scholarly journals DESENVOLVIMENTO DE UM DISPOSITIVO PARA APOIO AO ENSINO DE COMPUTAÇÃO E ROBÓTICA

2014 ◽  
Vol 6 (2) ◽  
pp. 71-85
Author(s):  
Rafael de Oliveira Maia ◽  
Francisco Assis da Silva ◽  
Mário Augusto Pazoti ◽  
Leandro Luiz de Almeida ◽  
Danillo Roberto Pereira
Keyword(s):  
Image Processing ◽  
Computer Science ◽  
Programming Language ◽  
Raspberry Pi ◽  
Writing Programs ◽  
Python Programming Language ◽  
Python Programming ◽  
And Robotics

In this work we proposed the development of an alternative device as a motivating element to learn computer science and robotics using the Raspberry PI and Arduino boards. The connections of all hardware used to build the device called Betabot are presented and are also reported the technologies used for programming the Betabot. An environment for writing programs to run at Betabot was developed. With this environment it is possible to write programs in the Python programming language, using libraries with functions specific to the device. With the Betabot using a webcam and through image processing search for patterns like faces, circles, squares and colors. The device also has functions to move servos and motors, and capture values returned by some kindsof sensors connected to communication ports. From this work, it was possible to develop a device that is easy to be manipulated and programmed, which can be used to support the teaching of computer science and robotics.

scholarly journals scikit-image: Image processing in Python

2014 ◽  
Author(s):  
Stéfan van der Walt ◽  
Johannes L Schönberger ◽  
Juan Nunez-Iglesias ◽  
François Boulogne ◽  
Joshua D Warner ◽  
...  
Keyword(s):  
Image Processing ◽  
Open Source ◽  
Programming Language ◽  
Real World ◽  
Research Education ◽  
Python Programming Language ◽  
Image Library ◽  
Industry Applications ◽  
Python Programming ◽  
World Image

scikit-image is an image processing library that implements algorithms and utilities for use in research, education and industry applications. It is released under the liberal "Modified BSD" open source license, provides a well-documented API in the Python programming language, and is developed by an active, international team of collaborators. In this paper we highlight the advantages of open source to achieve the goals of the scikit-image library, and we showcase several real-world image processing applications that use scikit-image.

scholarly journals Machine Learning-Based Technique for Image Classification and Identification of Similarity for Commonness of Source

2020 ◽  
Vol 9 (6) ◽  
pp. 544-548
Keyword(s):  
Machine Learning ◽  
Image Processing ◽  
Edge Detection ◽  
Image Classification ◽  
Programming Language ◽  
Python Programming Language ◽  
Reserve Bank ◽  
Python Programming ◽  
Highlight Extraction ◽  
Reserve Bank Of India

In India Every year RBI (Reserve bank of India) faces the issue of fake currency. Fake Currency has consistently been an issue that has made a lot of chaos in the market. The expanding mechanical progressions have made the opportunities for making progressively fake currency which is circled in the market which decreases the general economy of the nation. There are machines present at banks and other business regions to check the validness of the monetary forms. Be that as it may, a typical man doesn't approach such frameworks and henceforth a requirement for a product to distinguish counterfeit cash emerges, which can be utilized by average folks. This proposed framework utilizes Image Processing to identify whether the currency is real or fake. The framework is structured utilizing Python programming language and OpenCV. It comprises of the means, for example, grayscale detection, edge detection, Highlight Extraction, and so forth which are performed utilizing reasonable strategies. And which will be further implemented in the Framework for Classification and Identification of Similarity for Commonness of Source

scholarly journals Design and Fabrication of Emergency Drone Recovery System

2020 ◽  
Vol 9 (5) ◽  
pp. 424-427
Keyword(s):  
Programming Language ◽  
Safety Issue ◽  
Raspberry Pi ◽  
Accelerometer Sensor ◽  
The Past ◽  
Python Programming Language ◽  
Recovery System ◽  
Python Programming ◽  
Time Movement ◽  
New System

The drone market has seen a surge in the past few years and the number of consumer drones has been on the increase. With even beginners starting to fly drones, there is a serious safety issue of whether the drone will crash because of technical and unforeseen problems. It may lead to injury of people going about their day and may even cause damage to material things on the ground and naturally damage the drone itself. So, there is a need for a new system which would substantially prevent these kinds of problems. The Emergency Drone System (EDR) will be a solution and will be a versatile fit in all drones. The EDR system uses the MPU-6050 gyroscope and accelerometer sensor along with MPL3115A2 Pressure based Altitude sensor to get input on the real-time movement of the drone and analyses using the algorithm coded into the Raspberry Pi using Python programming language. Apart from this, it also inputs data from the flight controller and analyses it. The parameters such as the altitude, rate of rotation and rate of fall are calculated and based on the algorithm if any kind of anomaly is detected it is programmed to deploy the parachute which will automatically prevent the crashing of the drone. So by which the crashing of drone and damage to property is prevented and safety of people below the drone is ensured.

scholarly journals Object Detection with a Webcam Using the Python Programming Language

2021 ◽  
Vol 2 (2) ◽  
pp. 103-111
Author(s):  
Ali Basrah Pulungan ◽  
Zhafranul Nafis ◽  
Muhammad Anwar ◽  
Hastuti ◽  
Hamdani ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Image Processing ◽  
Object Recognition ◽  
Object Detection ◽  
Programming Language ◽  
Python Programming Language ◽  
Detection Of Objects ◽  
The Times ◽  
Python Programming ◽  
Shape And Size

