RECONNAINCE DRONE

April 2018
Vol-4, Issue-2
Paper ID: 7914
ISSN: 2395-4396
Downloads: 0

Abstract & Details

Research Area
Computer Engineering
Keywords
Remote control Smart car Arduino Drone
Abstract
This project is an obstacle avoidance that we have achieved with the help of an ultrasonic sensor which is mounted on a Servo Motor and the whole connection is given to an Arduino board. The L298N Bridge is used to control the two Motors which drive the whole apparatus, this whole apparatus is powered by two nine volt batteries. One is used to cover the Arduino and the other is used to cover the two individual Motors. The two Motors have an rpm of thousand so as to ensure that the Drone is able to move in an orderly fashion. Arduino is an open source computer hardware and software company, project, and user community that designs and manufactures single-board for building digital devices and interactive objects that can sense and control objects in the physical world. The project’s products are distributed as open-source hardware and software, which are licensed under the GNU Lesser General Public License (LGPL) or the GNU General Public License (GPL), permitting the manufacture of Arduino boards and software distribution by anyone. The coding is uploaded into the system via ordinary and by connecting the Arduino board to the computer via USB cable.

Author Information

# Name Institute / Affiliation
1 Nitesh Ramakrishnan SRM Institute of Science and Technology
2 Mithran J SRM Institute of Science and Technology
3 Chappa Sai Chaitanya SRM Institute of Science and Technology
4 Srikaanth A K SRM Institute of Science and Technology
5 Akash Dutta SRM Institute of Science and Technology
6 Elakya R SRM Institute of Science and Technology

How to Cite

Use the following formats to cite this article in your research.

APA Style
Ramakrishnan, Nitesh, J, Mithran, Chaitanya, Chappa Sai, K, Srikaanth A, Dutta, Akash, & R, Elakya (2018). RECONNAINCE DRONE. International Journal of Advance Research and Innovative Ideas In Education, 4(2), 2236-2238.
MLA Style
Ramakrishnan, Nitesh, et al. "RECONNAINCE DRONE." International Journal of Advance Research and Innovative Ideas In Education, vol. 4, no. 2, 2018, pp. 2236-2238.
IEEE Style
Nitesh Ramakrishnan, Mithran J, Chappa Sai Chaitanya, Srikaanth A K, Akash Dutta, and Elakya R, "RECONNAINCE DRONE," International Journal of Advance Research and Innovative Ideas In Education, vol. 4, no. 2, pp. 2236-2238, 2018.
Vancouver Style
Ramakrishnan Nitesh, J Mithran, Chaitanya Chappa Sai, K Srikaanth A, Dutta Akash, R Elakya. RECONNAINCE DRONE. International Journal of Advance Research and Innovative Ideas In Education. 2018;4(2):2236-2238.
Harvard Style
Ramakrishnan, Nitesh, J, Mithran, Chaitanya, Chappa Sai, K, Srikaanth A, Dutta, Akash, & R, Elakya (2018) 'RECONNAINCE DRONE', International Journal of Advance Research and Innovative Ideas In Education, 4(2), pp. 2236-2238.
Chicago Style
Ramakrishnan, Nitesh, et al. "RECONNAINCE DRONE." International Journal of Advance Research and Innovative Ideas In Education 4, no. 2 (2018): 2236-2238.
Turabian Style
Ramakrishnan, Nitesh, et al. "RECONNAINCE DRONE." International Journal of Advance Research and Innovative Ideas In Education 4, no. 2 (2018): 2236-2238.

Export Citation

Related Research

A Deep Learning-Based Framework for Mood-Oriented Music Recommendation Using Facial Expression Analysis
Vaibhav Ashok Bhangare et al. 2026 Computer Engineering
PDF Unavailable
Survey On : Intelligent Payroll and Human Resource Management Systems: A Systematic Review of Automation, Security, and Analytics
Vishakha Jadhav et al. 2026 Human Resource Management, Artificial Intelligence, Machine Learning, Payroll Systems, Cybersecurity, Business Intelligence, Robotic Process Automation, Employee Analytics, Digital Transforma
PDF Unavailable
Civic Engagement & Empowerment Platform
Supriya Dadaso Bankar et al. 2026 Computer engineering
PDF Unavailable
RAG System Development with Pydantic AI ChromaDB & Groq
Prof. Priyanka P. Kakade et al. 2026 Computer Engineering
PDF Unavailable
Machine Learning Based Early Stage Diabetes Detection System
Rohan Mulik et al. 2026 Computer Engineering
PDF Unavailable
A Survey on Skillsense:AI Career Analyzer App
Kirti Datir et al. 2026 Computer Engineering
PDF Unavailable
Employee Performance Portal
P.Harika et al. 2026 Computer science and engineering
PDF Unavailable