Raspberry Pi with a Rich User Interface

2016 ◽  
pp. 577-613
Keyword(s):  
User Interface ◽  
Raspberry Pi

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

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.

scholarly journals AMi: a GUI-based, open-source system for imaging samples in multi-well plates

2019 ◽  
Vol 75 (8) ◽  
pp. 531-536 ◽  
Author(s):  
Andrew Bohm
Keyword(s):  
User Interface ◽  
Open Source ◽  
Real Time ◽  
Graphical User Interface ◽  
Field Enhancement ◽  
Depth Of Field ◽  
Raspberry Pi ◽  
Real Time Imaging ◽  
Translation Stage ◽  
Multiple Sample

Described here are instructions for building and using an inexpensive automated microscope (AMi) that has been specifically designed for viewing and imaging the contents of multi-well plates. The X, Y, Z translation stage is controlled through dedicated software (AMiGUI) that is being made freely available. Movements are controlled by an Arduino-based board running grbl, and the graphical user interface and image acquisition are controlled via a Raspberry Pi microcomputer running Python. Images can be written to the Raspberry Pi or to a remote disk. Plates with multiple sample wells at each row/column position are supported, and a script file for automated z-stack depth-of-field enhancement is written along with the images. The graphical user interface and real-time imaging also make it easy to manually inspect and capture images of individual samples.

scholarly journals Raspberry Pi for Commercial Applications

2013 ◽  
Vol 11 (2) ◽  
pp. 2250-2255 ◽  
Author(s):  
Chaitanya Bysani ◽  
T. S. Rama Krishna Prasad ◽  
Sridhar Chundi
Keyword(s):  
User Interface ◽  
Real Time ◽  
Low Cost ◽  
Raspberry Pi ◽  
Video Playback ◽  
Automotive Safety ◽  
Internet Connectivity ◽  
Connected Network ◽  
Commercial Off The Shelf ◽  
Commercial Applications

The objective of this paper is to create a low cost commercial off the shelf data analyzer for improving automotive safety and design a user interface infotainment system by using Raspberry Pi.  In this paper we propose Raspberry pi based application that monitor the vehicle ECUs through an OBD-II(On Board Diagnostics) interface, perform Diagnostics with DTCs (Diagnostics trouble codes). Infotainment system having functions such as audio and video playback, games, internet connectivity through either USB Wi-Fi dongles or USB Modems and dashboard camera operation. Raspberry Pi will transmit the data over Wi-Fi in real-time in xml format over Wi-Fi on a DHCP connected network.

scholarly journals Cell Extractor

2020 ◽  
Vol 20 (1) ◽  
pp. 29-32
Author(s):  
A.C. Gheorghe
Keyword(s):  
User Interface ◽  
Experimental Model ◽  
Human Operator ◽  
Raspberry Pi ◽  
Cell Injection ◽  
Cell Extraction ◽  
Biomedical Equipment ◽  
Specialized Equipment ◽  
Natural Step ◽  
Further Development

AbstractThe study aims for the development of a system for cellular extraction, developed at the level of an experimental model, with the help of which the user can generate a series of sessions of cellular extraction from the cultures of specific cells. To move to the prototype level, the system that will materialize in an specialized equipment for cell extraction and inter / intra-cell injection needs a developed user interface, so that the equipment as a whole is easy to use by the human operator. The present project provides a viable technical interfacing solution for the above mentioned equipment, using the Raspberry Pi hardware resources and the Python C. software resources. Demonstrating the capability of the Raspberry Pi - Python technical tandem for the biomedical equipment to be built is the essence of this project, and the further development of a specialized user interface is a natural step.

