Arsitektur Internet of Things (IoT) Berskala Industri dengan fitur Over The Air Update

I Gusti Ngurah Darma Paramartha; I Nyoman Hary Kurniawan; Gde Brahupadhya Subiksa; Ayu Satya Kartika

doi:10.38043/tiers.v2i2.3311

Arsitektur Internet of Things (IoT) Berskala Industri dengan fitur Over The Air Update

TIERS Information Technology Journal ◽

10.38043/tiers.v2i2.3311 ◽

2021 ◽

Vol 2 (2) ◽

pp. 31-36

Author(s):

I Gusti Ngurah Darma Paramartha ◽

I Nyoman Hary Kurniawan ◽

Gde Brahupadhya Subiksa ◽

Ayu Satya Kartika

Keyword(s):

Internet Of Things ◽

Open Source

Perangkat Internet of Things(IoT) yang diimplementasikan di banyak tempat dapat mengalami perubahan berupa update firmware. Update firmware pada sebuah perangkat Internet of Things (IoT) biasanya dilakukan dengan cara mengambil perangkat Internet of Things(IoT), lalu menghubungkan ke komputer menggunakan kabel USB, selanjutnya melakukan update firmware terhadap perangkat Internet of Things(IoT) dan mengembalikan perangkat ke tempat. Dengan adanya metode pembaruan Over The Air (OTA), pembaruan firmware pada perangkat Internet of Things(IoT) dapat dilakukan tanpa harus datang ke tempat perangkat Internet of Things (IoT) tersebut. Sehingga ketika terdapat pembaruan firmware, perangkat Internet of Things (IoT) dapat langsung melakukan download dan menginstall sendiri tanpa intervasi manusia. Over The Air update firmware adalah memuat firmware hasil build dari Arduino IDE pada perangkat Internet of Things (IoT) menggunakan antar muka jaringan Wi-Fi, pada penelitian ini perangkat mikrokontroller yang digunakan yaitu ESP32. Platform yang digunakan yaitu ThingsBoard yang bersifat open-source. Platfrom ThingsBoard ini memungkinkan untuk mengunggah dan mendistribusikan pembaruan Over The Air (OTA) ke perangkat Internet of Things (IoT). Administrator pada Thingsboard dapat mengunggah firmware atau paket perangkat lunak ke repositori Over The Air (OTA), lalu menetapkannya ke Profil Perangkat atau Perangkat Internet of Things (IoT) . ThingsBoard akan memberi tahu perangkat tentang pembaharuan yang tersedia dan menyediakan API khusus protokol untuk mengunduh firmware. Platform ThingsBoard ini akan melacak status pembaruan dan menyimpan riwayat pembaruan. Proses pembaruan ini dapat dipantau menggunakan dashboard. Platform ThingsBoard ini bisa digunakan secara gratis maupun berbayar tergantung kebutuhan dari proyek Internet of Things(IoT). Bukan hanya itu saja platform ThingsBoard ini dilengkapi sistem keamanan berbasis token akses, MQTT basic credentials, dan Otentikasi berbasis sertifikat X.509.

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Internet of Things Digital Forensic Investigation Using Open Source Gears

SoutheastCon 2018 ◽

10.1109/secon.2018.8479042 ◽

2018 ◽

Cited By ~ 1

Author(s):

Md Baitul Al-Sadi ◽

Lei Chen ◽

Rami J. Haddad

Keyword(s):

Internet Of Things ◽

Open Source ◽

Forensic Investigation ◽

Digital Forensic

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OpenIoT: Open Source Internet-of-Things in the Cloud

Interoperability and Open-Source Solutions for the Internet of Things - Lecture Notes in Computer Science ◽

10.1007/978-3-319-16546-2_3 ◽

2015 ◽

pp. 13-25 ◽

Cited By ~ 111

Author(s):

John Soldatos ◽

Nikos Kefalakis ◽

Manfred Hauswirth ◽

Martin Serrano ◽

Jean-Paul Calbimonte ◽

...

Keyword(s):

Internet Of Things ◽

Open Source

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Smart Door / COVID-19 Face Mask Detection

International Journal of Innovative Technology and Exploring Engineering - Special Issue ◽

10.35940/ijitee.i9369.0710921 ◽

2021 ◽

Vol 10 (9) ◽

pp. 87-92

Author(s):

Pavan Narayana A ◽

◽

Janardhan Guptha S ◽

Deepak S ◽

Pujith Sai P ◽

...

Keyword(s):

Internet Of Things ◽

Open Source ◽

Face Mask ◽

Young Lady ◽

Grayscale Image ◽

Human Face ◽

Happy Life ◽

Public Areas ◽

The Face ◽

Human Faces

January 27 2020, a day that will be remembered by the Indian people for a few decades, where a deadly virus peeped into a life of a young lady and till now it has been so threatening as it took up the life of 3.26 lakh people just in India. With the start of the virus government has made mandatory to wear masks when we go out in to crowded or public areas such as markets, malls, private gatherings and etc. So, it will be difficult for a person in the entrance to check whether everyone one are entering with a mask, in this paper we have designed a smart door face mask detection to check whether who are wearing or not wearing mask. By using different technologies such as Open CV, MTCNN, CNN, IFTTT, ThingSpeak we have designed this face mask detection. We use python to program the code. MTCNN using Viola- Jones algorithm detects the human faces present in the screen The Viola-Jones algorithm first detects the face on the grayscale image and then finds the location on the colored image. In this algorithm MTCNN first detects the face in grayscale image locates it and then finds this location on colored image. CNN for detecting masks in the human face is constructed using sample datasets and MobileNetV2 which acts as an object detector in our case the object is mask. ThingSpeak is an open-source Internet of things application used to display the information we get form the smart door. This deployed application can also detect when people are moving. So, with this face mask detection, as a part to stop the spread of the virus, we ensure that with this smart door we can prevent the virus from spreading and can regain our happy life.

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