Object Detection in UAVs

The aim of the paper is to embed UAVs with A.I and explore possible application of the same. Face Recognition is needed and applicable in various fields like Defense, Health Care, Search and Rescue, Surveillance and Delivery System. Dataset creation, training and recognizer are the basis of Face recognition system. Face recognition systems developed are acceptably effective with detection and identification of the objects. We aim to create an artificial intelligence which is integrated in an UAV for face recognition and surveillance. We also intend to introduce anti collision system on the A.I to help the drone be safer and prevent damages to itself and the surround. The same is based on sonar sensors which would measure the distance the between the drone and object. Once detected the drone will maneuver itself out of the trajectory of collision. A path finding algorithm is part of the A.I to help the drone navigate 2 dimensional maps on its own. by integration of both object detection and path finding we aim to create an automated drone capable of functioning without human intervention of any kind. Shweta Kumar | Hasan Phudinawala | Chinmay Parab | Nidhi Parmar "Object Detection in UAVs" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-6 | Issue-3 , April 2022, URL: https://www.ijtsrd.com/papers/ijtsrd49724.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/49724/object-detection-in-uavs/shweta-kumar