One approach to weather station design based on Raspberry Pi platform

2015 ◽  
Author(s):  
Trifun Savic ◽  
Milutin Radonjic
Keyword(s):  
Raspberry Pi ◽  
Weather Station

scholarly journals Raspberry Pi Based Weather Station

2018 ◽  
Vol 18 (2) ◽  
pp. 63-66
Author(s):  
A.C. Gheorghe ◽  
M.S. Chiran
Keyword(s):  
Scientific Community ◽  
Raspberry Pi ◽  
The Internet ◽  
Weather Station ◽  
Twisted Pair ◽  
Sole Purpose ◽  
Program Language ◽  
The World ◽  
Made In

AbstractThe paper proposes the development of a weather station made up from a Raspberry Pi 3 and the Sense Hat shield. The shield used in this application has sensors for temperature, humidity and pressure. The weather station can connect to the internet wirelessly or with a standard UTP (Unshielded twisted pair) connection, this connection gives us the ability to take part in a scientific community for the sole purpose to monitor the weather all around the world. The program for the weather station is made in Python, the program language is easy to used and very versatile.

scholarly journals Rancang Bangun Prototipe Sistem Monitoring Mini Stasiun Cuaca pada BMKG Provinsi Lampung

2021 ◽  
Vol 9 (1) ◽  
Author(s):  
Bambang Prayogo ◽  
Gigih Forda Nama ◽  
Meizano Ardhi Muhammad
Keyword(s):  
Raspberry Pi ◽  
Weather Station ◽  
Automatic Weather Station

Salah satu tugas Badan Meteorologi, Klimatologi, dan Geofisika (BMKG) adalah menyampaikan data serta informasi cuaca untuk monitoring dan memprediksi perubahan iklim yang terjadi. Proses pengamatan cuaca oleh petugas BMKG Provinsi Lampung saat ini sebagian besar masih menggunakan alat ukur konvensional. Pengukuran dilakukan satu persatu untuk setiap unsur cuaca. Hanya beberapa titik pengamatan yang sudah menggunakan Automatic Weather Station (AWS). Lokasi penempatan setiap stasiun cuaca pun berjauhan. Agar mempermudah kerja petugas pengukuran, perlu adanya sebuah rancang bangun sistem monitoring untuk mengukur beberapa unsur cuaca secara bersamaan seperti curah hujan, suhu udara, kelembapan udara, serta intensitas cahaya menggunakan Raspberry Pi. Data curah hujan, suhu udara, kelembapan udara, serta intensitas cahaya akan ditampilkan berupa grafik berbasis web. Pengambilan data dilakukan sebanyak 5 kali yaitu 6-7 November 2019, 17-18 November 2019, 17-18 Desember 2019, 18-19 Desember 2019, dan 19-20 Desember 2019. Dari 5 kali pengambilan data, diperoleh suhu udara rata-rata 28.15 derajat Celsius, kelembapan rata-rata 84,98 %, intensitas cahaya rata-rata 14196,97 lux, dan jumlah curah hujan 23,749 mm.Kata kunci: BMKG, informasi cuaca, sistem monitoring, Raspberry Pi

scholarly journals Iot Based Weather Station Using Raspberry Pi 3

2018 ◽  
Vol 7 (4.30) ◽  
pp. 145 ◽  
Author(s):  
P Y Muck ◽  
M J Homam
Keyword(s):  
Real Time ◽  
Mobile Application ◽  
Weather Prediction ◽  
Weather Conditions ◽  
Weather Data ◽  
Raspberry Pi ◽  
Weather Station ◽  
Media Platform ◽  
Weather Parameters ◽  
Graphical Presentation

