• Mr. M. Dineswar Sai
• Dr. B. Prasad

Drones have widespread application in real life and the industry is expanding rapidly. As they are growing increasingly more accessible to the public at cheaper prices. They are used for espionage and can be converted into gruesome (Spying) weapons. This project is useful at military bases to detect the drones. There were 865,505 drones are registered as of 3 October 2022, with 538,172 of them are recreational, to prevent this type of risks.Hence it is very important to monitor and detect unauthorized drones entering into the restricted regions in order to maintain peace and prevent chaos. This enhanced project uses pre- trained dataset and CNN (Convolutional Neural Network) algorithm to detect the unauthorized drones and other objects like persons and birds.

Drones,Weapons, Convolutional Neural Network(CNN),Military Base.

"Unwanted Drone Detection In Military Application Using Deep Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 10, page no.f205-f209, October-2023, Available :http://www.jetir.org/papers/JETIR2310425.pdf

"Unwanted Drone Detection In Military Application Using Deep Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 10, page no. ppf205-f209, October-2023, Available at : http://www.jetir.org/papers/JETIR2310425.pdf