Home automated system using Bluetooth and an android application

Amoran, Abiodun Ernest; Oluwole, Ayodele S.; Fagorola, Enitan O.; Diarah, Reuben

doi:10.1016/j.sciaf.2021.e00711

Cited by 37 publications

(16 citation statements)

References 4 publications

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“…The HC-05 requires a supply voltage of 3.6VDC to 6VDC to operate, but the RXD pin's logic level is 3.3 V and is not 5 V tolerant. [7] The Bluetooth module is connected to the Arduino-Uno board. Steps 1-3 were used to connect the Arduino-Uno and the Bluetooth module so that the mobile application could co mmunicate with the Arduino -Uno.…”

Section: Bluetooth Module (Hc-05)mentioning

confidence: 99%

A Low Cost Health Monitoring System by Maintaining Covid 19 Protocol

Gaikwad¹,

Gadgil²,

Chandekar

2022

2022 6th International Conference on Trends in Electronics and Informatics (ICOEI)

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S ocial isolation and home quarantining have been standard procedures around the world, since the outbreak of the novel coronavirus (COVID-19) sickness pandemic. Due to the spread of the COVID-19 disease, patients' remote monitoring becomes even more important in this situation. There are two reasons for this: (i) They must be kept alive and their symptoms under control; (ii) they must not leave the quarantined region throughout the quarantine time. This work presents a low-cost method for sensing patients' the physiological characteristics and displaying them on an Android-based mobile application. The Arduino UNO, a DHT11 Humidity Temperature Sensor sensor device, and HC-05 Bluetooth module were carried out to make up the system. A sensor was included in the system to capture the physiological health parameters of patients automatically. As a result, the patients can be remotely observed using the suggested method from a safe distance, avoiding direct contact and adhering to social distancing procedures. It was developed using free available online platform for developing mobile application is MIT inventor-2. Thus, even at the most difficult stage of the COVID-19 epidemic, increased health and a comfortable lifestyle can be accomplished.

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Section: Bluetooth Module (Hc-05)mentioning

confidence: 99%

A Low Cost Health Monitoring System by Maintaining Covid 19 Protocol

Gaikwad¹,

Gadgil²,

Chandekar

2022

2022 6th International Conference on Trends in Electronics and Informatics (ICOEI)

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“…An efficient smart home automation system is described as a set of methods intended to make a traditional home intelligent through the use of IoT technologies for enhanced home security [32], energy efficiency [12], remote control of home appliances [16,33], comfort [34], convenience, and detection of movement in the house [27].…”

Section: Motivation and Conceptualizationmentioning

confidence: 99%

Internet of Things-Based Intelligent Smart Home Control System

Taiwo

Ezugwu

2021

Security and Communication Networks

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The smart home is now an established area of interest and research that contributes to comfort in modern homes. With the Internet being an essential part of broad communication in modern life, IoT has allowed homes to go beyond building to interactive abodes. In many spheres of human life, the IoT has grown exponentially, including monitoring ecological factors, controlling the home and its appliances, and storing data generated by devices in the house in the cloud. Smart home includes multiple components, technologies, and devices that generate valuable data for predicting home and environment activities. This work presents the design and development of a ubiquitous, cloud-based intelligent home automation system. The system controls, monitors, and oversees the security of a home and its environment via an Android mobile application. One module controls and monitors electrical appliances and environmental factors, while another module oversees the home’s security by detecting motion and capturing images. Our work uses a camera to capture images of objects triggered by their motion being detected. To avoid false alarms, we used the concept of machine learning to differentiate between images of regular home occupants and those of an intruder. The support vector machine algorithm is proposed in this study to classify the features of the image captured and determine if it is that of a regular home occupant or an intruder before sending an alarm to the user. The design of the mobile application allows a graphical display of the activities in the house. Our work proves that machine learning algorithms can improve home automation system functionality and enhance home security. The work’s prototype was implemented using an ESP8266 board, an ESP32-CAM board, a 5 V four-channel relay module, and sensors.

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“…Arduino BT board was connected with home appliance and it was controlled by a Symbian OS cell phone application [7]. Similarly, another study presented home automation system using Bluetooth and android application [8]. However, this was designed only for 4 lights and it was not feasible to control more than 4 Home appliances.…”

Section: Introductionmentioning

confidence: 99%

Untitled

2021

International Journal of Innovative Research in Electrical, Ele

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Home automated system using Bluetooth and an android application

Cited by 37 publications

References 4 publications

A Low Cost Health Monitoring System by Maintaining Covid 19 Protocol

A Low Cost Health Monitoring System by Maintaining Covid 19 Protocol

Internet of Things-Based Intelligent Smart Home Control System

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