1st International Conference on Emerging Trends in Mechanical Sciences for Sustainable Technologies
AI Based Grass Cutting Rover Using Image Processing to Move the Obstacle
Vishnu Sakravarthy N, Guruprakash A, Jeswin J and Logeshwaran M, Department of Mechanical Engineering, Sri Eshwar College of Engineering, Coimbatore, Tamil Nadu, India.
In today's technologies, automation is expanding quickly. Therefore, Automation is essential in the agriculture sector and beneficial to farmers. Grass cutters were manually operated portable instruments in former times. As a result, they used gas and petrol engines, which resulted in pollution and energy loss. Therefore, it is necessary to replace the old grass cutters with automated ones that use batteries as a power source for the system's guiding and obstacle detection. Additionally, It utilized a motor drive for the robot's wheels, a linear blade to cut the grass and using image processor for object detection, and an arm at the front of the rover to move the small obstacles which can protect the grass cutting blade and an Arduino UNO microcontroller board as the system's primary controller. A cordless electric lawn mower, which is self-powered by electricity, is another goal of the project. A Raspberry Pi microprocessor serves as the machine's brain and directs the movements of the lawnmower. It is made up of geared motors that manage the mover's speed and direction.and a high-torque motor that drives the cutting blades. The geared motors are switched on and off using a control circuit that is comprised of MOSFETS that are controlled by the raspberry pi. The mover has an onboard camera which is used by the microprocessor to detect objects and living beings and take the necessary action that being, to avoid themorstop moving. It is completely automated and renewable.
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Cite this article
Vishnu Sakravarthy N, Guruprakash A, Jeswin J and Logeshwaran M, “AI Based Grass Cutting Rover Using Image Processing to Move the Obstacle”, Advances in Intelligent Systems and Technologies, pp. 035-041, August. 2023. doi:10.53759/aist/978-9914-9946-4-3_6
