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The revolution in Information Technology(IT) and Artificial Intelligent has provided innovations in diverse kinds of home automation where appliances can be controlled effortlessly and seamlessly .In this paper a review of several home automation technologies was presented and the advantages voice based technology was considered trending among other technologies in terms of flexibility and cost and comfort. In this paper, the conceptual prototype design model and the circuit diagram for controlling multiple home appliances at the same time were presented. The model uses Arduino Uno microcontroller system to control multiple home electrical or electronic appliances with maximum of 5 volts. The design transmits voice command through user wireless microphone (attached to the user cloth) to the intelligence micro controller via graphical user interphase (GUI). The control software developed for the prototype model was implemented using C# programming language, Microsoft Visual Studio.Net and Microsoft Speech recognition system.
In this paper, a voice controlled home automation system based on a wireless network protocol known as Zigbee was applied in achieving a smart home. The design was accomplished using the HM2007 voice recognition chip and 8051 microcontroller kit and relays. Simulations were carried out using Proteus 8 and the programming of the microcontroller using C++. The system was initially in standby mode waiting for an input from the user and once an input is detected, it is analyzed by the speech recognition module. If a known command is detected, the speech recognition system sends respective digital representations to the microcontroller. The microcontroller then interprets these data signals, compares them with a database of stored commands and thus identifies the referred load and its desired state. The processing results are then displayed on the LCD which is primarily used to display the system states. Based on the load state identified, control signals are sent to respective relay circuits, thus actuating the appropriate loads. The simulation results showed that the voice amplitude was directly proportional to the load supply current while at a constant amplitude of 10Volts, the frequency varied between 900Hz and 1200Hz.
— This paper presents the design of the low cost voice recognition based home automation system for the physically challenged people suffering from quadriplegia or paraplegia (who cannot move their limbs but can speak and listen) to control the various home appliances and can actuate the bed elevation just by the voice commands according to their need and comfort. The proposed system consists of a voice recognition module, Arduino uno microcontroller, relay circuit to and an adjustable bed. The voice recognition module needs to be trained first before it can be used to recognize commands. Upon successful recognition of voice command the Arduino drives the corresponding load with the help of the relay circuit. The adjustable bed elevation can be set to the three different modes as per the user comfort and need. The accuracy of voice recognition module is also measured in different conditions. The experimental results validate the functions of the proposed system. The results show the system can provide great assistant to the physically challenged people without any third person's assistances. Index Terms— Home Automation System, Physically Challenged People, Voice Recognition Module V3, Arduino Uno, Adjustable Bed Motorized Jack.
— This paper presents the design of the low cost voice recognition based home automation system for the physically challenged people suffering from quadriplegia or paraplegia (who cannot move their limbs but can speak and listen) to control the various home appliances and can actuate the bed elevation just by the voice commands according to their need and comfort. The proposed system consists of a voice recognition module, Arduino uno microcontroller, relay circuit to and an adjustable bed. The voice recognition module needs to be trained first before it can be used to recognize commands. Upon successful recognition of voice command the Arduino drives the corresponding load with the help of the relay circuit. The adjustable bed elevation can be set to the three different modes as per the user comfort and need. The accuracy of voice recognition module is also measured in different conditions. The experimental results validate the functions of the proposed system. The results show the system can provide great assistant to the physically challenged people without any third person's assistances. Index Terms— Home Automation System, Physically Challenged People, Voice Recognition Module V3, Arduino Uno, Adjustable Bed Motorized Jack.
The World Academy of Research in Science and Engineering
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