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Research Paper | Electrical & Electronics Engineering | India | Volume 9 Issue 5, May 2020
A Fully Automated Lawn Cutter Using Solar Panel
Solar Energy, Solar Panel, NodeMCU Microcontroller ESP32, Ultrasonic Sensor, SoC System on Chip, L293 Driver, Solar, Energy, Panel, NodeMCU, Microcontroller, ESP32, Ultrasonic, Sensor, SoC, System, on, Chip, L293, Driver,
Abstract: The solar lawn cutter is a fully automated grass cutting robotic vehicle powered by solar energy that also avoids obstacles and is capable of fully automated grass cutting without the need of any human intervention. The system uses 12V batteries to power the vehicle movement motors as well as the grass cutter motor. We use a solar panel to charge the battery. The grass cutter and Vehicle motors are interfaced to an Node MCU that controls the working of all the motors. It is also used to interface an ultrasonic sensor for object detection. The SoC moves the bot in the forward direction in case no obstacle is detected. On obstacle detection; the ultrasonic sensor monitors it and the SoC thus stops the grass cutter motor to avoid any damage to the object/human/animal whatever it is. In order to detect the boundaries, the bot uses on a right angle to trigger start event. The detection of the laser on the other side triggers the bot to stop and turn a right angle clockwise and move to next row. The bot takes another right angle turn clockwise and moves forward till the next laser fence is detected. The detection of both the lasers simultaneously triggers the stop event. The L293 bi-motor controller/driver is used.
Keywords: Solar Energy, Solar Panel, NodeMCU Microcontroller ESP32, Ultrasonic Sensor, SoC System on Chip, L293 Driver
Edition: Volume 9 Issue 5, May 2020,
Pages: 1203 - 1208
How to Cite this Article?
Ramya P, Shailendra Kumar, Yogesh Sharma, Hitesh Ritolia, Kondeti Veerendra, "A Fully Automated Lawn Cutter Using Solar Panel", International Journal of Science and Research (IJSR), Volume 9 Issue 5, May 2020, pp. 1203-1208, https://www.ijsr.net/get_abstract.php?paper_id=SR20517232012
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