; Panda, Sanjaya Kumar; Padhi, Biranchi Narayan; Swain, Manash Kumar; Hembram, Balabhadrah; Mishra, Debasish; Mallick, Chittaranjan; Singh, Munesh; Khilar, Pabitra Mohan

doi:10.1109/icit.2018.00042

Cited by 32 publications

(11 citation statements)

References 16 publications

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“…Another serious problem in agriculture is the occurrence of fires, which frequently occurs due to the burning of materials, flammable gases, electrical circuits, etc. Currently, cost effective fire alert systems or automation for agriculture are less [6]. In order to avoid such disasters, we are designing a smart fire detection system using IOT.…”

Section: Introductionmentioning

confidence: 99%

The Smart Agriculture System Using IOT and ML

Siddhi Vijay Ghadge

2024

jes

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Numerous countries have abundant resources, including land, rivers, groundwater, the environment, with agriculture serving as the primary source of income for many people in country. Nonetheless, resource shortage has grown in recent decades, particularly for groundwater and river water, so remote control smart irrigation system is developed to avoid access use and loss of water in the agriculture. A lack of information about the best use of available resources leads to increased resource consumption and worse crop yields. Choosing crops that are unsuited for the soil or climate reduces both quality and quantity of crop. As a result, system that recommends appropriate crops and fertilizers based on soil NPK values, soil colour, Season, PH, Rainfall, temperature etc has been developed. Fires are one of the most destructive global disasters, thus early detection is necessary to avoid the damages in agriculture. To reduce losses, an automated system capable of early fire detection through alarm systems and prompt extinguishing procedures through the roof structure pipeline in the farm is developed. Another use of that same pipeline is for spraying the pesticides and fertilizers. A potential resolution to address all these challenges involves the development and implementation of an intelligent agricultural system integrating Internet of Things (IOT) and Machine Learning technologies.

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Section: Introductionmentioning

confidence: 99%

The Smart Agriculture System Using IOT and ML

Siddhi Vijay Ghadge

2024

jes

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“…In a broader context, considering the improvement of people’s general well-being, sensors, and IoT systems can be employed to monitor the perceived ambient conditions and eventually operate to set parameters, such as temperature and humidity, according to personal preferences [ 9 , 10 , 11 , 12 ]. Moreover, connected sensor systems also enable health preservation by doing environmental surveillance for safety reasons, for example, by checking constantly for the presence of smoke or toxic substances [ 13 , 14 ] or by performing structural health monitoring [ 15 , 16 ].…”

Section: Introductionmentioning

confidence: 99%

IoT System for Real-Time Posture Asymmetry Detection

Mura

Gregorio

Lamberti

et al. 2023

Sensors

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The rise of the Internet of Things (IoT) has enabled the development of measurement systems dedicated to preventing health issues and monitoring conditions in smart homes and workplaces. IoT systems can support monitoring people doing computer-based work and avoid the insurgence of common musculoskeletal disorders related to the persistence of incorrect sitting postures during work hours. This work proposes a low-cost IoT measurement system for monitoring the sitting posture symmetry and generating a visual alert to warn the worker when an asymmetric position is detected. The system employs four force sensing resistors (FSR) embedded in a cushion and a microcontroller-based read-out circuit for monitoring the pressure exerted on the chair seat. Java-based software performs the real-time monitoring of the sensors’ measurements and implements an uncertainty-driven asymmetry detection algorithm. The shifts from a symmetric to an asymmetric posture and vice versa generate and close a pop-up warning message, respectively. In this way, the user is promptly notified when an asymmetric posture is detected and invited to adjust the sitting position. Every position shift is recorded in a web database for further analysis of the sitting behavior.

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“…Python is the most convenient and effective tool for importing AI algorithms. Bhoi applied Python to design a fire detection system for smart homes, and Nadaf designed a smart mirror by using Raspberry Pi for human monitoring and intrusion detection [19,20]. In the present study, LabVIEW was used along with Python to build smart devices.…”

Section: Introductionmentioning

confidence: 99%

Establishing an AI Model on Data Sensing and Prediction for Smart Home Environment Control Based on LabVIEW

Yao

Huang

et al. 2021

Mathematical Problems in Engineering

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In this study, the authors aimed to realize a smart home using an AI model that can be integrated with the Laboratory Virtual Instrument Engineering Workbench (LabVIEW) application to realize environment control. The collected input data were outdoor temperature, indoor temperature, humidity, illumination, and indoor person count. The output control decisions included control of air conditioners, dehumidifiers, power curtains, and lights. An artificial neural network was utilized to process the input data for machine learning for the objective of achieving a comfortable environment. In addition, the control decision predictions made by this AI model were analyzed for model loss and model accuracy. This study implemented the model. Specifically, LabVIEW was used to design the sensing component, data display, and control interface, and Python was used to establish the intelligent model. Moreover, by using the web publishing tool built into LabVIEW, remote sensing and control were fulfilled in this implementation.

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FireDS-IoT: A Fire Detection System for Smart Home Based on IoT Data Analytics

Cited by 32 publications

References 16 publications

The Smart Agriculture System Using IOT and ML

The Smart Agriculture System Using IOT and ML

IoT System for Real-Time Posture Asymmetry Detection

Establishing an AI Model on Data Sensing and Prediction for Smart Home Environment Control Based on LabVIEW

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