Robot Pemadam Kebakaran Berbasis Wemos

Yulianto Wisnuputra; Eko Ihsanto; Muhammad Hafizd Ibnu Hajar

doi:10.22441/jte.v10i2.007

Robot Pemadam Kebakaran Berbasis Wemos

Jurnal Teknologi Elektro ◽

10.22441/jte.v10i2.007 ◽

2019 ◽

Vol 10 (2) ◽

pp. 129

Author(s):

Yulianto Wisnuputra ◽

Eko Ihsanto ◽

Muhammad Hafizd Ibnu Hajar

Keyword(s):

Internet Of Things ◽

Open Source ◽

Mini Pump

IOT adalah sebuah paradigma baru yang bertujuan menjembatani kesenjangan antara dunia fisik dan perwakilannya dalam dunia digital. Terbatasnya tata ruang mengharuskan untuk memunculkan alat yang bisa menjangkau sudut-sudut ruangan yang tidak dapat dijangkau oleh manusia. Dari kebutuhan tersebut, maka dibuatlah robot pemadam kebakaran berbasis internet of things. Dengan penggunaan module microcontroller wemos, diharapkan dapat menggantikan sistem kabel LAN sebagai sarana untuk berkomunikasi data dari robot dengan aplikasi Blynk sehingga robot ini dapat menjangkau sudut-sudut ruangan dimana apabila menggunakan kabel sangat sulit untuk dijangkau. Robot pemadam kebakaran ini dirancang menggunakan microcontroller wemos. Microcontroller tersebut akan menjadi penghubung antara smartphone dengan rangkaian robot. Sistem penggerak robot menggunakan 2unit motor DC dengan transistor sebagai motor driver. Penyemprotan air menggunakan 1unit mini pump motor DC. Pengukuran suhu dan kelembapan dideteksi oleh sensor DHT11. Daya untuk menggerakan robot ini menggunakan 2 unit baterai 4.2 volt. Aplikasi yang digunakan adalah Blynk yang merupakan open source IoT server. Durasi pembacaan suhu dan kelembapan dilakukan selama 20 detik, dimana suhu dalam ruang adalah 29oC dengan kelembapan 70%.

Download Full-text

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

Download Full-text

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

Download Full-text

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.

Download Full-text