Implement Surveillance System using Raspberry PI and OpenCV
Keywords:
IOT ,live video streaming, face detection , face recognition ,Raspberry PI, open CV , Haar cascade, LBPH.Abstract
The Internet of Things has witnessed increasing growth in recent years, and it is the embodiment of smart services that resulted from the transformation of things into smart, connected things that are able to interact with their surroundings, and one of the most prominent realistic examples in this field is smart Surveillance applications, security has always been a source of great concern for homes, companies and institutions, The Internet of Things came loaded with innovative and smart solutions for buildings to achieve these goals, and more secure systems were achieved with cheaper costs and less energy use than using the old system such as closed-circuit television (CCTV). The same applies to facial recognition, where it has obtained a wide field of research and a great application in the field of the Internet of things.
we built an effective and inexpensive smart home monitoring application using the Raspberry PI and Open CV, the application broadcasts real-time video (live video streaming) using the pi-camera connected to the Raspberry PI when motion is detected, then the frame is sent to the server using the python socket API to be processed by face detection using Haar cascade algorithm and face recognition using LBPH algorithm.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 1970 https://creativecommons.org/licenses/by-nc-sa/4.0/
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
The authors retain the copyright and grant the right to publish in the magazine for the first time with the transfer of the commercial right to Tishreen University Journal for Research and Scientific Studies - Engineering Sciences Series
Under a CC BY- NC-SA 04 license that allows others to share the work with of the work's authorship and initial publication in this journal. Authors can use a copy of their articles in their scientific activity, and on their scientific websites, provided that the place of publication is indicted in Tishreen University Journal for Research and Scientific Studies - Engineering Sciences Series . The Readers have the right to send, print and subscribe to the initial version of the article, and the title of Tishreen University Journal for Research and Scientific Studies - Engineering Sciences Series Publisher
journal uses a CC BY-NC-SA license which mean
You are free to:
- Share — copy and redistribute the material in any medium or format
- Adapt — remix, transform, and build upon the material
- The licensor cannot revoke these freedoms as long as you follow the license terms.
- Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- NonCommercial — You may not use the material for commercial purposes.
- ShareAlike — If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.