A mobile sensor package for real-time greenhouse monitoring using open-source hardware

2019 ◽  
Author(s):  
Lars Larson ◽  
Elad Levintal ◽  
Jose Manuel Lopez Alcala ◽  
Dr. Lloyd Nackley ◽  
Dr. John Selker ◽  
...  
Keyword(s):  
Open Source ◽  
Real Time ◽  
Mobile Sensor ◽  
Sensor Package ◽  
Open Source Hardware

scholarly journals Open-Source Hardware Platforms for Smart Converters with Cloud Connectivity

Electronics ◽  
2019 ◽  
Vol 8 (3) ◽  
pp. 367 ◽  
Author(s):  
Massimo Merenda ◽  
Demetrio Iero ◽  
Giovanni Pangallo ◽  
Paolo Falduto ◽  
Giovanna Adinolfi ◽  
...  
Keyword(s):  
Open Source ◽  
Real Time ◽  
Renewable Energies ◽  
Operating Conditions ◽  
Maximum Power ◽  
System Level ◽  
Impedance Match ◽  
Solar Module ◽  
Open Source Hardware ◽  
Photovoltaic Generators

This paper presents the design and hardware implementation of open-source hardware dedicated to smart converter systems development. Smart converters are simple or interleaved converters. They are equipped with controllers that are able to online impedance match for the maximum power transfer. These conversion systems are particularly feasible for photovoltaic and all renewable energies systems working in continuous changing operating conditions. Smart converters represent promising solutions in recent energetic scenarios, in fact their application is deepening and widening. In this context, the availability of a hardware platform could represent a useful tool. The platform was conceived and released as an open hardware instrument for academy and industry to benefit from the improvements brought by the researchers’ community. The usage of a novel, open-source platform would allow many developers to design smart converters, focusing on algorithms instead of electronics, which could result in a better overall development ecosystem and rapid growth in the number of smart converter applications. The platform itself is proposed as a benchmark in the development and testing of different maximum power point tracking algorithms. The designed system is capable of accurate code implementations, allowing the testing of different current and voltage-controlled algorithms for different renewable energies systems. The circuit features a bi-directional radio frequency communication channel that enables real-time reading of measurements and parameters, and remote modification of both algorithm types and settings. The proposed system was developed and successfully tested in laboratory with a solar module simulator and with real photovoltaic generators. Experimental results indicate state-of-art performances as a converter, while enhanced smart features pave the way to system-level management, real-time diagnostics, and on-the-flight parameters change. Furthermore, the deployment feasibility allows different combinations and arrangements of several energy sources, converters (both single and multi-converters), and modulation strategies. To our knowledge, this project remains the only open-source hardware smart converter platform used for educational, research, and industrial purposes so far.

scholarly journals Real-time object control system using open source platform

2020 ◽  
Vol 20 (1) ◽  
pp. 313
Author(s):  
Chang-Gyu Cgseong ◽  
Jung-Yee Kim ◽  
Doo-Jin Park
Keyword(s):  
Internet Of Things ◽  
Open Source ◽  
Real Time ◽  
Low Cost ◽  
The Internet ◽  
Object Control ◽  
Fast Development ◽  
Internet Application ◽  
Open Source Hardware ◽  
The Internet Of Things

<p>Recently, the Internet of things(IoT) has received great attention, and the demand for IOT applications in various fields is increasing. But drawbacks of IoT, such as having to use dedicated equipment and having to pay for a flat fee monthly, do not satisfy the consumers’ demands. These shortcomings of IoT is causing the appearance of users who try to design the environment of IoT that responds their demands and naturally, attempts to have monitoring system through open-source hardware like Arduino. Open source hardware has attracted a great deal of attention for the diffusion of the Internet of things as a key element of the Internet construction. The emergence of open source hardware, which has the advantage of low cost and easy and fast development, has made it possible to embody the idea of object Internet application services. In this paper, we design and implement a system that controls the objects in real time using open source hardware and MQTT protocol.</p>

scholarly journals Architecture based in open source hardware and software for designing a real time vehicle tracking device

2018 ◽  
Vol 16 (44) ◽  
pp. 49-61 ◽  
Author(s):  
Diony Roely Castillo Rodríguez ◽  
Alain Sebastián Martínez Laguardia ◽  
Alberto Gómez Abreu
Keyword(s):  
Open Source ◽  
Real Time ◽  
Vehicle Tracking ◽  
Security Requirements ◽  
Real Time Tracking ◽  
Controller Board ◽  
Almost All ◽  
Tracking Device ◽  
Control And Management ◽  
Open Source Hardware

The usage of real-time tracking systems for vehicles has demonstrated to be a viable and economical option, entailing in more control and management of the fleet, plus the reduction of the logistics costs of companies using them. Since 2006 in Cuba, there is a fleet control and management system employed by almost all the companies, which hire a variant of the service in a differed manner; i.e., the data are not processed in real-time. In this research paper, we propose the design of a device based only on open source hardware/software components allowing the real-time vehicle tracking. Our proposal is suitable for the conditions of the country where it was developed (Cuba), presenting high functionality than other proposals. For the design, we employed an Arduino UNO controller board, an Adafruit FONA808 GPS/GSM module, and other accessories. As per the performed experiments, the proposed hardware/software architecture complies with the operation, configuration, and security requirements to achieve a viable product from the economical and environmental approaches.  

scholarly journals Real-Time Processing Library for Open-Source Hardware Biomedical Sensors

Sensors ◽  
2018 ◽  
Vol 18 (4) ◽  
pp. 1033 ◽  
Author(s):  
Alberto Molina-Cantero ◽  
Juan Castro-García ◽  
Clara Lebrato-Vázquez ◽  
Isabel Gómez-González ◽  
Manuel Merino-Monge
Keyword(s):  
Open Source ◽  
Real Time ◽  
Real Time Processing ◽  
Time Processing ◽  
Biomedical Sensors ◽  
Open Source Hardware

ON METHODS OF OBJECT DETECTION IN VIDEO STREAMS

2017 ◽  
Vol 2 (1) ◽  
pp. 80-87
Author(s):  
Puyda V. ◽  
◽  
Stoian. A.
Keyword(s):  
Computer Vision ◽  
Object Detection ◽  
Open Source ◽  
Feature Detection ◽  
Video Stream ◽  
Object Identification ◽  
Vision Systems ◽  
Modern Computer ◽  
Computer Vision Systems ◽  
Open Source Hardware

Detecting objects in a video stream is a typical problem in modern computer vision systems that are used in multiple areas. Object detection can be done on both static images and on frames of a video stream. Essentially, object detection means finding color and intensity non-uniformities which can be treated as physical objects. Beside that, the operations of finding coordinates, size and other characteristics of these non-uniformities that can be used to solve other computer vision related problems like object identification can be executed. In this paper, we study three algorithms which can be used to detect objects of different nature and are based on different approaches: detection of color non-uniformities, frame difference and feature detection. As the input data, we use a video stream which is obtained from a video camera or from an mp4 video file. Simulations and testing of the algoritms were done on a universal computer based on an open-source hardware, built on the Broadcom BCM2711, quad-core Cortex-A72 (ARM v8) 64-bit SoC processor with frequency 1,5GHz. The software was created in Visual Studio 2019 using OpenCV 4 on Windows 10 and on a universal computer operated under Linux (Raspbian Buster OS) for an open-source hardware. In the paper, the methods under consideration are compared. The results of the paper can be used in research and development of modern computer vision systems used for different purposes. Keywords: object detection, feature points, keypoints, ORB detector, computer vision, motion detection, HSV model color

Sign in / Sign up

Export Citation Format

Share Document