Theft Identification & Alert through Motion Detection & Facial Recognition using IoT.
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Date
2020-10-14T09:05:41Z
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Abstract
The safety of one's priced belongings of a person in his absence when he leaves his/her
house, workplace, shop etc. is always a concern specially with the ever-increasing number
of crimes such as theft, robbery etc. The threat possessed by these types of crimes is ever
present and there are hard numbersto back this up, there is one burglary attempted every
13 seconds, while on an yearly basis there are roughly 2.5 million burglaries happening in
the USA alone out of which a staggering 66% are home break-ins, and while the police
tries to address most of them they are only able to solve a mere 13% of it due to lack of
witness or physical evidence present. But even then, larceny-theft accounts to 75% of the
total property crime and burglary adds up 18% more. The reason behind this is that out of
the total cases of home break-ins recorded, only 17% is of the houses actually had a
security system in place.
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Keywords
KRISHNA VINEETH P, NASIR HASAN DILAWAR, NITHINDRA D, 1NH16CS052, 1NH16CS069, 1NH16CS075