Integration of Internet Protocol and Embedded System On IoT Device Automation

Algani, Yousef MethkalAbd; Balaji, S; AlbertRaj, A; Elangovan, G.; Kumar, Pavan; Agordzo, George K.; Pentang, Jupeth; Bala, B Kiran

doi:10.21203/rs.3.rs-947704/v1

Cited by 2 publications

(2 citation statements)

References 5 publications

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“…A Master and slave system comprises the Z-Wave infrastructure. The Master manages the network's scheduling and commands all slaves linked to it [78].…”

Section: Z-wavementioning

confidence: 99%

Internet of Things: A Comprehensive Overview on Protocols, Architectures, Technologies, Simulation Tools, and Future Directions

et al. 2023

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The Internet of Things (IoT) is a global network of interconnected computing, sensing, and networking devices that can exchange data and information via various network protocols. It can connect numerous smart devices thanks to recent advances in wired, wireless, and hybrid technologies. Lightweight IoT protocols can compensate for IoT devices with restricted hardware characteristics in terms of storage, Central Processing Unit (CPU), energy, etc. Hence, it is critical to identify the optimal communication protocol for system architects. This necessitates an evaluation of next-generation networks with improved characteristics for connectivity. This paper highlights significant wireless and wired IoT technologies and their applications, offering a new categorization for conventional IoT network protocols. It provides an in-depth analysis of IoT communication protocols with detailed technical information about their stacks, limitations, and applications. The study further compares industrial IoT-compliant devices and software simulation tools. Finally, the study provides a summary of the current challenges, along with a broad overview of the future directions to tackle the challenges, in the next IoT generation. This study aims to provide a comprehensive primer on IoT concepts, protocols, and future insights that academics and professionals can use in various contexts.

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“…A Master and slave system comprises the Z-Wave infrastructure. The Master manages the network's scheduling and commands all slaves linked to it [78].…”

Section: Z-wavementioning

confidence: 99%

Internet of Things: A Comprehensive Overview on Protocols, Architectures, Technologies, Simulation Tools, and Future Directions

et al. 2023

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“…Many kinds of research have been conducted on aspects of face detection, such as identification, verification [16], or alone face detection [24], [27]. Using mask detection in such a system plays the main role such as protecting from intruders [25], [26]. This paper seeks to design a real-time solution for an automated control system that reads streaming videos from multiple IP cameras connected to a network.…”

Section: Computer Vision-based Video Analyticsmentioning

confidence: 99%

COVID-19 Face Mask Detection Alert System

2022

CEIS

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Study shows that mask-wearing is a critical factor in stopping the COVID-19 transmission. By the time of this article, most states have mandated face masking in public space. Therefore, real-time face mask detection becomes an essential application to prevent the spread of the pandemic. This study will present a face mask detection system that can detect and monitor mask-wearing from camera feeds and alert when there is a violation. The face mask detection algorithm uses a haar cascade classifier to find facial features from the camera feed and then utilizes it to detect the mask-wearing status. With the increasing number of cases all over the world, a system to replace humans to check masks on the faces of people is greatly needed. This system satisfies that need. This system can be employed in public places like transport stations and malls. It will be of great help in companies and huge establishments where there will be a lot of workers. Alongside this, we have used basic concepts of transfer learning in neural networks to finally output the presence or absence of a face mask in an image or a video stream. Experimental results show that our model performs well on the test data with 100 percent and 99 percent precision and recall, respectively. We are making a savvy framework that will identify whether the specific user has worn the mask or not and further tell the accuracy level of the detection. Our framework will be python and AI-based which will be safe and quick for implementation. This system will be of great help there because it is easy to obtain and store the data of the employees working in that Company and will very easily find the people who are not wearing the mask and a will be sent to that respective person to take Precautions not wearing a mask. Potential delays are analyzed, and efforts are made to reduce them to achieve real-time detection. The experiment result shows that the presented system achieves a real-time 45fps 720p Video output, with a face mask detection response of 0.15s and the accuracy of detection 99%.

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Integration of Internet Protocol and Embedded System On IoT Device Automation

Cited by 2 publications

References 5 publications

Internet of Things: A Comprehensive Overview on Protocols, Architectures, Technologies, Simulation Tools, and Future Directions

Internet of Things: A Comprehensive Overview on Protocols, Architectures, Technologies, Simulation Tools, and Future Directions

COVID-19 Face Mask Detection Alert System

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