An Internet of things approach for motion detection using Raspberry Pi

Ansari, Aamir Nizam; Sedky, Mohamed; Sharma, Neelam; Tyagi, Anurag

doi:10.1109/icaiot.2015.7111554

Cited by 81 publications

(34 citation statements)

References 8 publications

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“…The proposed system [2], would detect and take snapshots and videos of the motion when detected and upload to an external server. The major use of the 'Motion Detection' is at homes, buildings and also for surveillance for security for example of server rooms.…”

Section: A An Internet Of Things Approach For Motion Detection Usingmentioning

confidence: 99%

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Survey on Home Security Surveillance System Based on Wi-Fi Connectivity Using Raspberry Pi and Iot Module

Swathi¹

2018

ijarcs

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This paper details the design and development of Wi-Fi connectivity based on home security surveillance camera using Raspberry Pi and an IoT Module reducing continuous human monitoring and controlling with enhanced performance and effective results.Adding wireless fidelity to embedded systems will open up various feasibilities such as worldwide monitoring and control, reliable data storage etc. This system comprises of wireless sensor nodes and a controller section for surveillance. Remote user alerts, live video streaming, and portability are the prime features of the system. Modular design is followed so that any number of nodes can be added or removed; data acquisition is used to sample signals and measure real world physical conditions. The user is warned via e-mails, phone calls or SMS after an unusual behavior occurs and an event notification is sent which shows the events captured by the camera. The IoT module eliminates the need for a microcontroller and wireless transceiver module in a sensor node, thus it makes the node compact, cost-effective and easy to use. The biggest advantage of the system is that the user can seek surveillance from anywhere in the world and can respond according to the situations.

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Section: A An Internet Of Things Approach For Motion Detection Usingmentioning

confidence: 99%

“…(3) According to (2) and (3), the sensing probability of multiple sensors must be greater than the sensing probability of any single sensor. We know that when P single is greater than 0.5, the P multiple (n) will be greater than 0.5.…”

Section: Design and Implementation Of An Embedded Home Surveillancmentioning

confidence: 99%

Survey on Home Security Surveillance System Based on Wi-Fi Connectivity Using Raspberry Pi and Iot Module

Swathi¹

2018

ijarcs

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“…c. Sistemas de vigilancia y control en hogares: IoT requiere tan solo de una cámara y ciertos algoritmos para poder realizar el análisis de imágenes y videos, si bien es cierto las cámaras pueden ser de distintas características, pero lo que se requiere específicamente es capturar imágenes. Basados en esta idea (Ansari, A. N., Sedky, M., Sedky, M., & Tyagi, A., 2015) han implementado un sistema de vigilancia para domicilios usando una placa Raspberry Pi y una cámara web, con un costo de aproximadamente 60 dólares se pueden obtener imágenes en tiempo real, el sistema cuenta con un proceso de notificación mediante correo electrónico o mensajería que le indicará al propietario si dentro de su hogar se ha detectado un movimiento. El sistema se basa en el uso de scripts en Python y un almacenamiento de información en un servidor FTP externo.…”

Section: Aplicaciones De Iot Y Visión Artificialunclassified

“…Internet de las Cosas es considerado como una verdadera revolución en el mundo tecnológico, especialmente en las comunicaciones, según (Chen, Xu, Liu, Hu, & Wang, 2014) se trata de una red inteligente que permite el intercambio de información y comunicación entre dispositivos inteligentes, por otra parte (Ansari, A. N., Sedky, M., Sedky, M., & Tyagi, A., 2015) define a IoT como una potente plataforma capaz de conectar dispositivos para monitorear aspectos de la vida cotidiana.…”

Section: Introductionunclassified

Internet de las Cosas y Visión Artificial, Funcionamiento y Aplicaciones: Revisión de Literatura

et al. 2017

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Internet de las cosas (o también conocido como IoT) es una de las tecnologías más nombradas en la actualidad debido a la capacidad que prevé para conectar todo tipo de dispositivos al Internet, si a las potencialidades de IoT le adicionamos otra tecnología de alto impacto como lo es la Visión Artificial tenemos un amplio campo de aplicaciones innovadoras, donde el procesamiento de imágenes y video en tiempo real permiten la visualización de grandes cantidades de datos en internet. Las principales aplicaciones que se desarrollan con IoT y Visión Artificial pueden ser implementadas en educación, medicina, edificios inteligentes, sistemas de vigilancia de personas y vehículos, entre otros. Este tipo de aplicaciones mejoran la calidad de vida de los usuarios, sin embargo, para su desarrollo se requiere una infraestructura que permita la convergencia de diferentes protocolos y dispositivos, pero de manera especial que puedan manejar las diferentes fases de la adquisición de imágenes. En este trabajo se ha realizado una revisión de los inicios, conceptos, tecnologías y aplicaciones ligados a la Visión Artificial con el Internet de las Cosas para poder comprender de forma precisa el impacto de sus aplicaciones en la vida cotidiana.

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“…There is no need to have machines at both ends to get the desired output thus, for home users this project will prove to be of great use as it has low energy consumption and also comes at a low cost. Also, enhancing the capabilities of these technologies and integrating them, by introducing the 'Motion Detection' system and to contribute to the current security system [7][8].…”

Section: Introductionmentioning

confidence: 99%

Smart Motion Detection

Abduelhadi¹,

Elnour²

2017

IOSR JEEE

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:The development in embedded system has proved to a reliable solution in motion detection system, so motion detection is one of the key techniques in surveillance. This paper mainly focuses to improve motion detection based on low computing system "Raspberry Pi" where USB camera used to capture image when detected the unauthorized Activity using pyroelectric infrared (PIR) sensors. This system is suitable for small personal area surveillance offices/homes bank locker room, parking entrance. Whenever the motion is detected through PIR sensor the image is captured through camera and stored in the raspberry pi module and then send to email sever. The internet of things (IOT) based application used to get notifications and view the images of the motion occurrence over internet through email server, thus the system provides an innovative approach to theft detection using IOT.

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An Internet of things approach for motion detection using Raspberry Pi

Cited by 81 publications

References 8 publications

Survey on Home Security Surveillance System Based on Wi-Fi Connectivity Using Raspberry Pi and Iot Module

Survey on Home Security Surveillance System Based on Wi-Fi Connectivity Using Raspberry Pi and Iot Module

Internet de las Cosas y Visión Artificial, Funcionamiento y Aplicaciones: Revisión de Literatura

Smart Motion Detection

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