Review on Identifying and Detecting Real-Time Objects Using Drone Camera
Harsh Singhal
, Shubhangi Rajpure , Ruchita Badgujar , Pooja Dangle , Pramod Patil
Object Detection, Deep Learning, Neural Network, Recognition, Artificial Intelligence
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.
"Review on Identifying and Detecting Real-Time Objects Using Drone Camera", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.4, Issue 12, page no.39 - 42, December-2019, Available :https://ijsdr.org/papers/IJSDR1912009.pdf
Volume 4
Issue 12,
December-2019
Pages : 39 - 42
Paper Reg. ID: IJSDR_191045
Published Paper Id: IJSDR1912009
Downloads: 000347423
Research Area: Engineering
Country: Nashik, Maharashtra, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
