Motion sensing and image capturing based smart door system on android platform

Aman, Faiz; Anitha, C.

doi:10.1109/icecds.2017.8389871

Cited by 18 publications

(13 citation statements)

References 2 publications

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“…One is IoT which associates with internetworking of the contraptions and fundamentally the likelihood of Artificial intelligence(AI) Where the computer itself can foresee the going with state as appeared by recorded data. We have shown a correspondence of an area with the seller [3]. Movement detecting, picture catching text warning is taken care of by camera.…”

Section: Introductionmentioning

confidence: 99%

“…As IoT is picking up parcels and bunches of prominence, We can monitor any of these designed contraption in home and can work it remotely [3]. This is particularly worthwhile.…”

Section: Introductionmentioning

confidence: 99%

“…Hence, IoT has overwhelmed advertise. Likewise, there will be enormous development in the field of home robotization improvement is not very ousted future [3]. To render the design of smart home, we essentially base on two focus degrees of progress.…”

Section: Introductionmentioning

confidence: 99%

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IoT Door Lock Security System using Google Assistance

2019

IJITEE

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Nowadays security is the most common problem in door locking system. Anyone can break the door using hard objects and make a robbery of the home, offices and any other properties. This can lead to huge loss for the human economy. In this paper we are proposing a model, in which we used to lock and open the entryway utilizing the google help over the voice and stun IoT board and stun IoT application. The existing system rely on microcontroller, Global System for Mobile (GSM) , GPS(Global Positioning System), various sensors, programming like MATLAB, biometric face affirmation, Iris scanner, RFID(Radio frequency identification ) technology [6], smart card and mystery express etc. In a colossal fragment of frameworks, Short Message Service (SMS) approach is utilized for correspondence so the structure, it requires some test to pass on message.

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Section: Introductionmentioning

confidence: 99%

“…As IoT is picking up parcels and bunches of prominence, We can monitor any of these designed contraption in home and can work it remotely [3]. This is particularly worthwhile.…”

Section: Introductionmentioning

confidence: 99%

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IoT Door Lock Security System using Google Assistance

2019

IJITEE

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Section: Introductionmentioning

confidence: 99%

“…Thus, images can be analyzed using artificial intelligence to determine if there are people next to the door and what kind of activity they are doing (waiting next to the door, knocking the door, using tools to open the door, etc.). 2 There are a lot of challenges trying to detect what people are doing, even using a lot of sensors. 3 Detecting if the door is actually closed or opened can be done using just a sensor, but detecting if someone, who is next to our door, is doing a criminal action requires getting a lot of data and analyzing them.…”

Section: Introductionmentioning

confidence: 99%

Real‐time force doors detection system using distributed sensors and neural networks

et al. 2019

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Intelligent security systems have evolved enormously in the last few years. Most of these security systems use a group of physics sensors and algorithms for data analysis and communication systems to notify security alarms. Many security systems that are included in doors can detect intruders when they have already opened the door, but not while intruders are forcing upon the door. However, some security systems include preventive systems, which can detect intruders before they open the door. These preventive systems are usually based on video cameras (image processing) or in‐presence sensors, which can generate many false positives, for instance, when a person is next to the door for a few seconds, even if this person is not manipulating the door. This research work proposes a novel force door detection system. The system includes a specific device for monitoring door small vibrations and movements; it analyzes these data using neural networks to detect accurately if someone is forcing upon the door. Artificial intelligence must be able to categorize data records without confusing when someone is forcing upon the door with other actions, like knocking on the door.

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