IoT Based Greenhouse Monitoring System Using Raspberry Pi

Whilst computerized greenhouse systems are common in commercial crop production, there are few equivalent, but less expensive, systems available for home greenhouses. As a result, the scope of this study is to build and make a smart greenhouse system that monitors and regulate domestic greenhouses both locally and remotely. This thesis concentrated on the design and implementation of a smart greenhouse system's user interface and networking paradigm. This concept presents a conceptual framework for transforming a traditional greenhouse into a smart greenhouse. The goal is for customers to be able to control and manage critical crop aspects depending on their own needs. A user-friendly Thingspeak service where real data is synced from the greenhouse to the cloud and a responsive greenhouse system are the end results.

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Direction and Speed Control of DC Motor Using Raspberry PI and Python-Based GUI

International Journal of Hyperconnectivity and the Internet of Things ◽

10.4018/ijhiot.2021070105 ◽

2021 ◽

Vol 5 (2) ◽

pp. 74-87

Author(s):

Anup Kumar Kolya ◽

Debasish Mondal ◽

Alokesh Ghosh ◽

Subhashree Basu

Keyword(s):

Smart Phone ◽

Dc Motor ◽

Raspberry Pi ◽

Android Application ◽

Android Apps ◽

Design And Implementation ◽

Java Platform ◽

Developer Tools ◽

User Friendly ◽

And Control

This paper presents the design and implementation of control strategy for both the speed and direction of a direct current (DC) motor using Android-based application in smart phone. The Raspberry Pi 3 with a motor driver controller has been used to implement the control action via Python-based user-defined programming. The Android application has been developed using Android Developer Tools (ADT) in Java platform. The Android apps work like a client and communicates with Raspberry Pi through wi-fi connectivity. Finally, a small graphical user interface (GUI) has been created in Python in order to interface and control the motor with buttons in GUI. The advantages of GUI are that it is attractive, user friendly, and even a layman can work with the application developed in GUI.

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Remote Monitoring System of Robotic Car Based on Internet of Things Using Raspberry Pi

Journal of Computational and Theoretical Nanoscience ◽

10.1166/jctn.2020.8886 ◽

2020 ◽

Vol 17 (5) ◽

pp. 2288-2295

Author(s):

K. V. Sowmya ◽

Harshavardhan Jamedar ◽

Pradeep Godavarthi

Keyword(s):

User Interface ◽

Monitoring System ◽

Remote Monitoring ◽

Fire Risk ◽

Third Party ◽

Raspberry Pi ◽

Surveillance Systems ◽

Dynamic Features ◽

Remote Monitoring System ◽

Security Officers

Development of surveillance and monitoring systems are quite difficult and challenging task at times. The design of a system depends on the environment to be monitored. Such surveillance systems need to have dynamic features, for e.g., cameras used for monitoring may be mobiles, web cams etc. installed to the system. Such systems are used in various large buildings like shopping malls where it could incur high cost for installing cameras in each level of buildings. Even for people like security officers it could be huge task to cover an entire building. Other examples for dynamic surveillance system could be detecting poisonous gases in an area, explosives and any fire risk elements. Another case is that it can reach where the area is not accessed by humans. In view of these challenges we propose a Remote monitoring system where a Robotic Car is installed with camera, Ultrasonic sensor, DHT11, PIR sensors according to the environment involved. The instructions are given to the robotic car using a third party app called Blynk as user interface. Here the raspberry pi is used as a microcontroller which is connected to WIFI acts as the communication medium to connect the server provided by Blynk. The Blynk app which acts as a user interface is interacted with the car using Wi-Fi and its server.

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Graphical User Interface for the Control of a Biped Robot

Advances in Computational Intelligence and Robotics - Androids, Cyborgs, and Robots in Contemporary Culture and Society ◽

10.4018/978-1-5225-2973-6.ch008 ◽

2018 ◽

pp. 176-189

Author(s):

Claudio Urrea ◽

Carlos Cortés Mac-Evoy

Keyword(s):

User Interface ◽

Graphical User Interface ◽

Biped Robot ◽

Bipedal Walking ◽

Matlab Simulink ◽

Manual Operation ◽

Graphic Interface ◽

Design And Implementation ◽

User Friendly

The design and implementation of a graphical user interface (GUI) for the control and operation of a biped robot is presented. This GUI allows establishing communication between the user, the robot and a computer (controller) so that the robot can perform bipedal walking without the need to introduce commands that are not user-friendly. The developed graphic interface permits the user to carry out tasks operating on the robot without having to resort to commands that are not easy to use. This interface was created using the MATLAB-Simulink software and it presents important advantages compared to the manual operation of a robot.

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Graphical User Interface for the Control of a Biped Robot

Rapid Automation ◽

10.4018/978-1-5225-8060-7.ch031 ◽

2019 ◽

pp. 680-692

Author(s):

Claudio Urrea ◽

Carlos Cortés Mac-Evoy

Keyword(s):

User Interface ◽

Graphical User Interface ◽

Biped Robot ◽

Bipedal Walking ◽

Matlab Simulink ◽

Manual Operation ◽

Graphic Interface ◽

Design And Implementation ◽

User Friendly

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Design and implementation of low cost web based human health monitoring system using Raspberry Pi 2

2017 IEEE International Conference on Electrical, Instrumentation and Communication Engineering (ICEICE) ◽

10.1109/iceice.2017.8191881 ◽

2017 ◽

Cited By ~ 1

Author(s):

C K R Kirankumar ◽

M. Prabhakaran

Keyword(s):

Human Health ◽

Monitoring System ◽

Health Monitoring ◽

Low Cost ◽

Raspberry Pi ◽

Web Based ◽

Health Monitoring System ◽

Design And Implementation

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

Journal CERITA ◽

10.33050/cerita.v1i1.192 ◽

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.

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Justifying the data analytical choice in single case research in relation to the expected data pattern

10.31234/osf.io/2b9mu ◽

2019 ◽

Author(s):

Rumen Manolov

Keyword(s):

Data Analysis ◽

Visual Analysis ◽

Multilevel Models ◽

Single Case ◽

Analytical Techniques ◽

Real Data ◽

Small Scale ◽

Data User ◽

Single Case Research ◽

User Friendly

The lack of consensus regarding the most appropriate analytical techniques for single-case experimental designs data requires justifying the choice of any specific analytical option. The current text mentions some of the arguments, provided by methodologists and statisticians, in favor of several analytical techniques. Additionally, a small-scale literature review is performed in order to explore if and how applied researchers justify the analytical choices that they make. The review suggests that certain practices are not sufficiently explained. In order to improve the reporting regarding the data analytical decisions, it is proposed to choose and justify the data analytical approach prior to gathering the data. As a possible justification for data analysis plan, we propose using as a basis the expected the data pattern (specifically, the expectation about an improving baseline trend and about the immediate or progressive nature of the intervention effect). Although there are multiple alternatives for single-case data analysis, the current text focuses on visual analysis and multilevel models and illustrates an application of these analytical options with real data. User-friendly software is also developed.

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