Smart Home automation system using IR, bluetooth, GSM and android

Shinde, Anuja; Kanade, Shobha; Jugale, Namrata; Gurav, Abhijeet; Vatti, Rambabu; Patwardhan, M. M.

doi:10.1109/iciip.2017.8313770

Cited by 41 publications

(9 citation statements)

References 1 publication

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“…There are two interface screens of the app. The use of the mobile app is to control the device using the Bluetooth communication channel and can be operatable using the mobile app interfaces (34)(35)(36)(37)(38)(39)(40). The wireless channel enables the message transfer from mobile to operate the device using the host program running on the raspberry pi and client program on the android app.…”

Section: Smart Device Controlmentioning

confidence: 99%

An Artificial Intelligence Approach for Expurgating Edible and Non-Edible Items

Kumar

Bansal

Alroobaea

et al. 2022

Front. Public Health

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In the pandemic of COVID-19, it is crucial to consider the hygiene of the edible and nonedible things as it could be dangerous for our health to consume infected things. Furthermore, everything cannot be boiled before eating as it can destroy fruits and essential minerals and proteins. So, there is a dire need for a smart device that could sanitize edible items. The Germicidal Ultraviolet C (UVC) has proved the capabilities of destroying viruses and pathogens found on the surface of any objects. Although, a few minutes exposure to the UVC can destroy or inactivate the viruses and the pathogens, few doses of UVC light may damage the proteins of edible items and can affect the fruits and vegetables. To this end, we have proposed a novel design of a device that is employed with Artificial Intelligence along with UVC to auto detect the edible items and act accordingly. This causes limited UVC doses to be applied on different items as detected by proposed model according to their permissible limit. Additionally, the device is employed with a smart architecture which leads to consistent distribution of UVC light on the complete surface of the edible items. This results in saving the health as well as nutrition of edible items.

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Section: Smart Device Controlmentioning

confidence: 99%

An Artificial Intelligence Approach for Expurgating Edible and Non-Edible Items

Kumar

Bansal

Alroobaea

et al. 2022

Front. Public Health

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“…A variation of bluetooth smart home may also come in having a smart grid wherein, it also has capabilities to harvest energy [13]. The system may also different kinds sensor like fire, light and motion sensors to help to check appliances that uses excessive energy [14]. It could also be a sensors like ultrasonic and soil moisture sensors to help check the garden and irrigation system [15].…”

Section: Review Of Related Literaturementioning

confidence: 99%

A Rough Set Based System for Analyzing Databases

Africa¹,

Manuel²,

Ligayo³

et al. 2019

IJRTE

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Internet of Things or IOT is the future of technological automation that helps everyday living easier. An application of IOT is for building or home automation. With regards to which parts of the building, creating a smart lighting and ventilation system is one way to implement IOT. This paper aims to create a system model for smart home lights and ventilation systems where they can be monitored and controlled wirelessly with Bluetooth connection. The main controller of the lights and mechanical ventilation is the Arduino microcontroller which has a Bluetooth module that would transmit and receive signals to the end-device which is a mobile phone. The mobile phone is equipped with an application that monitors the status and allows the user to control the lights and ventilation. The group was able to create a system model for lights and ventilation control and status monitoring using a mobile device, which connects to the microcontrollers through Bluetooth connectivity in a full-duplex connection. These systems have databases, the Rough Set Theory was used to analyze them.

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“…Relevant research [8][9][10][11] has supported similar ideas but implemented the ideas by using ZigBee or Bluetooth as a network interface; however, the implemented systems cannot connect to the Internet because of the lack of Internet protocol support. Shinde et al [12] proposed that IR signals could be controlled through GSM (Global System for Mobile Communications; 2G telecommunication technology) networks; compared with our implementation, however, the controlled target is merely a lamp connecting to an Arduino board.…”

Section: Introductionmentioning

confidence: 99%

An Implementation of Hardware-Accelerated Serial Interface of IoT Gateway for Enabling Machine-Type Communication: A Case Study of Networking IR Controllable Home Appliances

Tsai

Zhu

Huang

et al. 2019

Journal of Computer Networks and Communications

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In this paper, we propose an implementation of machine-type communications by combining a novel hardware-accelerated serial interface and a conventional Internet of things (IoT) gateway. Even all home appliances with an infrared (IR) remote controller can be operated through the Internet. In the future, application paradigms will transfer from human-type communications to machine-type communications to provide services such as health care and smart-home control systems. erefore, commercial IoT gateways are required for intranet-Internet bridging of various wireless access services. Home appliances that are currently used or will foreseeably be used in the future lack network capabilities but can be controlled by an IR remote controller. Accordingly, to leverage existing IR control capabilities, we implemented a smart-home control system, which enables an IR signal to be remotely controlled to emit through the Internet. e implemented system provides a hardware-accelerated serial interface to sample IR signals-including extremely high-frequency signals-and includes a hardware-based data compression mechanism able to reduce the size of oversampled data and save flash memory space. A more intelligent control style can thus be realized by leveraging existing home appliances for the smart-homes of the future.

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Smart Home automation system using IR, bluetooth, GSM and android

Cited by 41 publications

References 1 publication

An Artificial Intelligence Approach for Expurgating Edible and Non-Edible Items

An Artificial Intelligence Approach for Expurgating Edible and Non-Edible Items

A Rough Set Based System for Analyzing Databases

An Implementation of Hardware-Accelerated Serial Interface of IoT Gateway for Enabling Machine-Type Communication: A Case Study of Networking IR Controllable Home Appliances

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