Advanced Raspberry Pi Surveillance (ARS) system

Vamsikrishna, Patchava; Hussain, Shaik Riyaz; Ramu, Neelavarapu; Rao, Paila Mohan; Rohan, Goli; Teja, Behara Durga Siva

doi:10.1109/gcct.2015.7342784

Cited by 9 publications

(3 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Since the system is built on CCN, it is not particulary feasible in real world scenarios where almost all networks are IP-based. Similar work related to surveillance on the IoT using resource constrained devices can be found in [7][8][9][10]; however, none of these focus specifically on low latency video and they do not present any measurements on how low delay they achieved in their applications.…”

Section: Low Delay Video Streamingmentioning

confidence: 99%

Low Delay Video Streaming on the Internet of Things Using Raspberry Pi

2016

View full text Add to dashboard Cite

Abstract:The Internet of Things is predicted to consist of over 50 billion devices aiming to solve problems in most areas of our digital society. A large part of the data communicated is expected to consist of various multimedia contents, such as live audio and video. This article presents a solution for the communication of high definition video in low-delay scenarios (<200 ms) under the constraints of devices with limited hardware resources, such as the Raspberry Pi. We verify that it is possible to enable low delay video streaming between Raspberry Pi devices using a distributed Internet of Things system called the SensibleThings platform. Specifically, our implementation transfers a 6 Mbps H.264 video stream of 1280 × 720 pixels at 25 frames per second between devices with a total delay of 181 ms on the public Internet, of which the overhead of the distributed Internet of Things communication platform only accounts for 18 ms of this delay. We have found that the most significant bottleneck of video transfer on limited Internet of Things devices is the video coding and not the distributed communication platform, since the video coding accounts for 90% of the total delay.

show abstract

Section: Low Delay Video Streamingmentioning

confidence: 99%

Low Delay Video Streaming on the Internet of Things Using Raspberry Pi

2016

View full text Add to dashboard Cite

show abstract

“…Advanced Raspberry Pi Surveillance (ARS) system. In the realm of bank security systems, conducting nighttime surveillance manually poses challenges was presented in [1]. To address this issue, an Automated Recognition and Surveillance (ARS) system emerges as a viable alternative, effectively replacing manual observation and promptly alerting security officials.…”

Section: Existing Methodsmentioning

confidence: 99%

Enhancing Residential Security: Implementation of an IoT-based Anti-Theft Flooring System

Ram Kumar,

Vamsi Krishna,

Chandra

et al. 2024

E3S Web of Conf.

View full text Add to dashboard Cite

The Anti-Theft Flooring System (ATFS) is Internet of Things (IoT) solution developed for enhancing residential safety and security. The system employs pressure sensors that are integrated into the flooring or into the floor mat, this system easily identifies intruder presence upon stepping, initiating a secure One-Time Password (OTP) generation process. The OTP is dispatched to pre-registered mobile numbers, serving as a safe and secure verification mechanism. The OTP when entered correctly within time triggers the system to unlock the door automatically. In case, OTP is entered wrongly or remains unentered for a 60-second timeframe, a Global System for Mobile (GSM) communication module triggers an alarm to promptly inform the user of potential security threats. This is how the system seamlessly combines IoT technology for real-time communication, offering an effective and proactive approach to residential safety at lower costs.

show abstract

“…To make a mobile agricultural control system a small but powerful data-processing tool or microcomputer is needed. Raspberry Pi 3 is a useful tool to make the control system of a mobile agricultural robot [3].…”

Section: Introductionmentioning

confidence: 99%

4G network performance analysis for real-time telemetry data transmitting to mobile agricultural robot

Roberts

Pecka

2018

Engineering for Rural Development

View full text Add to dashboard Cite

Since the beginning of civilization transportation has been one of the most important problems. Even though today's vehicles carry cargoes more than a thousand kilometres far, small goods at short distances are still transported on small wheels or on small motor vehicles. With the help of such robots one person is able to drive multiple robots, which reduces labour costs, and therefore requires remotely controlled robots. Mobile equipment management is often built up by individual infrastructures, while mobile operators are now able to provide stable and fast internet connections which performance limits are unused. Nowadays, the availability of mobile internet is provided to 99 % from the territory of the country. Existing resources and the full use of infrastructure are one of the cornerstones of our time, so it would be useful to make the most of the opportunities offered by the mobile communications. The main goal of the article is to analyse whether the 4G mobile data network is capable of providing remote management of mobile agricultural robots. In the article the existing mobile robot management systems are analysed. Flow rate checks have been performed, but no data flow stability tests have been performed to ensure the management of mobile agriculture robots. There has been performed a 4G mobile network data flow stability analysis. The article explores the real-time requirements for providing remote control of agricultural robots. The article outlines the results of the analysis.

show abstract

Advanced Raspberry Pi Surveillance (ARS) system

Cited by 9 publications

References 3 publications

Low Delay Video Streaming on the Internet of Things Using Raspberry Pi

Low Delay Video Streaming on the Internet of Things Using Raspberry Pi

Enhancing Residential Security: Implementation of an IoT-based Anti-Theft Flooring System

4G network performance analysis for real-time telemetry data transmitting to mobile agricultural robot

Contact Info

Product

Resources

About