Open Source Hardware Startups and Their Communities

2016 ◽  
pp. 129-145 ◽  
Author(s):  
Robin P. G. Tech ◽  
Jan-Peter Ferdinand ◽  
Martina Dopfer
Keyword(s):  
Open Source ◽  
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

scholarly journals Shock tube data processing tools using open source hardware and software platforms

2020 ◽  
Author(s):  
K. Thirumalesh ◽  
Salgeri Puttaswamy Raju ◽  
Hiriyur Mallaiah Somashekarappa ◽  
Kumaraswamy Swaroop
Keyword(s):  
Data Processing ◽  
Shock Tube ◽  
Open Source ◽  
Software Platforms ◽  
Open Source Hardware

scholarly journals Monitoring System for Tracking a PV Generator in an Experimental Smart Microgrid: An Open-Source Solution

2021 ◽  
Vol 13 (15) ◽  
pp. 8182
Author(s):  
José María Portalo ◽  
Isaías González ◽  
Antonio José Calderón
Keyword(s):  
Open Source ◽  
Monitoring System ◽  
Smart Grids ◽  
Raspberry Pi ◽  
Operator Interface ◽  
Open Source Hardware ◽  
Real Time Information ◽  
And Storage ◽  
Time Information ◽  
Pv Generator

Smart grids and smart microgrids (SMGs) require proper monitoring for their operation. To this end, measuring, data acquisition, and storage, as well as remote online visualization of real-time information, must be performed using suitable equipment. An experimental SMG is being deployed that combines photovoltaics and the energy carrier hydrogen through the interconnection of photovoltaic panels, electrolyser, fuel cell, and load around a voltage bus powered by a lithium battery. This paper presents a monitoring system based on open-source hardware and software for tracking the temperature of the photovoltaic generator in such an SMG. In fact, the increases in temperature in PV modules lead to a decrease in their efficiency, so this parameter needs to be measured in order to monitor and evaluate the operation. Specifically, the developed monitoring system consists of a network of digital temperature sensors connected to an Arduino microcontroller, which feeds the acquired data to a Raspberry Pi microcomputer. The latter is accessed by a cloud-enabled user/operator interface implemented in Grafana. The monitoring system is expounded and experimental results are reported to validate the proposal.

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

The power of open-source hardware in crisis

2021 ◽  
Vol 28 (2) ◽  
pp. 51-55
Author(s):  
Alex Long
Keyword(s):  
Supply Chains ◽  
Open Source ◽  
The Future ◽  
Open Source Hardware

Could open-source solutions provide a crucial layer of defense for the future of pandemic-ready and disaster-resilient supply chains?

Open-source hardware designs for MRI of mice, rats, and marmosets: Integrated animal holders and radiofrequency coils

2019 ◽  
Vol 312 ◽  
pp. 65-72 ◽  
Author(s):  
Kyle M. Gilbert ◽  
David J. Schaeffer ◽  
Joseph S. Gati ◽  
L. Martyn Klassen ◽  
Stefan Everling ◽  
...  
Keyword(s):  
Open Source ◽  
Radiofrequency Coils ◽  
Open Source Hardware ◽  
Hardware Designs

Social platform innovation of open source hardware in South Korea

2016 ◽  
Vol 33 (1) ◽  
pp. 217-226 ◽  
Author(s):  
Taeyang Kim ◽  
Dong-Hee Shin
Keyword(s):  
South Korea ◽  
Open Source ◽  
Open Source Hardware
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