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Title: :  Raspberry Pi Motion Detection Surveillance System
PaperId: :  15064
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 7 Issue 4 2021
DUI:    16.0415/IJARIIE-15064
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Opoku Stephanie MensahKwame Nkrumah University of Science and Technology (KNUST)
Danso Juliana MantebeaUniversity of Electronic Science and Technology of China
Gyamfi Enoch OpaninUniversity of Electronic Science and Technology of China
Dr. Kwame Ofosuhene PeasahKwame Nkrumah University Of Science and Technology
Professor Michael AsanteKwame Nkrumah University Of Science and Technology
Rodor Gershon Nanjing University of Aeronautics and Astronautics

Abstract

Computer Science
Embedded real-time surveillance intruder detection, Camera and motion detection, Facial recognition, Raspberry-pi SBC, PIR sensor, CCTV, Raspbian Operating System
As an essential constituent of many associations’ security and safety priority, video surveillance has established its importance and benefits numerous times by providing immediate supervising of possessions, people, environment and property. This project deals with the design approach of an Embedded Real-Time Surveillance System Based Raspberry Pi Section Border Controller (SBC) for intruder detection that reinforces surveillance technology to provide essential security to our life and associated control and alert operations. The proposed security solution centers on our novel integration of cameras and motion detectors into web application. Raspberry Pi operates and controls motion detectors and video cameras for remote sensing and surveillance, streams live video and records it for future playback. This research is focused on developing a surveillance system that detects strangers and to respond speedily by capturing and relaying images to owner based wireless module. This Raspberry Pi based Smart Surveillance System presents the idea of monitoring a particular place in a remote area. The proposed solution offers a cost-effective ubiquitous surveillance solution, efficient and easy to implement. This project will also present the idea of motion detection and tracking using image processing. This type of technology is of great importance when it comes to surveillance and security. Live video streams will therefore be used to show how objects can be detected then tracked.

Citations

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IJARIIE Opoku Stephanie Mensah, Danso Juliana Mantebea, Gyamfi Enoch Opanin, Dr. Kwame Ofosuhene Peasah, Professor Michael Asante, and Rodor Gershon . "Raspberry Pi Motion Detection Surveillance System" International Journal Of Advance Research And Innovative Ideas In Education Volume 7 Issue 4 2021 Page 1694-1713
MLA Opoku Stephanie Mensah, Danso Juliana Mantebea, Gyamfi Enoch Opanin, Dr. Kwame Ofosuhene Peasah, Professor Michael Asante, and Rodor Gershon . "Raspberry Pi Motion Detection Surveillance System." International Journal Of Advance Research And Innovative Ideas In Education 7.4(2021) : 1694-1713.
APA Opoku Stephanie Mensah, Danso Juliana Mantebea, Gyamfi Enoch Opanin, Dr. Kwame Ofosuhene Peasah, Professor Michael Asante, & Rodor Gershon . (2021). Raspberry Pi Motion Detection Surveillance System. International Journal Of Advance Research And Innovative Ideas In Education, 7(4), 1694-1713.
Chicago Opoku Stephanie Mensah, Danso Juliana Mantebea, Gyamfi Enoch Opanin, Dr. Kwame Ofosuhene Peasah, Professor Michael Asante, and Rodor Gershon . "Raspberry Pi Motion Detection Surveillance System." International Journal Of Advance Research And Innovative Ideas In Education 7, no. 4 (2021) : 1694-1713.
Oxford Opoku Stephanie Mensah, Danso Juliana Mantebea, Gyamfi Enoch Opanin, Dr. Kwame Ofosuhene Peasah, Professor Michael Asante, and Rodor Gershon . 'Raspberry Pi Motion Detection Surveillance System', International Journal Of Advance Research And Innovative Ideas In Education, vol. 7, no. 4, 2021, p. 1694-1713. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Raspberry_Pi_Motion_Detection_Surveillance_System_ijariie15064.pdf (Accessed : 20 April 2023).
Harvard Opoku Stephanie Mensah, Danso Juliana Mantebea, Gyamfi Enoch Opanin, Dr. Kwame Ofosuhene Peasah, Professor Michael Asante, and Rodor Gershon . (2021) 'Raspberry Pi Motion Detection Surveillance System', International Journal Of Advance Research And Innovative Ideas In Education, 7(4), pp. 1694-1713IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Raspberry_Pi_Motion_Detection_Surveillance_System_ijariie15064.pdf (Accessed : 20 April 2023)
IEEE Opoku Stephanie Mensah, Danso Juliana Mantebea, Gyamfi Enoch Opanin, Dr. Kwame Ofosuhene Peasah, Professor Michael Asante, and Rodor Gershon , "Raspberry Pi Motion Detection Surveillance System," International Journal Of Advance Research And Innovative Ideas In Education, vol. 7, no. 4, pp. 1694-1713, Jul-Aug 2021. [Online]. Available: https://ijariie.com/AdminUploadPdf/Raspberry_Pi_Motion_Detection_Surveillance_System_ijariie15064.pdf [Accessed : 20 April 2023].
Turabian Opoku Stephanie Mensah, Danso Juliana Mantebea, Gyamfi Enoch Opanin, Dr. Kwame Ofosuhene Peasah, Professor Michael Asante, and Rodor Gershon . "Raspberry Pi Motion Detection Surveillance System." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 7 number 4 (20 April 2023).
Vancouver Opoku Stephanie Mensah, Danso Juliana Mantebea, Gyamfi Enoch Opanin, Dr. Kwame Ofosuhene Peasah, Professor Michael Asante, and Rodor Gershon . Raspberry Pi Motion Detection Surveillance System. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2021 [Cited : 20 April 2023]; 7(4) : 1694-1713. Available from: https://ijariie.com/AdminUploadPdf/Raspberry_Pi_Motion_Detection_Surveillance_System_ijariie15064.pdf
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