Open AccessBluetooth Controlled Solar Grass Cutter using IOT Application
Author(s) -
Prof. Kiran Napte,
Pooja Yevale,
Pranali Raje,
Divya Temgire
Publication year - 2022
Publication title -
international journal for research in applied science and engineering technology
Language(s) - English
Resource type - Journals
ISSN - 2321-9653
DOI - 10.22214/ijraset.2022.41258
Subject(s) - bluetooth , android (operating system) , raspberry pi , embedded system , computer science , dc motor , bluetooth low energy , obstacle , phone , real time computing , automotive engineering , computer hardware , electrical engineering , engineering , internet of things , operating system , wireless , linguistics , philosophy , law , political science
The basic project idea is to develop a grass-cutting robot controlled with help of the android application. Here the Bluetooth module is used to connect raspberry pi with the phone and in which the reading of the ultrasonic sensor is stored on IOT platform i.e think speak. Previously the grass cutter machines are operated by fuel which is costly. Here the solar panel is utilised to charge the battery so that it doesn't have to be charged externally .The sun-based energy source is more straightforward to utilize, more profitable contrasted with other energy and it is not difficult to work. By the use of solar panels, we can use sunlight to generate electricity free of cost. The solar panel is used to charge the battery for grass cutting purposes. The movement of the machine is totally controlled by using the Android app. The controlling device of the system is Raspberry pi. Bluetooth module and DC motors are interfaced to the Raspberry pi. The data received from the android phone application by the Bluetooth module is given as an input to the Raspberry pi and the controller acts accordingly on the DC motor of the solar grass cutter. And also here at the input, we have connected an ultrasonic sensor for obstacle detection whenever the obstacle is detected the raspberry pi sends the command to stop the machine in its place and the reading of the ultrasonic sensor is stored on the cloud. Keywords: Raspberry pi, Solar panel, Bluetooth module, Wi-Fi module, Dc motors.