Development of hardware and software system for access control and management

Ergodesign ◽  
2020 ◽  
Vol 2020 (1) ◽  
pp. 19-24
Author(s):  
Igor Pestov ◽  
Polina Shinkareva ◽  
Sofia Kosheleva ◽  
Maxim Burmistrov
Keyword(s):  
Access Control ◽  
High Mobility ◽  
Raspberry Pi ◽  
Software System ◽  
Hardware System ◽  
Software And Hardware ◽  
Arduino Uno ◽  
Control And Management ◽  
Hardware Platforms ◽  
Hardware And Software System

This article aims to develop a hardware-software system for access control and management based on the hardware platforms Arduino Uno and Raspberry Pi. The developed software and hardware system is designed to collect data and store them in the database. The presented complex can be carried and used anywhere, which explains its high mobility.

Development of hardware and software system for access control and management

Ergodesign ◽  
2020 ◽  
Vol 2020 (1) ◽  
pp. 19-24
Author(s):  
Igor Pestov ◽  
Polina Shinkareva ◽  
Sofia Kosheleva ◽  
Maxim Burmistrov
Keyword(s):  
Access Control ◽  
High Mobility ◽  
Raspberry Pi ◽  
Software System ◽  
Hardware System ◽  
Software And Hardware ◽  
Arduino Uno ◽  
Control And Management ◽  
Hardware Platforms ◽  
Hardware And Software System

This article aims to develop a hardware-software system for access control and management based on the hardware platforms Arduino Uno and Raspberry Pi. The developed software and hardware system is designed to collect data and store them in the database. The presented complex can be carried and used anywhere, which explains its high mobility.

scholarly journals Development of a Hardware and Software System for Meteorological Observations

2018 ◽  
Vol 155 ◽  
pp. 01045
Author(s):  
Mikhail Shcherbakov ◽  
Alexey Borisov
Keyword(s):  
Radio Channel ◽  
Ultra Violet ◽  
Weather Conditions ◽  
Raspberry Pi ◽  
Software System ◽  
Time Data ◽  
Ultra Violet Radiation ◽  
Meteorological Observations ◽  
Environment Parameters ◽  
Hardware And Software System

Article is devoted to development of a hardware and software system for monitoring of weather conditions. The hardware of this complex is the Arduino platform, which are connected sensors of temperature, humidity, atmospheric pressure, speed and direction of wind, level of ultra-violet radiation, which allow to watch environment parameters. Data are transferred to the remote server which is constructed on the basis of the single board computer Raspberry Pi, by means of a radio channel. For ensuring functioning of a complex, the software was written and it consisting of three programs. The first program was written to on Si similar language for operation of the Arduino controller. The second from programs was written for functioning of the server, it consists of MySQL DBMS, a script for data record in a basis and the PhpMyAdmin servers for administration of a DB. The third was written in the C# programming language and represents the application Windows forms. The made experiment showed that the complex allows to carry continuously meteorological observations, at the same time data remain in the database and the consumer software allows to carry their processing.

RASPBERRY PI 3 BASE SOFTWARE AND HARDWARE SYSTEM FOR RADIATION HARDENING TESTING OF ELECTRONIC COMPONENTS

2019 ◽  
pp. 27-31
Author(s):  
A.O. Golunov ◽  
N.V. Gorbunov
Keyword(s):  
Radiation Resistance ◽  
Prolonged Exposure ◽  
High Energy ◽  
Radiation Hardening ◽  
Design Stage ◽  
Raspberry Pi ◽  
Electronic Components ◽  
Hardware System ◽  
Software And Hardware ◽  
High Energy Particles

To study the radiation resistance of a electronic components, various sources of ionizing radiation are used, with the use of which the components of the systems under study are subjected to prolonged exposure to fluxes of high-energy particles. The study of radiation resistance requires the creation of specialized research complexes. Such systems are designed to select elements that do not meet the radiation resistance criteria for specific tasks at the design stage of the equipment.A system for testing radiation hardening of electronic components based on the raspberry Pi 3 microcomputer has been developed.

scholarly journals A System for Controlling and Monitoring IoT Applications

2018 ◽  
Vol 1 (3) ◽  
pp. 26 ◽  
Author(s):  
Zebenzui Lima ◽  
Hugo García-Vázquez ◽  
Raúl Rodríguez ◽  
Sunil Khemchandani ◽  
Fortunato Dualibe ◽  
...  
Keyword(s):  
Relative Humidity ◽  
Internet Of Things ◽  
Open Source Software ◽  
Remote Monitoring ◽  
Low Cost ◽  
Raspberry Pi ◽  
Design And Implementation ◽  
Iot Applications ◽  
Hardware System ◽  
Software And Hardware

In this work, the design and implementation of an open source software and hardware system for Internet of Things (IoT) applications is presented. This system permits the remote monitoring of supplied data from sensors and webcams and the control of different devices such as actuators, servomotors and LEDs. The parameters which have been monitored are brightness, temperature and relative humidity all of which constitute possible environmental factors. The control and monitoring of the installation is realised through a server which is managed by an administrator. The device which rules the installation is a Raspberry Pi, a small and powerful micro-computer in a single board with low consumption, low cost and reconfigurability.

