Feasibility Study of Artificial Intelligence Technology for Home Video Surveillance System
Author:
Affiliation:
1. Telkom Corporate University,PT Telkom Indonesia,Bandung,Indonesia
2. Telkom University,School of Computing,Bandung,Indonesia
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9872526/9872549/09872822.pdf?arnumber=9872822
Reference24 articles.
1. Edge Computing: Vision and Challenges
2. Smart Surveillance System using Raspberry Pi and Face Recognition
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4. Design and Implementation of a Prototype Cloud Video Surveillance System
5. Implementation of Real Time Video Streamer System in Cloud;sumalatha;Int J Eng Appl Sci,2016
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