A MULTI-AGENT HOME AUTOMATION SYSTEM FOR POWER MANAGEMENT

This paper reviews basically about Bluetooth based home automation system. It is controlled by PIC microcontroller. Home automation can be defined as the ability to perform tasks automatically and monitor or change status remotely. These include tasks such as turning off lights in the room, locking doors via smartphone, automate air condition systems and appliances which help in the kitchen. Now a days several wireless devices are available such as Bluetooth, Zigbee and GSM. Since Bluetooth is low in cost than the other two and hence is used more. In this paper we have described the methods of automating different home appliances using Bluetooth and pic microcontroller. Different sensors are involved in this system to advance and make it smarter. Sensors such as temperature sensor, liquid sensors, humidity sensor etc. can be used.

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Design Of A Voice Controlled Home Automation System Using Deep Learning Convolutional Neural Network (DL-CNN)

Telekontran : Jurnal Ilmiah Telekomunikasi, Kendali dan Elektronika Terapan ◽

10.34010/telekontran.v8i1.3078 ◽

2020 ◽

Vol 8 (1) ◽

pp. 57-73

Author(s):

Lery Sakti Ramba

Keyword(s):

Deep Learning ◽

Speech Recognition ◽

Background Noise ◽

Electronic Devices ◽

Recognition System ◽

Background Intensity ◽

Automation System ◽

Home Automation ◽

Speech Recognition System ◽

Home Automation System

The purpose of this research is to design home automation system that can be controlled using voice commands. This research was conducted by studying other research related to the topics in this research, discussing with competent parties, designing systems, testing systems, and conducting analyzes based on tests that have been done. In this research voice recognition system was designed using Deep Learning Convolutional Neural Networks (DL-CNN). The CNN model that has been designed will then be trained to recognize several kinds of voice commands. The result of this research is a speech recognition system that can be used to control several electronic devices connected to the system. The speech recognition system in this research has a 100% success rate in room conditions with background intensity of 24dB (silent), 67.67% in room conditions with 42dB background noise intensity, and only 51.67% in room conditions with background intensity noise 52dB (noisy). The percentage of the success of the speech recognition system in this research is strongly influenced by the intensity of background noise in a room. Therefore, to obtain optimal results, the speech recognition system in this research is more suitable for use in rooms with low intensity background noise.

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An IoT-Based Smart Home Automation System

Sensors ◽

10.3390/s21113784 ◽

2021 ◽

Vol 21 (11) ◽

pp. 3784

Author(s):

Cristina Stolojescu-Crisan ◽

Calin Crisan ◽

Bogdan-Petru Butunoi

Keyword(s):

Application Programming Interface ◽

Smartphone Application ◽

Raspberry Pi ◽

Automation System ◽

Home Automation ◽

Network Connection ◽

Communication Scheme ◽

Application Programming ◽

Home Automation System ◽

User Friendly

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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