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ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
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Paper Title: Review on Identifying and Detecting Real-Time Objects Using Drone Camera
Authors Name: Harsh Singhal , Shubhangi Rajpure , Ruchita Badgujar , Pooja Dangle , Pramod Patil
Unique Id: IJSDR1912009
Published In: Volume 4 Issue 12, December-2019
Abstract: Commercially there is tremendous increase in the application of Unmanned Aerial Vehicle (UAV) which is publically known as Drone. In this paper we are proposing application of Drone in Real Time Object Detection. It uses Artificial Neural Network and Algorithms of Machine Learning to successfully detect all kinds of objects. Object detection has wide applications in many autonomous and non-autonomous sectors and integrating this technology with Drone will be boon to human kind. We will exploit drone technology and the detection module will detect all the target objects and give the detected object details as output. Object detection will be used for many applications like surveillance, delivery, crowd analysis, traffic surveillance, etc .This article also describes possibilities of further development of system.
Keywords: Object Detection, Deep Learning, Neural Network, Recognition, Artificial Intelligence
Cite Article: "Review on Identifying and Detecting Real-Time Objects Using Drone Camera", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.4, Issue 12, page no.39 - 42, December-2019, Available :http://www.ijsdr.org/papers/IJSDR1912009.pdf
Downloads: 000102098
Publication Details: Published Paper ID: IJSDR1912009
Registration ID:191045
Published In: Volume 4 Issue 12, December-2019
DOI (Digital Object Identifier):
Page No: 39 - 42
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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