Please use this identifier to cite or link to this item:
http://hdl.handle.net/20.500.12188/8262
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Darko Kostadinov | en_US |
dc.contributor.author | Veno Pachovski | en_US |
dc.contributor.author | Irena Stojmenovska | en_US |
dc.date.accessioned | 2020-05-22T07:56:52Z | - |
dc.date.available | 2020-05-22T07:56:52Z | - |
dc.date.issued | 2020-05-08 | - |
dc.identifier.uri | http://hdl.handle.net/20.500.12188/8262 | - |
dc.description.abstract | Drones have already established a significant role in many industries. As technology progresses, in the next few years, drones will be considered useful tools for a variety of consumers. The paper aims to show the benefits and advantages of using a drone as a dynamic security camera (strengthened by using image recognition software) for home security purposes. Two applications were created as proof of concept to present the idea. This approach can be beneficial not only for home security, but also for other industries such as: cinematography, agriculture, energy, civil engineering and constructions, safety, security in general, governmental use, oil refining and other environmental sciences. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Ss. Cyril and Methodius University in Skopje, Faculty of Computer Science and Engineering, Republic of North Macedonia | en_US |
dc.relation.ispartofseries | CIIT 2020 short papers;17 | - |
dc.subject | Home security, IoT, drone, image recognition, web sockets, tensorflow.js, AWS, Node.js | en_US |
dc.title | Home security system based on drone automation - IoT approach | en_US |
dc.type | Proceeding article | en_US |
dc.relation.conference | 17th International Conference on Informatics and Information Technologies - CIIT 2020 | en_US |
item.grantfulltext | open | - |
item.fulltext | With Fulltext | - |
Appears in Collections: | International Conference on Informatics and Information Technologies |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
CIIT2020_paper17.pdf | 362.2 kB | Adobe PDF | View/Open |
Page view(s)
336
checked on Apr 28, 2024
Download(s)
363
checked on Apr 28, 2024
Google ScholarTM
Check
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.