Survey on Home Automation Using Raspberry Pi through GSM

Home automation has achieved a lot of popularity in recent years, as day-to-day life is getting simpler due to the rapid growth of technology. Almost everything has become digitalized and automatic. In this paper, a system for interconnecting sensors, actuators, and other data sources with the purpose of multiple home automations is proposed. The system is called qToggle and works by leveraging the power of a flexible and powerful Application Programming Interface (API), which represents the foundation of a simple and common communication scheme. The devices used by qToggle are usually sensors or actuators with an upstream network connection implementing the qToggle API. Most devices used by qToggle are based on ESP8266/ESP8285 chips and/or on Raspberry Pi boards. A smartphone application has been developed that allows users to control a series of home appliances and sensors. The qToggle system is user friendly, flexible, and can be further developed by using different devices and add-ons.

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Home Automation System with Raspberry Pi

2020 7th International Conference on Energy Efficiency and Agricultural Engineering (EE&AE) ◽

10.1109/eeae49144.2020.9278998 ◽

2020 ◽

Author(s):

Nikolay Valov ◽

Irena Valova

Keyword(s):

Raspberry Pi ◽

Automation System ◽

Home Automation ◽

Home Automation System

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ANDROID BASED HOME AUTOMATION USING RASPBERRY PI

International Journal of Advance Engineering and Research Development ◽

10.21090/ijaerd.58329 ◽

2017 ◽

Vol 4 (06) ◽

Keyword(s):

Raspberry Pi ◽

Home Automation

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SISTEM OTOMASI RUANGAN DENGAN RASPBERRY PI BERBASIS MOBILE WEB STUDI KASUS: (LEMBAGA KURSUS CODY APP ACADEMY)

JURNAL TEKNIK INFORMATIKA ◽

10.15408/jti.v11i1.6261 ◽

2018 ◽

Vol 11 (1) ◽

pp. 55-66

Author(s):

Aditya Mirza Bahari ◽

Nenny Anggraini ◽

Siti Ummi Masruroh

Keyword(s):

Control System ◽

Secondary Data ◽

Raspberry Pi ◽

Automation System ◽

Home Automation ◽

Application Development ◽

Mobile Web ◽

Before And After ◽

Home Automation System ◽

The Cost

ABSTRAK Cody App Academy adalah sebuah tempat kursus berbasis teknologi di Bintaro, Jakarta Selatan. Berdasarkan observasi yang dilakukan penulis, Cody masih menerapkan cara manual untuk menyalakan dan mematikan listrik. Selain itu, hasil dari wawancara oleh pengelola Cody, dapat disimpulkan bahwa hal ini berdampak terhadap efisiensi penggunaan arus listrik yang ada di Cody, yang berkaitan langsung dengan besar atau kecilnya tagihan listrik yang harus dibayarkan oleh pengelola Cody. Maka penulis mengusulkan sebuah solusi berupa prototipe Sistem Pengendali Ruangan dengan teknologi motion berbasis mobile web yang merupakan aplikasi yang dapat merubah sistem manual menjadi sebuah sistem home automation. Aplikasi ini akan secara otomatis mematikan arus listrik ketika ruangan sedang kosong, dilihat dari tidak terdeteksinya gerakan dalam rentang waktu lebih dari 10 menit. Metode pengumpulan data yang yang penulis gunakan adalah pengumpulan data primer dan sekunder yang terdiri dari observasi, wawancara dan studi literatur sejenis. Sedangkan untuk metode pengembangan aplikasi adalah prototipe evolusioner dengan 4 tahap yang mencakup analisis kebutuhan pengguna, membuat satu prototipe. Hasil dari penelitian ini adalah penerapan home automation yang berupa Sistem Pengendali Ruangan dengan teknologi motion selama jangka waktu 2 bulan berbasis mobile web terbukti membuat penggunaan listrik di Cody lebih efisien berdasarkan perbandingan tagihan listrik sebelum dan sesudah menggunakan sistem yang penulis usulkan. Hal ini dapat terlihat dari perubahan signifikan pada biaya listrik yang harus dibayarkan Cody per bulan yakni sejumlah 20% lebih efisien dibandingkan tanpa menggunkan sistem yang penulis usulkan. ABSTRACT Cody App Academy is a technology-based course place in Bintaro, South Jakarta. Based on observations made by the author, Cody is still applying the manual way to turn on and turn off the electricity. In addition, the results of interviews by Cody's managers, it can be concluded that this impacts on the efficiency of the use of electric current in Cody, which is directly related to the large or small bill of electricity that must be paid by the manager of Cody. So the author proposed a solution in the form of prototype Space Control System with motion technology based mobile web which is an application that can change the manual system into a home automation system. This application will automatically turn off the power when the room is empty, judging from the detection of movement in the span of more than 10 minutes. Data collection methods that the author uses is the collection of primary and secondary data consisting of observations, interviews and studies of similar literature. The method of application development is an evolutionary prototype with 4 stages that includes user needs analysis, making a prototype. The result of this research is the implementation of home automation in the form of Room Control System with motion technology for 2 months based on mobile web proved to cause the use of electricity in Cody more efficient based on the ratio of electric bill before and after using the system that the author proposed. This can be seen from the significant change in the cost of electricity that Cody has to pay per month which is 20% more efficient than without using the proposed system. How To Cite : Bahari, A.M. Anggraini, N. Masruroh, S.U. (2018). SISTEM OTOMASI RUANGAN DENGAN RASPBERRY PI BERBASIS MOBILE WEB STUDI KASUS: (LEMBAGA KURSUS CODY APP ACADEMY). Jurnal Teknik Informatika, 11(1), 55-66. doi 10.15408/jti.v11i1.6261 Permalink/DOI: http://dx.doi.org/10.15408/jti.v11i1.6261