Weather is the day-to-day state of atmosphere that is hard to predict which affects the activities of mankind and has great significance in many different domains. However, the current weather station in the market is expensive and bulky which cause inconvenience. The aim of this project is to design a weather station with real time notifications for climatology monitoring, interface it to a cloud platform and analyse weather parameters. In this project, a weather station is assembled using SparkFun Weather Shield and Weather Meter and Arduino Uno R3 to collect weather parameters. Data collected from the sensors are then stored into Google Cloud SQL using Raspberry Pi 3 Model B which acts as a gateway between them and analysis of weather data are done. A website and mobile application are developed using Google Data Studio and Android Studio respectively to display the real-time weather conditions in graphical presentation which are accessible by administrator and users. Users will receive notification regarding the weather conditions at that particular place on social media platform regularly and irregularly. Weather prediction is done in short term which allows users to get themselves prepared for their future plan in the next thirty minutes.

PROTOTYPE ALAT PEMANTAU SALURAN AIR BAWAH TANAH DENGAN MENGGUNAKAN WEBCAM C170 BERBASIS RASPBERRY PI

2015 ◽  
Vol 1 (1) ◽  
pp. 37-45
Author(s):  
Irwansyah Irwansyah ◽  
Hendra Kusumah ◽  
Muhammad Syarif
Keyword(s):  
Real Time ◽  
Monitoring System ◽  
Public Awareness ◽  
Underground Water ◽  
Raspberry Pi ◽  
Laptop Computer ◽  
Web Browser ◽  
Disaster Monitoring ◽  
The Times ◽  
Human Desire

Along with the times, recently there have been found tool to facilitate human’s work. Electronics is one of technology to facilitate human’s work. One of human desire is being safe, so that people think to make a tool which can monitor the surrounding condition without being monitored with people’s own eyes. Public awareness of the underground water channels currently felt still very little so frequent floods. To avoid the flood disaster monitoring needs to be done to underground water channels.This tool is controlled via a web browser. for the components used in this monitoring system is the Raspberry Pi technology where the system can take pictures in real time with the help of Logitech C170 webcam camera. web browser and Raspberry Pi make everyone can control the devices around with using smartphone, laptop, computer and ipad. This research is expected to be able to help the users in knowing the blockage on water flow and monitored around in realtime.

Implementasi Voip Server Berbasis IPV6 Dengan Raspberry PI

2019 ◽  
Vol 9 (01) ◽  
pp. 47-54
Author(s):  
Rabbai San Arif ◽  
Yuli Fitrisia ◽  
Agus Urip Ari Wibowo
Keyword(s):  
Internet Protocol ◽  
Wireless Transmission ◽  
Raspberry Pi ◽  
Test Results ◽  
Average Delay ◽  
Ipv6 Network ◽  
Ip Network ◽  
Selection Of ◽  
Better Than

Voice over Internet Protocol (VoIP) is a telecommunications technology that is able to pass the communication service in Internet Protocol networks so as to allow communicating between users in an IP network. However VoIP technology still has weakness in the Quality of Service (QoS). VOPI weaknesses is affected by the selection of the physical servers used. In this research, VoIP is configured on Linux operating system with Asterisk as VoIP application server and integrated on a Raspberry Pi by using wired and wireless network as the transmission medium. Because of depletion of IPv4 capacity that can be used on the network, it needs to be applied to VoIP system using the IPv6 network protocol with supports devices. The test results by using a wired transmission medium that has obtained are the average delay is 117.851 ms, jitter is 5.796 ms, packet loss is 0.38%, throughput is 962.861 kbps, 8.33% of CPU usage and 59.33% of memory usage. The analysis shows that the wired transmission media is better than the wireless transmission media and wireless-wired.