Integrated Wireless Monitoring System Using LoRa and Node-Red for University Building

2019 ◽  
Vol 16 (8) ◽  
pp. 3384-3394
Author(s):  
Sathish Kumar Selvaperumal ◽  
Waleed Al-Gumaei ◽  
Raed Abdulla ◽  
Vinesh Thiruchelvam
Keyword(s):  
User Interface ◽  
Control Systems ◽  
Graphical User Interface ◽  
Mobile Application ◽  
Raspberry Pi ◽  
Time Data ◽  
Wireless Monitoring ◽  
Smart Campus ◽  
And Control ◽  
The Internet Of Things

This paper aims to design and develop a network infrastructure for a smart campus using the Internet of Things which can be used to control different devices and to update the management with real-time data. In this proposed system, NodeMCU ESP8266 is interfaced with thermal and motion sensor for human, humidity and temperature sensor for the room and relay to control the lights and the air-conditioned. MQTT broker is used to acquire the data and control to and from NodeMCU ESP8266, Raspberry pi and LoRa, to be interfaced wirelessly with the Node-Red. Thus, the system is controlled and monitored wirelessly with the help of the developed integrated Graphical User Interface along with the Mobile application. The performance of the developed proposed system is analyzed and evaluated by testing the motion detection in the classroom, the LoRa range with the RSSI, the average time taken by the system to respond, the average time taken for the Graphical User Interface to response and update its data. Finally, the average time taken by the system and the Graphical User Interface to respond to the lights and air-conditioned control systems is less than 1 s, and for the security and parking systems is less than 2 s.

scholarly journals TailTimer: an open-source device for automating the rodent tail immersion assay

2020 ◽  
Author(s):  
Mallory E. Udell ◽  
Angel Garcia Martinez ◽  
Tengfei Wang ◽  
Jie Ni ◽  
Christian Hurt ◽  
...  
Keyword(s):  
User Interface ◽  
Water Temperature ◽  
Open Source ◽  
Radio Frequency Identification ◽  
Raspberry Pi ◽  
Thermal Pain ◽  
Withdrawal Latency ◽  
Tail Immersion ◽  
Two Factors ◽  
Thermal Pain Sensitivity

AbstractThe tail immersion assay is a widely used method for measuring acute thermal pain in a way which is quantifiable and reproducible. It is non-invasive and measures response to a stimulus that may be encountered by an animal in its natural environment. However, tail withdrawal latency data are usually collected manually, and precise temperatures of the water at the time of measurement are most often not recorded. These two factors can reduce the reproducibility of tail immersion assay data. We designed a device, TailTimer, which uses the Raspberry Pi single-board computer and a temperature sensor, to automatically record both tail withdrawal latency and water temperature. The device has a radio frequency identification (RFID) system that can record the ID of animals. Our software recognizes several specific RFID keys as user interface commands, which allows TailTimer to be operated via RFID fobs. We also programmed the device to only allow tests to be conducted when the water is within ± 0.25 °C of the target temperature. Data recorded using the TailTimer device showed a linear relationship between tail withdrawal latency and water temperature when tested between 47 - 50 °C. We also observed a profound effect of water mixing speed on tail withdrawal latency. Our data further revealed significant strain and sex differences, valorizing TailTimer in its ability to detect genetically-determined variations in thermal pain sensitivity.Significance StatementQuantification of tail withdrawal latency in response to thermal pain has essentially remained the same since the method was first introduced decades ago and relies on manual recording of water temperature and tail withdrawal latency. Such manual methods engender relatively substantial variability and are potential contributors to some of the discrepancies present among relevant research. The open source TailTimer device we report here is simple and inexpensive to manufacture. The RFID-based user interface is ergonomic, especially in animal facilities where space is limited and gloves are mandatory. We anticipate that the increased reproducibility of tail withdrawal latency provided by TailTimer will augment its utility in nociception and addiction research.

scholarly journals Implementasi Raspberry Pi 3 pada Sistem Pengontrol Lampu berbasis Raspbian Jessie

2019 ◽  
Vol 5 (1) ◽  
pp. 46
Author(s):  
Rahmat Novrianda Dasmen ◽  
Rasmila .
Keyword(s):  
User Interface ◽  
Action Research ◽  
Personal Computer ◽  
Model Fitting ◽  
Raspberry Pi

