Akıllı Ev Sistemleri için Geliştirilen Yapay Sinir Ağı Tabanlı Gezgin Hizmet Robotu

Güven, Cevdet Tamer; Aci, Mehmet

doi:10.31590/ejosat.636386

Cited by 2 publications

(2 citation statements)

References 5 publications

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“…Our research introduces an intelligent IoT remote sensing of face detection and control system based on UAV. The IOT gateway provides automatic integration of UAV into an industrial system, while UAV photographs are scientifically and instantaneously calculated and examined in the cloud [39].…”

Section: Industrial Internet Of Things (Iot) In Image Detectionmentioning

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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Section: Industrial Internet Of Things (Iot) In Image Detectionmentioning

confidence: 99%

COVID-19 Face Mask Detection Alert System

2022

CEIS

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“…This system is a mobile service robot that travels around the house in times of electrical failure or when there is no home electricity. It provides informing the landlord via text message by visiting all the rooms for any problems that may occur in the house (Güven and Acı 2019).…”

Section: Introductionmentioning

confidence: 99%

Deep Learning Based Mask Detection in Smart Home Entries During the Epidemic Process

Cerit

Bayır

2020

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. In this study, "smart home" systems were designed against Covid-19 virus, which negatively affects life all over the world, and viruses that may become epidemics later. Our homes need to be more hygienic and safe than yesterday. One of these hygiene rules is the masks that cover our nose and mouth. It is very important to use a mask to prevent further spread of the virus. Whether or not the people in smart homes are wearing masks at home will be diagnosed with the deep learning method. Hosts will be warned if they do not have masks. Brightness level control card and illuminator have been added to smart home entrances to better identify people's faces. With PID, the illumination level is fixed at the desired value, and with IOT technology, people can follow the illumination level at the smart home entrance from the mobile application.

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Akıllı Ev Sistemleri için Geliştirilen Yapay Sinir Ağı Tabanlı Gezgin Hizmet Robotu

Cited by 2 publications

References 5 publications

COVID-19 Face Mask Detection Alert System

COVID-19 Face Mask Detection Alert System

Deep Learning Based Mask Detection in Smart Home Entries During the Epidemic Process

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