Conception and implementation of a course for professional training and education in the field of IoT and smart home security

2020 ◽  
Vol 2020 (3) ◽  
pp. 277-1-277-8
Author(s):  
Michael Pilgermann ◽  
Thomas Bocklisch ◽  
Reiner Creutzburg
Keyword(s):  
Smart Home ◽  
Professional Training ◽  
Raspberry Pi ◽  
Science Students ◽  
Training And Education ◽  
Home Security ◽  
Master Level ◽  
University Course ◽  
Home Technology ◽  
Smart Home Technology

The aim of this paper is to describe the new concept of a Master level university course for computer science students to address the issues of IoT and Smart Home Security. This concept is well suited for professional training for interested customers and allows the creation of practical exercises. The modular structure of the course contains lectures and exercises on the following topics: 1. Introduction - IoT and Smart Home Technology and Impact 2. Homematic Technology and Smart Home Applications 3. Loxone Technology and Smart Home Applications 4. Raspberry Pi and Smart Home Applications 5. Security of IoT and Smart Home Systems and contains laboratory exercises of diverse complexities.

An Adaptive Binarization Method for Cost-efficient Document Image System in Wavelet Domain

2020 ◽  
Vol 64 (3) ◽  
pp. 30401-1-30401-14 ◽  
Author(s):  
Chih-Hsien Hsia ◽  
Ting-Yu Lin ◽  
Jen-Shiun Chiang
Keyword(s):  
Wavelet Transform ◽  
Discrete Wavelet Transform ◽  
Document Image ◽  
Background Information ◽  
Raspberry Pi ◽  
Discrete Wavelet ◽  
Image System ◽  
Low Frequencies ◽  
Cost Efficient ◽  
Binarization Method

Abstract In recent years, the preservation of handwritten historical documents and scripts archived by digitized images has been gradually emphasized. However, the selection of different thicknesses of the paper for printing or writing is likely to make the content of the back page seep into the front page. In order to solve this, a cost-efficient document image system is proposed. In this system, the authors use Adaptive Directional Lifting-Based Discrete Wavelet Transform to transform image data from spatial domain to frequency domain and perform on high and low frequencies, respectively. For low frequencies, the authors use local threshold to remove most background information. For high frequencies, they use modified Least Mean Square training algorithm to produce a unique weighted mask and perform convolution on original frequency, respectively. Afterward, Inverse Adaptive Directional Lifting-Based Discrete Wavelet Transform is performed to reconstruct the four subband images to a resulting image with original size. Finally, a global binarization method, Otsu’s method, is applied to transform a gray scale image to a binary image as the output result. The results show that the difference in operation time of this work between a personal computer (PC) and Raspberry Pi is little. Therefore, the proposed cost-efficient document image system which performed on Raspberry Pi embedded platform has the same performance and obtains the same results as those performed on a PC.

A driver drowsiness and distraction warning system based on raspberry Pi 3 Kit

2019 ◽  
Vol 70 (3) ◽  
pp. 184-192
Author(s):  
Toan Dao Thanh ◽  
Vo Thien Linh
Keyword(s):  
Processing System ◽  
Warning System ◽  
Raspberry Pi ◽  
Data Set ◽  
Lower Lip ◽  
Driver Drowsiness ◽  
Image Sensing ◽  
The Face ◽  
The Common ◽  
University Laboratory

In this article, a system to detect driver drowsiness and distraction based on image sensing technique is created. With a camera used to observe the face of driver, the image processing system embedded in the Raspberry Pi 3 Kit will generate a warning sound when the driver shows drowsiness based on the eye-closed state or a yawn. To detect the closed eye state, we use the ratio of the distance between the eyelids and the ratio of the distance between the upper lip and the lower lip when yawning. A trained data set to extract 68 facial features and “frontal face detectors” in Dlib are utilized to determine the eyes and mouth positions needed to carry out identification. Experimental data from the tests of the system on Vietnamese volunteers in our University laboratory show that the system can detect at realtime the common driver states of “Normal”, “Close eyes”, “Yawn” or “Distraction”

Smart and Interactive Home Using Raspberry Pi

2018 ◽  
Vol 6 (3) ◽  
pp. 241-245
Author(s):  
V. Mehta ◽  
◽  
B. Walia ◽  
V. Rathod ◽  
M. Kothari ◽  
...  
Keyword(s):  
Raspberry Pi
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