An IoT based fire alarming and authentication system for workhouse using Raspberry Pi 3

Imteaj, Ahmed; Rahman, Tanveer; Hossain, Muhammad Kamrul; Alam, Sheikh Shamimul; Rahat, Saad Ahmad

doi:10.1109/ecace.2017.7913031

Cited by 74 publications

(28 citation statements)

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“…The control server was implemented using Raspberry Pi and ZigBee modules. Figure 8 shows the control server implemented [24][25][26]. The control server is largely divided into two functions.…”

Section: Control Server For Fire Fighting Centermentioning

confidence: 99%

Smart Fire Detector utilizing IoT-based Zigbee Sensor

Park

Kim

2022

IJEECS

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<pre>There are several differences between the two types of alarm systems, conventional systems and addressable systems. It is important to carefully determine the introduction of a fire alarm system according to the installation environment. Talking about the main difference relates to how the connected device communicates with the main control panel by sending a signal. Cost is another factor that can be a determinant of your chosen fire alarm system. In this paper, we proposed smart addressable fire detection system. In the proposed system, IoT was used and the network was constructed using ZigBee module. In the configured network, it consists of a local server and a control server. The local server controls the addressing sensor and sends the information obtained from the sensor to the control server. The control server receives data transmitted from the local server and enables quick fire action. In the actual implementation, the local server used the Lycra controller and ZigBee module. In addition, the control server used the Raspberry Pi and ZigBee modules and connected to the Ethernet so that the administrator could monitor or control the local server.</pre>

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Section: Control Server For Fire Fighting Centermentioning

confidence: 99%

Smart Fire Detector utilizing IoT-based Zigbee Sensor

Park

Kim

2022

IJEECS

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“…The RP3 had an ARM processor (ARM Holdings, Cambridge, UK) having 1.2 GHz and 1 GB of LPDDR2 RAM (Low-Power Double Data Rate Synchronous Dynamic Random Access Memory). This widely popular board is used in several applications such as image processing [28] and IoT (Internet of Things) systems [29]. Both Sensor1 and Sensor2 had the same I2C address.…”

Section: Designed Hardware Sensing Systemmentioning

confidence: 99%

A Cost-Effective and Portable Optical Sensor System to Estimate Leaf Nitrogen and Water Contents in Crops

Habibullah

Mohebian

Soolanayakanahally

et al. 2020

Sensors

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Non-invasive determination of leaf nitrogen (N) and water contents is essential for ensuring the healthy growth of the plants. However, most of the existing methods to measure them are expensive. In this paper, a low-cost, portable multispectral sensor system is proposed to determine N and water contents in the leaves, non-invasively. Four different species of plants—canola, corn, soybean, and wheat—are used as test plants to investigate the utility of the proposed device. The sensor system comprises two multispectral sensors, visible (VIS) and near-infrared (NIR), detecting reflectance at 12 wavelengths (six from each sensor). Two separate experiments were performed in a controlled greenhouse environment, including N and water experiments. Spectral data were collected from 307 leaves (121 for N and 186 for water experiment), and the rational quadratic Gaussian process regression (GPR) algorithm was applied to correlate the reflectance data with actual N and water content. By performing five-fold cross-validation, the N estimation showed a coefficient of determination ( R 2 ) of 63.91% for canola, 80.05% for corn, 82.29% for soybean, and 63.21% for wheat. For water content estimation, canola showed an R 2 of 18.02%, corn showed an R 2 of 68.41%, soybean showed an R 2 of 46.38%, and wheat showed an R 2 of 64.58%. The result reveals that the proposed low-cost sensor with an appropriate regression model can be used to determine N content. However, further investigation is needed to improve the water estimation results using the proposed device.

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“…IoT relies on universal device addressing on devices, so they are easy to control and use for certain purposes. One of IoT implementations is in the case of early detection such as flood disasters [7] [8], fires [9], and or disorder such as theft [10] or robbery [11]. Figure 2 shows that IoT Framework can be installed on various sensor devices that have an IP address.…”

Section: Internet Of Thingsmentioning

confidence: 99%

Dissemination Application for Early Warning in a Community

Fahrudin

Kastaman

2020

IJAIT

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The development of sensor technology for early warning at an affordable price makes it possible to be implemented in the community. Therefore, an application is needed to send this early warning information to community members and warning response centers in real-time by considering the distance from the location of the incident. So, in this research, we proposed a dissemination application for early warning in a community (DissApps). The application was build using Code Igniter Framework, MySQL database, Mapquests, and Wablas API. This application can be used for disseminating emergency response situations such as thievery, a natural disaster such as earthquake, flood, forest fire.

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An IoT based fire alarming and authentication system for workhouse using Raspberry Pi 3

Cited by 74 publications

References 1 publication

Smart Fire Detector utilizing IoT-based Zigbee Sensor

Smart Fire Detector utilizing IoT-based Zigbee Sensor

A Cost-Effective and Portable Optical Sensor System to Estimate Leaf Nitrogen and Water Contents in Crops

Dissemination Application for Early Warning in a Community

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