scholarly journals Smart Indoor Home Surveillance Monitoring System Using Raspberry Pi

2018 ◽  
Vol 2 (4-2) ◽  
pp. 299 ◽  
Author(s):  
Lee Han Keat ◽  
Chuah Chai Wen
Keyword(s):  
Monitoring System ◽  
Surveillance System ◽  
Raspberry Pi ◽  
Motion Sensor ◽  
Analysis And Design ◽  
Everyday Objects ◽  
Smart Surveillance ◽  
Message Service ◽  
Web Camera ◽  
Video Feed

Internet of Things (IoTs) are internet computing devices which are connected to everyday objects that can receive and transmit data intelligently. IoTs allow human to interact and control everyday objects wirelessly to provide more convenience in their lifestyle. The Raspberry Pi is a small, lightweight and cheap single board computer that can fit on human’s palm. Security plays a big role in a home. People concern about security by preventing any intruders to enter their home. This is to prevent loss of privacy and assets. The closed-circuit television (CCTV) is one of the device used to monitor the secured area for any intruders. The use of traditional CCTV to monitor the secured area have three limitations, which are requiring a huge volume of storage to store all the videos regardless there are intruders or not, does not notify the users immediately when there are motions detected, and users must always check the CCTV recorded videos regularly to identity any intruders. Therefore, a smart surveillance monitoring system is proposed to solve this problem by detecting intruders and capturing image of the intruder. Notifications will also be sent to the user immediately when motions are detected. This smart surveillance monitoring system only store the images of the intruders that triggered the motion sensor, making this system uses significantly less storage space. The proposed Raspberry Pi is connected with a passive infrared (PIR) motion sensor, a webcam and internet connection, the whole device can be configured to carry out the surveillance tasks. The objectives of this project are to design, implement and test the surveillance system using the Raspberry Pi. This proposed surveillance system provides the user with live stream of video feed for the user. Whenever a motion is detected by the PIR motion sensor, the web camera may capture an image of the intruder and alert the users (owners) through Short Message Service (SMS) and email notifications. The methodology used to develop this system is by using the object-oriented analysis and design (OOAD) model.

scholarly journals IoT Based Smart Surveillance System for Healthcare Monitoring using Raspberry PI

2019 ◽  
Vol 8 (12) ◽  
pp. 627-629
Keyword(s):  
Blood Pressure ◽  
Surveillance System ◽  
Heart Diseases ◽  
Electrical Signal ◽  
Raspberry Pi ◽  
Electronic Board ◽  
Pulse Sensor ◽  
Smart Surveillance ◽  
Healthcare Monitoring ◽  
Smart Surveillance System

IOT could be a trending in technology that can transform any device into a wise one a lot of industries setting out to utilize these technologies to extend their capacity and improve potency. These system has been created to detect people who are suffering with heart diseases, this framework is powered by Raspberry pi electronic board, which is worked on power control supply, Remote web availability by utilizing USB modem, it incorporates with sensors. pulse sensor which detects each beats per minute price. Temperature sensor detects the temperature variation, blood pressure sensor reads blood pressure and heart rate, ECG sensor which measures the electrical signal of the heart. it is an analog from converted in digital by using of SPI protocol. If any emergency occurs, it will raise a caution send it to the website and mobile though NOOBS Software. If any sensor parameter value more than the instructed value it will raise a beep sound

Real-Time Smart Surveillance System Using Raspberry Pi

2019 ◽  
Author(s):  
Dhanshri Mali ◽  
Ramesh RTP ◽  
Nagaraj Dharwadkar ◽  
Chaitanya R. Devale ◽  
Omprakash Tembhurne
Keyword(s):  
Real Time ◽  
Surveillance System ◽  
Raspberry Pi ◽  
Smart Surveillance ◽  
Smart Surveillance System

scholarly journals PERANCANGAN SISTEM KAMERA PENGAWAS BERBASIS PERANGKAT BERGERAK MENGGUNAKAN RASPBERRY PI

2017 ◽  
Vol 3 (2) ◽  
Author(s):  
Dwi Ely Kurniawan ◽  
Syafarudin Fani
Keyword(s):  
Monitoring System ◽  
Remote Access ◽  
Raspberry Pi ◽  
Motion Sensor ◽  
Motion Sensors ◽  
Wireless Technology ◽  
High Crime

