Swarm of reconnaissance drones using artificial intelligence and networking

ABSTRACT

This paper proposes a novel system for search and recognition in flood-affected areas using a swarm of autonomous drones. The system is based on a combination of machine learning, artificial intelligence, and networking technologies. The drones are equipped with cameras and sensors to identify victims, assess damage, and provide real-time updates to rescue crews. The drones can also create a temporary network in areas where the existing network has been disrupted. The system has the potential to significantly improve the efficiency and effectiveness of search and rescue operations in the aftermath of a natural disaster.

KEYWORDS:

• Drone swarm
• reconnaissance
• networking
• natural disaster
• search and rescue
• machine learning
• artificial intelligence
• gesture recognition
• prototype

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Notes on contributors

Aashrith A Jain

Aashrith A Jain, B.tech in Mechanical Engineering at PES University, Bengaluru. His areas of interest are in Designing, Production, Computer Aided Design, Strength of materials and Supply chain management. He has handled Process Capibility and Machine Capibility of a particular manufacturing process at Bosch.

Akarsh Saraogi

Akarsh Saraogi is a recent graduate of PES University, Bengaluru, with a Bachelor of Technology in Mechanical Engineering and a minor in Computer Science. His minor in computer science provided him with a solid foundation in programming and software development. He is now able to use his expertise in mechanical engineering and computer science to create novel solutions to complicated issues.

Pawan Sharma

Pawan Sharma is a recent graduate of PES University, Bengaluru, where he earned a Bachelor of Technology degree in Mechanical Engineering. Pawan's involvement in the robotics club and Aeolus Club gave him valuable experience in building drones and debugging the problems efficiently.

Vibhav Pandit

Vibhav Pandit is a recent graduate from PES University, Bengaluru, specializing in Mechanical Engineering with a minor in Computer Science. With interest in coding languages like Python and Java, he has demonstrated a strong foundation in programming. Driven by his profound passion for Artificial Intelligence and Machine Learning, Vibhav actively engaged in this project, dedicating his efforts primarily to the ML aspect.

Shivakumar R Hiremath

Shivakumar R Hiremath is an Assistant Professor in the department of Mechanical Engineering, pursuing his Ph.D at VTU Belgaum. His research interests include engineering materials, surface engineering, and thermal spray coating.