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The impact of computer vision on home security

The Pharma Innovation · 2019 · Vol. 8(5S) · pp. 14–20

Abstract

Artificial intelligence and machine learning are subfields of computer vision. Its goal is to assist computers in seeing and comprehending the content of digital photographs. In this paper we are proposing a system which will detect a person at the main gate of the property. The gate will automatically open if the system recognises the person (i.e., if the person is known by the house owner). Otherwise, information will be sent via email to the house owner, who will decide whether or not to unlock the gate. If the house owner does not answer within a certain amount of time, we will collect personal information such as a phone number and transmit it to the owner for future use.

Video Surveillance and Tracking MethodsComputer sciencePhoneComputer securityProperty (philosophy)Internet privacySmart phoneMultimediaHuman–computer interactionWorld Wide WebArtificial intelligence
Citations
0
FWCI
0.00
field-weighted impact
References
12
Percentile
28%
vs. same field & year
References
A real time face emotion classification and recognition using deep learning model
Journal of Physics Conference Series · 2020 · 183 citations
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