Real-Time Smart Home Surveillance System of Based on Raspberry Pi

2020 ◽  
Author(s):  
Yi-Chen Lee ◽  
Ching-Min Lee
Keyword(s):  
Real Time ◽  
Surveillance System ◽  
Smart Home ◽  
Raspberry Pi

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

A Design and Implementation of Video Monitoring System at Smart Home

2014 ◽  
Vol 568-570 ◽  
pp. 1162-1167 ◽  
Author(s):  
Heng Xu ◽  
Cheng Hua Fu ◽  
Yun Jin Yang
Keyword(s):  
Real Time ◽  
Monitoring System ◽  
Video Surveillance ◽  
Surveillance System ◽  
Smart Home ◽  
Video Stream ◽  
Video Monitoring ◽  
Video Surveillance System ◽  
Infrared Sensor ◽  
Design And Implementation

The traditional real-time video surveillance system at smart home tends to occupy a lot of resource .In order to solve this kind of problem, a design of an infrared sensor to trigger video monitoring system is proposed in this paper .The system uses arm9-Linux as the platform ,and infrared sensor as the trigger device and uses the mpeg-4 algorithm to encode the video stream finally .The article mainly introduces how to build the hardware and software platform and tests the feasibility of the system.

scholarly journals Implementasi Video Streaming Lalu Lintas Kendaraan Dengan Server Raspberry Pi Menggunakan Protokol H.264

2018 ◽  
Vol 5 (5) ◽  
pp. 629
Author(s):  
Erfan Rohadi ◽  
Anastasia Merry Christine ◽  
Arief Prasetyo ◽  
Rosa Andrie Asmara ◽  
Indrazno Siradjuddin ◽  
...  
Keyword(s):  
Real Time ◽  
Video Streaming ◽  
Video Surveillance ◽  
Surveillance System ◽  
Closed Circuit ◽  
Raspberry Pi ◽  
Live Streaming ◽  
Video Surveillance System ◽  
Streaming Server ◽  
Traffic Conditions

<p><strong>Abstrak</strong></p><p><strong><br /></strong>Teknologi <em>video surveillance system </em>atau kamera pengawas sudah menjadi alat yang sangat penting karena mayoritas kebutuhan masyarakat sekarang ini menginginkan informasi yang cepat untuk diakses serta praktis dalam penggunaannya. Dalam penelitian ini sebuah protokol H.264 dipergunakan dalam <em>memproses video streaming</em>pada <em>video surveillance system</em>yang berfungsi sebagai pengirim dan pengontrol paket data <em>streaming</em>dari kamera pengawas ke penerima yaitu sebagai <em>user video surveillance system</em>. Analisis <em>frame video</em>pada protokol H.264 dilakukan pada live streaming server berupa embedded system yang terintegrasi pada video <em>surveillance system</em>dengan kamera pengawas. Dari hasil uji coba menunjukan bahwa Protokol H.264 memberikan kompresi kualitas <em>video</em>yang baik, sehingga implementasi <em>Video Streaming</em>lalu lintas kendaraan ini menjanjikan dapat membantu memudahkan masyarakat dalam mendapatkan informasi dan juga mengetahui kondisi lalu lintas secara<em>realtime </em>serta efektif dan efesien. Implementasi <em>Video streaming</em>secara <em>realtime</em>ini memantau kondisi lalu lintas di suatu Lokasi dengan pendeteksi ketersediaan kamera CCTV <em>(Closed Circuit Television)</em>dan <em>Raspberry pi</em>sebagai <em>server</em>. </p><p> </p><p><em><strong>Abstract</strong></em></p><p><em><strong></strong></em><em><span>Technology of video surveillance system has become a very important tool because the majority of the needs of today's society want information that is fast to access and practical in its use. In this study an H.264 protocol is used in processing video streaming in video surveillance system that functions as a sender and controller of streaming data packets from surveillance camera to receiver that is as user video surveillance system. The frame video analysis of the H.264 protocol has performed on a live streaming server in the form of embedded systems integrated in video surveillance system with surveillance cameras As a result, the system shows that the H.264 protocol provides good video quality compression, so the implementation of Video Streaming traffic this vehicle promises to help facilitate the public in getting information and also know the real time traffic conditions as well as effective and efficient. Implementation streaming video in real time this monitor traffic conditions in a location with the detection of the availability of CCTV (Closed Circuit Television) and Raspberry Pi cameras as a server.</span></em></p>

scholarly journals Development of web-based surveillance system for Internet of Things (IoT) application

2019 ◽  
Vol 8 (3) ◽  
pp. 1108-1116
Author(s):  
Siti Noorjannah Ibrahim ◽  
A. H. Hasan Basri ◽  
Ani Liza Asnawi
Keyword(s):  
Mobile Application ◽  
Surveillance System ◽  
Smart Home ◽  
Communication Protocol ◽  
Raspberry Pi ◽  
Wireless Technology ◽  
Web Based ◽  
Smart System ◽  
Development Tools ◽  
Ip Camera