Pada penelitian sebelumnya telah dihasilkan sistem pengontrol lampu menggunakan SMS gateway dengan bantuan perangkat mikrokontroler. Hal tersebut memberikan kemudahan manusia terhadap pengontrolan on/off lampu rumah, sehingga tidak perlu lagi repot untuk menekan saklar lampu yang berada di dinding rumah. Seiring dengan perkembangan teknologi, telah berkembang juga perangkat pengontrol, yaitu Raspberry Pi 3 yang juga sering disebut sebagai mini Personal Computer (PC). Pada penelitian ini digunakan perangkat Raspberry Pi 3 untuk menerapkan Sistem Operasi Raspbian Jessie pada sistem pengontrol lampu serta menggunakan metode action research dalam memperoleh hasil penelitian sesuai dengan tujuan. Selain itu, dibutuhkan juga bahasa pemrograman phyton untuk dapat menjalankan user interface sistem pengontrol lampu berbasis Raspberry Pi 3. Pada pengujian sistem pengontrol lampu, digunakan lampu pijar senter dengan model fitting E10 dan lampu pijar rumah dengan model fitting E27. Hasil penelitian ini menunjukan bahwa Raspberry Pi 3 dengan Raspbian Jessie dibantu dengan perangkat modul relay dapat digunakan untuk mengontrol on/off lampu pijar rumah (model fitting E27) dengan mudah dan baik menggunakan user interface berbasis web. 

scholarly journals Autonomous Mars Rover Design using SOLIDWORKS and User Interface development via Internet of Things

2021 ◽  
Vol 9 (10) ◽  
pp. 1441-1451
Author(s):  
Srutanjay Ramesh
Keyword(s):  
User Interface ◽  
Internet Of Things ◽  
Graphical User Interface ◽  
Vision System ◽  
Raspberry Pi ◽  
Sensors And Actuators ◽  
Multiple Control ◽  
Mars Rover ◽  
Voice Control ◽  
Motion Studies

Abstract: In this paper, an autonomous Mars Rover is designed using the software SOLIDWORKS and a mechanical model is developed with in-depth simulations to analyse the functions of the vehicle. Furthermore, a graphical user interface is also developed based on the principles of Internet of Things using Node-Red to control and monitor the rover remotely. The red planet, i.e.; Mars, has been the centre of attraction for over 2 decades now, with astrophysicists and engineers working in unison to build devices and launch shuttle programs to understand and learn about the planet and gather more intelligence. This paper proposes the detailed development of a 6-wheeled rover that could explore the terrains of Mars, featuring a stereo vision system that could provide live video coverage and a robotic arm that can facilitate investigation of the surface, in an attempt to contribute to and fulfil the human race’s mission to Mars. It employs multiple onboard sensors that can acquire necessary data pertaining to the environmental conditions and actuators that enable functionality, with the sensors and actuators integrated onto a control system based on microcontrollers and microprocessors such as Arduino and Raspberry Pi. The rover also has a provision of a payload bay in its rear which enables it to carry loads. The SOLIDWORKS tool from Dassault systèmes is used to design and model the rover and carry out static analysis and motion studies. The GUI developed in the further sections allows overall voice control for the user and makes the task of monitoring the rover a much simpler task by eliminating the complexity that rises due to multiple control platforms. Keywords: Mars Rover, Graphical User Interface (GUI), Chassis, Mastcam, Actuators, Internet of Things (IoT), Nitinol, Payload

scholarly journals IoT Based Greenhouse Monitoring System Using Raspberry Pi

2021 ◽  
pp. 360-367
Author(s):  
Santosh Karle ◽  
Vivek Bansode ◽  
Prekshita Tambe ◽  
Rajesh Bhambare
Keyword(s):  
User Interface ◽  
Conceptual Framework ◽  
Monitoring System ◽  
Crop Production ◽  
Real Data ◽  
Raspberry Pi ◽  
Design And Implementation ◽  
Commercial Crop ◽  
User Friendly ◽  
End Results

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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