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Automation of Home (IoT) using Raspberry Pi

International Journal of Scientific Research in Science Engineering and Technology ◽

10.32628/ijsrset218335 ◽

2021 ◽

pp. 235-239

Author(s):

Prajakta Khairnar ◽

Sukanya Bansode ◽

Balveen Sahota ◽

Priyanka Chourasia

Keyword(s):

Liquid Crystal ◽

Internet Of Things ◽

Liquid Crystal Display ◽

Raspberry Pi ◽

The Internet ◽

Home Automation ◽

Transfer Data ◽

Home Appliances ◽

The Status

Internet of things is the present technology that permits us to control hardware via the internet. Using IOT system, we can link the physical devices and possess the ability to send or transfer data over a network with either human-to-human or human-to-system interaction. This paper explains how to control home appliances using Internet of Things. The microcontroller we are using for this project is Raspberry Pi. The Raspberry Pi is interfaced with Wi-Fi modem for transmitting and receiving commands over the internet. To switch loads, we are using relays. Once the user passes instructions over the internet to switch on the appliance, the raspberry pi processes these commands and operates accordingly. Liquid Crystal Display is used to display the status of the system. Hence, IOT based home automation setup allows us to control home appliances over the internet.

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An Architectural Framework for Facebook Messenger Chatbot Enabled Home Appliance Control System

10.4018/978-1-6684-3694-3.ch041 ◽

2022 ◽

pp. 842-858

Author(s):

Segun Aina ◽

Samuel Dayo Okegbile ◽

Perfect Makanju ◽

Adeniran Ishola Oluwaranti

Keyword(s):

Control System ◽

Raspberry Pi ◽

Home Automation ◽

Correct Classification ◽

Home Appliances ◽

Python Language ◽

Control Precision ◽

Development Level ◽

Architectural Framework ◽

Home Appliance

The need to remotely control home appliances is an important aspect of home automation and is now receiving lot of attentions in the literature. The works so far are still at a development level making further research necessary. This article presents a framework for chatbot-controlled home appliance control system and was implemented by programming a Raspberry Pi using the Python language while the chatbot server was also implemented using a Node.js on JavaScript. The Raspberry Pi was connected to the chatbot server via Wi-Fi using a websockets protocol. The chatbot server is linked to Facebook Messenger using the Messenger Application Protocol Interface. Messages received at the chatbot server are analyzed with RasaNLU to classify the user's intention and extract necessary information which are sent over websocket to the connected Raspberry pi. The system was evaluated using control precision and percentage correct classification with both producing a significant level of acceptance. This work produced a Facebook Messenger chatbot-based framework capable of controlling Home Appliances remotely.

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