[Id]Tingginya kriminalitas di Kota Batam membuat beberapa warga menjadi khawatir terhadap pencurian. Pemilik rumah dan toko terkadang waswas untuk meninggalkan rumah dalam keadaan kosong. Penelitian ini mengusulkan untuk merancang sebuah sistem kamera pengawas, sehingga pemilik rumah atau toko dapat dengan mudah memantau dan memonitor kondisi rumah mereka dengan perangkat bergerak yang dimiliki. Perancangan sistem kamera pengawas memanfaatkan teknologi wireless yang memungkinkan diakses jarak jauh, dimanapun dan kapanpun oleh pemilik rumah. Kamera CCTV dilengkapi dengan sensor motion yang akan mendeteksi adanya gerakan. Bila terdapat gerakan maka sensor akan mengirim sinyal ke raspberry pi, lalu memprosesnya dengan mengirim notifikasi ke perangkat smartphone. Pengguna dapat memutuskan untuk melakukan kontrol alarm aktif sebagai peringatan bahaya dalam upaya pencegahan tindakan pencurian.Kata kunci: kamera pengawas, perangkat bergerak, raspberry pi[En]The high crime in Batam makes some residents became concerned about theft. Where the owners of houses and shops are sometimes hesitant to leave the house empty. This study proposes to design a camera monitoring system, so that the owner of the house / shop can easily track and monitor the condition of their homes. CCTV cameras equipped with motion sensors that will detect the presence of motion. When there is a motion sensor will send a signal to the raspberry pi, and then forwarded to send notifications to the android. The design of the camera monitoring system using wireless technology that allows remote access, anywhere and anytime by the homeowner.

scholarly journals Development of a portable community video surveillance system

2019 ◽  
Vol 9 (3) ◽  
pp. 1814
Author(s):  
S. Fakhar A. G ◽  
A. Fauzan K ◽  
M. Saad H ◽  
R. Affendi H ◽  
K. H. Fen
Keyword(s):  
Video Surveillance ◽  
Surveillance System ◽  
Night Vision ◽  
Raspberry Pi ◽  
Video Surveillance System ◽  
Image Subtraction ◽  
Whole Process ◽  
Video Feed ◽  
Group Members ◽  
Vision Simulation

In 2016, a crime rate has been evidently increasing particularly in Kuala Lumpur areas, including reports on house break-ins, car thefts, motorcycle thefts and robbery. One way of deterring such cases is by installing CCTV monitoring system in premises such as houses or shops, but this usually requires expensive equipment and installation fees. In this paper a cheaper alternative of a portable community video surveillance system running on Raspberry Pi 3 utilizing OpenCV is presented. The system will detect motion based on image subtraction algorithm and immediately inform users when intruders are detected by sending a live video feed to a Telegram group chat, as well as sound the buzzer alarm on the Raspberry Pi. Additionally, any Telegram group members can request images and recorded videos from the system at any time by sending a get request in Telegram which will be handled by Telegram Bot. This system uses the Pi NoIR camera module as the image acquisition device equipped with a 36 LED infrared illuminator for night vision capability. In addition to the Python language, OpenCV, a computer vision simulation from Intel is also used for image processing tasks. The performance analysis of the completed system is also presented computational complexity while offering improved flexibility. The performance time is also presented, where the whole process is run with a noticeable 3 seconds delay in getting the final output.

scholarly journals Smart Surveillance System using Raspberry Pi and Face Recognition

IJARCCE ◽  
2017 ◽  
Vol 6 (4) ◽  
pp. 621-624 ◽  
Author(s):  
Chinmaya Kaundanya ◽  
Omkar Pathak ◽  
Akash Nalawade ◽  
Sanket Parode
Keyword(s):  
Face Recognition ◽  
Surveillance System ◽  
Raspberry Pi ◽  
Smart Surveillance ◽  
Smart Surveillance System

scholarly journals Low-Cost Camera-Based Smart Surveillance System for Detecting, Recognizing, and Tracking Masked Human Face

2021 ◽  
Vol 15 (23) ◽  
pp. 104-119
Author(s):  
Ervan Adiwijaya Haryadi ◽  
Grafika Jati ◽  
Ario Yudo Husodo ◽  
Wisnu Jatmiko
Keyword(s):  
Surveillance System ◽  
Low Cost ◽  
Face Mask ◽  
Raspberry Pi ◽  
Surveillance Systems ◽  
Single Shot ◽  
Surveillance Camera ◽  
Smart Surveillance ◽  
The Face ◽  
Smart Surveillance System

A surveillance system is still the most exciting and practical security system to prevent crime effectively. The primary purpose of this system is to recognize the identity of the face caught by the camera. With the advancement of the Internet of things, surveillance systems were implemented on edge devices such as the low-cost Raspberry mobile camera. It raises the challenge of unstructured image/video where the video contains low quality, blur, and variations of human poses. The challenge is increasing because people used to wear a mask during the Covid -19 pandemic.  Therefore, we proposed developing an all-in-one surveillance system with face detection, recognition, and face tracking capabilities. This system integrated three modules: MTCNN face detector, VGGFace2 face recognition, and Discriminative Single-Shot Segmentation (D3S) tracker to create a system capable of tracking the faces of people caught on surveillance camera. We also train new face mask data to recognize and track. This system obtains data from the Raspberry Pi camera and processes images on the cloud as a mobile sensor approach. The proposed system successfully implemented and obtained competitive results in detection, recognition, and tracking under an unconstrained surveillance camera.

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