With the advancement of wireless technology, our dependency on smart system has increases to a higher level than before. Without doubt, integration between different technologies becomes inevitable in order create affordable surveillance system. This paper presents the development of with web-based surveillance system with a dedicated Android-based mobile application using a Raspberry Pi and its supporting components i.e., Pi-Camera, PIR motion sensor, Ultrasonic sensor, web-based mobile application. The designed system also utilizes Node-Red development tools as the platform to integrate all components of the system, MQTT as the communication protocol for data acquisition and ThingSpeak as the middleware. The proposed system can be implemented over the internet using any computer and mobile devices, at anywhere and anytime. The system can automatically stream live video viewed from the Android mobile application and the Raspberry Pi device can send an alert notification to users via email and SMS. The system can be one possible features in smart home system and is considered as an affordable solution, customizable and easy to implement in comparison with other commercial surveillance system products such as CCTV or IP Camera.

scholarly journals Real time face recognition of video surveillance system using haar cascade classifier

2021 ◽  
Vol 21 (3) ◽  
pp. 1389
Author(s):  
Adlan Hakim Ahmad ◽  
Sharifah Saon ◽  
Abd Kadir Mahamad ◽  
Cahyo Darujati ◽  
Sri Wiwoho Mudjanarko ◽  
...  
Keyword(s):  
Face Recognition ◽  
Real Time ◽  
Video Surveillance ◽  
Surveillance System ◽  
Raspberry Pi ◽  
Video Surveillance System ◽  
Cascade Classifier ◽  
Camera System ◽  
Surveillance Camera ◽  
Haar Cascade

<div>This project investigates the use of face recognition for a surveillance system. The normal video surveillance system uses in closed-circuit television (CCTV) to record video for security purpose. It is used to identify the identity of a person through their appearances on the recorded video, manually. Today’s video surveillance camera system usually not occupied with a face recognition system. With some modification, a surveillance camera system can be used as face detection and recognition that can be done in real-time. The proposed system makes use of surveillance camera system that can identify the identity of a person automatically by using face recognition of Haar cascade classifier. The hardware used for this project were Raspberry Pi as a processor and Pi Camera as a camera module. The development of this project consist of three main phases which were data gathering, training recognizer, and face recognition process. All three phases have been executed using Python programming and OpenCV library, which have been performed in a Raspbian operation system. From the result, the proposed system successfully displays the output result of human face recognition, with facial angle within ±40°, in medium and normal light condition, and within a distance of 0.4 to 1.2 meter. Targeted image are allowed to wear face accessory as long as not covering the face structure. In conclusion, this system considered, can reduce the cost of manpower in order to identify the identity of a person in real time situation.</div>

PROTOTYPE ALAT PEMANTAU SALURAN AIR BAWAH TANAH DENGAN MENGGUNAKAN WEBCAM C170 BERBASIS RASPBERRY PI

2015 ◽  
Vol 1 (1) ◽  
pp. 37-45
Author(s):  
Irwansyah Irwansyah ◽  
Hendra Kusumah ◽  
Muhammad Syarif
Keyword(s):  
Real Time ◽  
Monitoring System ◽  
Public Awareness ◽  
Underground Water ◽  
Raspberry Pi ◽  
Laptop Computer ◽  
Web Browser ◽  
Disaster Monitoring ◽  
The Times ◽  
Human Desire

Along with the times, recently there have been found tool to facilitate human’s work. Electronics is one of technology to facilitate human’s work. One of human desire is being safe, so that people think to make a tool which can monitor the surrounding condition without being monitored with people’s own eyes. Public awareness of the underground water channels currently felt still very little so frequent floods. To avoid the flood disaster monitoring needs to be done to underground water channels.This tool is controlled via a web browser. for the components used in this monitoring system is the Raspberry Pi technology where the system can take pictures in real time with the help of Logitech C170 webcam camera. web browser and Raspberry Pi make everyone can control the devices around with using smartphone, laptop, computer and ipad. This research is expected to be able to help the users in knowing the blockage on water flow and monitored around in realtime.

Conception and implementation of a course for professional training and education in the field of IoT and smart home security

2020 ◽  
Vol 2020 (3) ◽  
pp. 277-1-277-8
Author(s):  
Michael Pilgermann ◽  
Thomas Bocklisch ◽  
Reiner Creutzburg
Keyword(s):  
Smart Home ◽  
Professional Training ◽  
Raspberry Pi ◽  
Science Students ◽  
Training And Education ◽  
Home Security ◽  
Master Level ◽  
University Course ◽  
Home Technology ◽  
Smart Home Technology

The aim of this paper is to describe the new concept of a Master level university course for computer science students to address the issues of IoT and Smart Home Security. This concept is well suited for professional training for interested customers and allows the creation of practical exercises. The modular structure of the course contains lectures and exercises on the following topics: 1. Introduction - IoT and Smart Home Technology and Impact 2. Homematic Technology and Smart Home Applications 3. Loxone Technology and Smart Home Applications 4. Raspberry Pi and Smart Home Applications 5. Security of IoT and Smart Home Systems and contains laboratory exercises of diverse complexities.

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