Medidor Inteligente de Energía Eléctrica utilizando la Tarjeta Electrónica Raspberry Pi

2018 ◽  
Vol 14 (1) ◽  
Author(s):  
L.F. Tipán ◽  
J.A. Rumipamba
Keyword(s):  
Raspberry Pi ◽  
El Sistema ◽  
Arduino Uno

El objeto de este documento es presentar un medidor de energia electrica inteligente con raspberry Pi y Arduino UNO, para visualizar el consumo electrico aproximado de un hogar tipo en tiempo real, mediante una aplicación Android y servidor web en la raspberry utilizando hojas de calculo en linea de google, porque aproximado debido a que no se hace un muestreo de voltaje sino que en base a parametros definidos se emplean valores establecidos. En la presente investigacion se muestra la arquitectura base y la metodologia empleada demostrando que los datos obtenidos con este sistema propuesto es muy parecido en comparacion con un sistema que se encuentra disponible en el mercado, especialmente europeo y norteamericano como lo es el sistema AEOTEC que utiliza protocolos z wave.

scholarly journals Virtualizing AI at the Distributed Edge Towards Intelligent IoT Applications

2021 ◽  
Vol 10 (1) ◽  
pp. 13
Author(s):  
Claudia Campolo ◽  
Giacomo Genovese ◽  
Antonio Iera ◽  
Antonella Molinaro
Keyword(s):  
Resource Constraints ◽  
Smart Cities ◽  
Traditional Approach ◽  
Low Cost ◽  
Iot Applications ◽  
Software And Hardware ◽  
Iot Devices ◽  
Consumer Devices ◽  
Hardware Platforms ◽  
Smart Factories

Several Internet of Things (IoT) applications are booming which rely on advanced artificial intelligence (AI) and, in particular, machine learning (ML) algorithms to assist the users and make decisions on their behalf in a large variety of contexts, such as smart homes, smart cities, smart factories. Although the traditional approach is to deploy such compute-intensive algorithms into the centralized cloud, the recent proliferation of low-cost, AI-powered microcontrollers and consumer devices paves the way for having the intelligence pervasively spread along the cloud-to-things continuum. The take off of such a promising vision may be hurdled by the resource constraints of IoT devices and by the heterogeneity of (mostly proprietary) AI-embedded software and hardware platforms. In this paper, we propose a solution for the AI distributed deployment at the deep edge, which lays its foundation in the IoT virtualization concept. We design a virtualization layer hosted at the network edge that is in charge of the semantic description of AI-embedded IoT devices, and, hence, it can expose as well as augment their cognitive capabilities in order to feed intelligent IoT applications. The proposal has been mainly devised with the twofold aim of (i) relieving the pressure on constrained devices that are solicited by multiple parties interested in accessing their generated data and inference, and (ii) and targeting interoperability among AI-powered platforms. A Proof-of-Concept (PoC) is provided to showcase the viability and advantages of the proposed solution.

scholarly journals Integration of opencv raspberry pi 3b+ and camera sensor in access control of vehicle ignition key system

2020 ◽  
Vol 909 ◽  
pp. 012002
Author(s):  
Lukman Medriavin Silalahi ◽  
Imelda Uli Vistalina Simanjuntak ◽  
Freddy Artadima Silaban ◽  
Setiyo Budiyanto ◽  
Heryanto ◽  
...  
Keyword(s):  
Access Control ◽  
Raspberry Pi ◽  
Camera Sensor

scholarly journals An Automatic Aggregator of Power Flexibility in Smart Buildings Using Software Based Orchestration

Sensors ◽  
2021 ◽  
Vol 21 (3) ◽  
pp. 867
Author(s):  
Dharmendra Sharma ◽  
Jari Rehu ◽  
Klaus Känsälä ◽  
Heikki Ailisto
Keyword(s):  
Control Signal ◽  
External Control ◽  
Data Logging ◽  
Building Energy Management ◽  
Hardware System ◽  
Temperature Thresholds ◽  
Grid Environments ◽  
End Use ◽  
Maintenance Requirements ◽  
Control And Management

This paper presents a software-based modular and hierarchical building energy management system (BEMS) to control the power consumption in sensor-equipped buildings. In addition, the need of this type of solution is also highlighted by presenting the worldwide trends of thermal energy end use in buildings and peak power problems. Buildings are critical component of smart grid environments and bottom-up BEMS solutions are need of the hour to optimize the consumption and to provide consumption side flexibility. This system is able to aggregate the controls of the all-controllable resources in building to realize its flexible power capacity. This system provides a solution for consumer to aggregate the controls of ‘behind-the-meter’ small loads in short response and provide ‘deep’ demand-side flexibility. This system is capable of discovery, status check, control and management of networked loads. The main novelty of this solution is that it can handle the heterogeneity of the installed hardware system along with time bound changes in the load device network and its scalability; resulting in low maintenance requirements after deployment. The control execution latency (including data logging) of this BEMS system for an external control signal is less than one second per connected load. In addition, the system is capable of overriding the external control signal in order to maintain consumer coziness within the comfort temperature thresholds. This system provides a way forward in future for the estimation of the energy stored in the buildings in the form of heat/temperature and use buildings as temporary batteries when electricity supply is constrained or abundant.

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