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Automated Grasscutter Using Voice Recognition

Nasir, Muhamad Salihin (2018) Automated Grasscutter Using Voice Recognition. Project Report. UTeM, Melaka, Malaysia. (Submitted)

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Abstract

Grasscutter without a doubt is one of the important home appliances especially among the country side. The existing grasscutter machine in agriculture field usually using kerosene as their fuel source to operate the machine. However, by using fuel source, combustion process will occur and will pollute the environment with toxic gas which can lead to thinning of ozone layer and disease. Moving to improvement of grasscutter machine, we can conclude that with the improvement of the machines comes greater prices. This will make the people comes hard to buy the expensive one. Due to the high price, many people will buy the cheaper machines which they can afford. This can be seen easily in Malaysia where we can see many people will use the string trimmer to cut the grass. The string trimmer is a semi manual machines which requires humans to use it to cut the grass. The machines are quite heavy and after a period of time using the machines; it will lead to shaking and back-ache of the user. This will lead to serious safety issues. The idea of controlling a grasscutter machines is quite simple with the use of arduino and some electrical devices. The grasscutter machines is control by Arduino which control the directions to moves forward,backward,right,left and stop. The control of direction is being help with the use of L298N motor driver which receive the signal from the arduino to control the direction of the motor. Besides, it use a simple voice recognition that all user can et from Google Playstore to communicate with the grasscutter machines. The motor have two roles in this system which is to control the direction of grasscutter and also the cutting process of the machines. At last, the goal of creating this grasscutter machines is to create a low cost machines where all people can buy it thus preventing a health issues to the user and also creating a low budget grasscutter machines where all user can afford.

Item Type: Final Year Project (Project Report)
Uncontrolled Keywords: Automatic speech recognition, Automatic speech recognition - Data processing, Control theory
Subjects: T Technology > T Technology (General)
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Library > Final Year Project > FTKEE
Depositing User: Ahmad Tarmizi Abdul Hadi
Date Deposited: 10 Feb 2020 03:41
Last Modified: 10 Feb 2020 03:41
URI: http://digitalcollection.utem.edu.my/id/eprint/24221

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