Design of Smart Home Security System using Object Recognition and PIR Sensor

Surantha, Nico; Wicaksono, Wingky R.

doi:10.1016/j.procs.2018.08.198

Cited by 79 publications

(46 citation statements)

References 7 publications

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“…Passive infrared sensor is also one of the most common type of systems to detect intruders . However, although these systems are very reliable in detecting movements, detecting what kind of action the person is doing is difficult for them.…”

Section: Related Workmentioning

confidence: 99%

“…Some security systems use external presence sensors to monitor activity around the door. These sensors detect when someone is moving next to the door …”

Section: Introductionmentioning

confidence: 99%

“…These sensors detect when someone is moving next to the door. 1 Many other security systems use video cameras to monitor the activity around the door. 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.).…”

Section: Introductionmentioning

confidence: 99%

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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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Section: Related Workmentioning

confidence: 99%

“…Some security systems use external presence sensors to monitor activity around the door. These sensors detect when someone is moving next to the door …”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

et al. 2019

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“…[9] And another study entitled Design of Smart Home Security System using Object Recognition and PIR Sensor states that the security monitoring system based on Internet of Things technology uses Raspberry Pi 3, Arduino, PIR sensor, web camera and buzzer technology and incorporates human detection capabilities with HoG and SVM. [10] From the review that has been discussed, there are several researchers who discuss smart home by using several arduino, raspberry and other technologies. and based on this we will develop and add some features that do not yet exist, both in terms of technology and in terms of cost efficiency.By designing the initial model of the smartroom, we hope to find system weaknesses before the system is implemented…”

Section: Related Workmentioning

confidence: 99%

Smart Room System Model Using a Microcontroller for the Efficiency of Campus Operational Costs

Endra¹,

Cucus²,

Afandi³

2018

Proceedings of the the 1st International Conference on Computer Science and Engineering Technology Universitas Muria Kudus

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Internet of Things (IoT) is a concept that adopts an automatic control system or control that is done through a gadget. Currently the concept of IoT helps a lot in everyday activities. We sometimes forget to deactivate the electronic devices that have been used and the equipment is unwittingly active for 24 hours. That kind of conditions gives an impact on the cost of electricity bills that are increasing. It also disposes the resources of electric power. In this study it discusses how to make a smart room model using Arduino as a microcontroller. By adopting IoT concept, electronic device control is done automatically without a user having to press on / off button on an electronic device.

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“…The system is expected to recognize the intruder accurately in the shortest time. This paper is an extended version of our previous published conference proceeding (Surantha and Wicaksono, 2018). In this paper, the literature review and the explanation of HoG in detecting objects are extended.…”

Section: Introductionmentioning

confidence: 99%

An IoT based House Intruder Detection and Alert System using Histogram of Oriented Gradients

Surantha¹,

Wicaksono²

2019

Journal of Computer Science

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This research aims to design and implement a home security system with human detection capability. Traditional home security systems, i.e., Closed-Circuit Television (CCTV) can only capture and record videos without the ability of giving warning feedback if there is any suspicious object. Therefore, an additional object detection and warning method is required. The proposed design is implemented using Raspberry Pi 3 and Arduino, that is connected by USB cable. The PIR sensor is installed on Arduino and webcam is mounted on Raspberry Pi 3. The Raspberry Pi 3 is used to process inputs from sensors and process images for human detection. PIR sensor detects the movement around the sensor to activate the webcam to capture a picture. Then, the object recognition is performed using Histogram of Oriented Gradients (HOG) and Support Vector Machine (SVM) to detect the suspicious object. If the suspicious object is detected, then the alarm is activated and sends an email to warn the house owner about the existence of the intruder. The results show that it takes on average 2 seconds for the proposed system to detect an intruder and that the system can successfully detect the intruder with accuracy of 90%.

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Design of Smart Home Security System using Object Recognition and PIR Sensor

Cited by 79 publications

References 7 publications

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

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

Smart Room System Model Using a Microcontroller for the Efficiency of Campus Operational Costs

An IoT based House Intruder Detection and Alert System using Histogram of Oriented Gradients

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