Design of Machine Learning Detection Mask Using Yolo and Darknet on Nvidia Jetson Nano

Prasetia, Deny Danu; Yuswanto, Andrie; Wibowo, Budi

doi:10.31943/teknokom.v5i1.69

Cited by 3 publications

(2 citation statements)

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“…A Raspberry-PI camera was used which captured the live streaming video and converted them into images, which were later used as the data. The paper [30] talks about Darknet which is also used for object detection which is an open source neural network framework written in the C and CUDA programming languages. The Jetson Nano is a System On Module (SoM) and developer kit from the Nvidia Jetson family.…”

Section: Literature Reviewmentioning

confidence: 99%

An Automated Face-mask Detection System using YOLOv5 for Preventing Spread of COVID-19

Jishan¹,

Alam²,

Mazumder³

et al. 2023

IJC

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Object detection systems based on deep learning have been immensely successful incomplex object detection tasks images and have shown potential in a wide range of real-life applicationsincluding the COVID-19 pandemic. One of the key challenges in containing and mitigating the infectionamong the population is to ensure and enforce the proper use of face masks. The objective of this paperis to detect the proper use of facial masks among the urban population in a megacity. In this study, wetrained and validated a new dataset to detect images such as ‘with mask’, ‘without mask’, and ‘masknot in position’ using YOLOv5. The dataset is comprised of 6550 images with the three classes. Thedataset attained a commendable performance accuracy of 95% on mAP. This study can be implementedfor automated scanning for monitoring the proper use of face masks in different settings of public spaces.

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Section: Literature Reviewmentioning

confidence: 99%

An Automated Face-mask Detection System using YOLOv5 for Preventing Spread of COVID-19

Jishan¹,

Alam²,

Mazumder³

et al. 2023

IJC

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“…After 4000 epochs, mAP is 0.96. This innovative technique for photographing face masks yielded 96% accurate results [30]. Moreover, in the paper [31], to prevent the spread of COVID-19, the government requires public mask use.…”

Section: Literature Reviewmentioning

confidence: 99%

YOLOv3 and YOLOv5-based automated facial mask detection and recognition systems to prevent COVID-19 outbreaks

Jishan,

Bedushe,

Rifat

et al. 2023

SITech

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Object detection system in light of deep learning have been monstrously effective in complex item identification task images and have shown likely in an extensive variety of genuine applications counting the Coronavirus pandemic. Ensuring and enforcing the proper use of face masks is one of the main obstacles in containing and reducing the spread of the infection among the population. This paper aims to find out how the urban population of a megacity uses facial masks correctly. Using YOLOv3 and YOLOv5, we trained and validated a brand-new dataset to identify images as "with mask", "without mask", and "mask not in position". In the YOLOv3 we carried out three pre-trained models which are: YOLOv3, YOLOv3-tiny, and SPP-YOLOv3. In addition, we utilized five pre-trained models in the YOLOv5: YOLOv5n, YOLOv5s, YOLOv5m, YOLOv5l, and YOLOv5x. The dataset is included 6550 pictures with three classes. On mAP, the dataset achieved a commendable 95% performance accuracy. This research can be used to monitor the proper use of face masks in various public spaces through automated scanning.

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Recibimientos de gobernadores en Asunción del Paraguay (siglo XVII): la entrada de Luis Céspedes de Xeria y la integración de una sociedad colonial al Imperio español

Fahrenkrog

2023

revindias

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Este artículo tiene como objetivo estudiar los recibimientos de gobernadores en Asunción colonial (siglo XVII). Estas ceremonias contribuyeron a integrar al Imperio español una sociedad colonial e identidad particular, entendida esta como un proceso relacional en el cual ciertas prácticas culturales, como los recibimientos, eran construidas de manera local a la vez que formaban parte de las dinámicas imperiales. Para ello se analiza, por medio de la lectura de cartas e informes, la entrada / visita realizada por el gobernador Luis Céspedes de Xeria en 1628-1629 para tomar posesión de la Gobernación del Paraguay, evento que marcará la «costumbre» a seguir en Asunción

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Design of Machine Learning Detection Mask Using Yolo and Darknet on Nvidia Jetson Nano

Cited by 3 publications

References 0 publications

An Automated Face-mask Detection System using YOLOv5 for Preventing Spread of COVID-19

An Automated Face-mask Detection System using YOLOv5 for Preventing Spread of COVID-19

YOLOv3 and YOLOv5-based automated facial mask detection and recognition systems to prevent COVID-19 outbreaks

Recibimientos de gobernadores en Asunción del Paraguay (siglo XVII): la entrada de Luis Céspedes de Xeria y la integración de una sociedad colonial al Imperio español

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