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Proceedings ArticleDOI

Low cost real-time system monitoring using Raspberry Pi

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TLDR
The design and implementation of a low-cost system monitoring based on Raspberry Pi, a single board computer which follows Motion Detection algorithm written in Python as a default programming environment, to significantly decrease storage usage and save investment costs are described.
Abstract
Nowadays, the Closed-Circuit Television (CCTV) surveillance system is being utilized in order to keep peace and provide security to people. There are several defects in the video surveillance system, such as: picture is indistinct, anomalies cannot be identified automatically, a lot of storage spaces are needed to save the surveillance information, and prices remain relatively high. This paper describes the design and implementation of a low-cost system monitoring based on Raspberry Pi, a single board computer which follows Motion Detection algorithm written in Python as a default programming environment. In addition, the system uses the motion detection algorithm to significantly decrease storage usage and save investment costs. The algorithm for motion detection is being implemented on Raspberry Pi, which enables live streaming camera along with detection of motion. The live video camera can be viewed from any web browser, even from mobile in real-time.

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References
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Proceedings ArticleDOI

Low cost object sorting robotic arm using Raspberry Pi

TL;DR: Raspberry Pi is used to investigate its applicative and cost effective use as a robotic arm in Object Sorting, which is Revolutionizing Robotic Systems in Industrial manufacturing plants by making them cheaper, compact & along with the same reliability as that of a dedicated PC.
Journal ArticleDOI

Robust and Sensitive Video Motion Detection for Sleep Analysis

TL;DR: A camera-based system combining video motion detection, motion estimation, and texture analysis with machine learning for sleep analysis is proposed and can give an indication of the PLMI score.
Journal Article

Low Cost Object Sorting Robotic Arm Using Raspberry Pi

TL;DR: The problem of gesture recognition is narrowed down to that of hand gesture recognition and specifically deals with finger count extraction to facilitate further processing using the control so effected and a lucid albeit efficient algorithm is implemented using the embedded c System Generator software tool.
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Tracking system for mobile user based on CCTV

TL;DR: A safety insurance approach is proposed, in which a user can inform his/her location for close observation via CCTV system if he/she feels a potential threat and a tracking system for mobile users based on CCTV system is studied.
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