Technology developed rapidly along the times, various ways are done to make works easier. One of them is by utilizing artificial intelligence, likes the use of a webcam as a sensor in detecting an object through several stages of image processing. There was research on object recognition previously using three measurement parameters based on color, shape, and size of objects. It is used a webcam as the sensing sensor, and image processing is processed with python programming. In this article, writer described about image processing for the detection of objects used in the research. The results of this device have been tested and are able to detect objects properly based on predetermined color, shape and size. Object detection using a webcam can work properly according to what the author wants.

scholarly journals scikit-image: Image processing in Python

2014 ◽  
Author(s):  
Stéfan van der Walt ◽  
Johannes L Schönberger ◽  
Juan Nunez-Iglesias ◽  
François Boulogne ◽  
Joshua D Warner ◽  
...  
Keyword(s):  
Image Processing ◽  
Open Source ◽  
Programming Language ◽  
Real World ◽  
Research Education ◽  
Python Programming Language ◽  
Image Library ◽  
Industry Applications ◽  
Python Programming ◽  
World Image

scikit-image is an image processing library that implements algorithms and utilities for use in research, education and industry applications. It is released under the liberal "Modified BSD" open source license, provides a well-documented API in the Python programming language, and is developed by an active, international team of collaborators. In this paper we highlight the advantages of open source to achieve the goals of the scikit-image library, and we showcase several real-world image processing applications that use scikit-image.

scholarly journals PH Meter Based Raspberry Pi and User Interface using Python

2019 ◽  
Vol 9 (1) ◽  
pp. 1334-1338
Keyword(s):  
User Interface ◽  
Programming Language ◽  
Ph Sensor ◽  
Measurement Data ◽  
Raspberry Pi ◽  
Graphic User Interface ◽  
Measuring Instrument ◽  
Measuring Device ◽  
Python Programming Language ◽  
Python Programming

The article about pH meter based on Raspberry Pi 3 has been created. This instrument serves as a measure of acid base levels of solution capable of displaying a GUI ( Graphic User Interface ) based interface programmed in the Raspberry Pi 3 System On Chip with the Python programming language. The purpose of this research is to innovate Raspberry Pi 3 based pH measuring device, to create interfaces and store pH measurement data based on Raspberry Pi 3 and Python programming language, find out the results of heuristic analysis on pH meter measuring instrument innovations, and determine the accuracy of the pH meter based on Raspberry Pi 3. The method used to pH sensor chararacterization in making this measuring instrument is heuristic method.The characterization sensor result show that the accuracy value of the pH sensor is 99,97%, the precision value of the pH sensor is 99,99%, the sensitivity value of pH sensor is 6,45 mV/pH, the correlation value of the pH meter is 99,89%. Based on the result of the analysis that has been carried out, it can be conclude the innovation in pH measuring device that are made have a good accuracy and can measure well.

scholarly journals Sistem Pergerakan Robot Kiper Beroda Menggunakan Metode Wall Follower Berbasis Image Processing

ELKHA ◽  
2020 ◽  
Vol 12 (1) ◽  
pp. 1
Author(s):  
Risfendra Risfendra ◽  
Asfinaldi Asfinaldi ◽  
Habibullah Habibullah ◽  
Julisardi Julisardi
Keyword(s):  
Image Processing ◽  
Programming Language ◽  
Input Data ◽  
Analysis Data ◽  
Efficiency Ratio ◽  
Soccer Robot ◽  
Robot System ◽  
Actual Distance ◽  
Python Programming Language ◽  
Python Programming

One of Indonesian Robot Contest divisions is the Indonesia wheeled soccer robot contest. There are three players called the striker, defense and goalkeeper robot, which is drived by wheels that controlled based on three aferomentioned positions. This study aims build the goalkeeper robot equipped with image processing to detect the ball using a camera sensor that installed in the the robot system. The Image processing contructed using the python programming language with OpenCV library. The results of image processing are used as input data that controlled by Arduino Mega 2560, which is connected serially to the PC's USB port. The results shows the maximum linear velocity that can be achieved is 1.59 m/s. Furthermore, the efficiency ratio of analysis data to the actual distance is 86.77 %

scholarly journals scikit-image: Image processing in Python

2014 ◽  
Author(s):  
Stéfan van der Walt ◽  
Johannes L Schönberger ◽  
Juan Nunez-Iglesias ◽  
François Boulogne ◽  
Joshua D Warner ◽  
...  
Keyword(s):  
Image Processing ◽  
Open Source ◽  
Programming Language ◽  
Real World ◽  
Research Education ◽  
Python Programming Language ◽  
Image Library ◽  
Industry Applications ◽  
Python Programming ◽  
World Image

scikit-image is an image processing library that implements algorithms and utilities for use in research, education and industry applications. It is released under the liberal "Modified BSD" open source license, provides a well-documented API in the Python programming language, and is developed by an active, international team of collaborators. In this paper we highlight the advantages of open source to achieve the goals of the scikit-image library, and we showcase several real-world image processing applications that use scikit-image.

scholarly journals IbM ASAH KREATIVITAS ANAK DENGAN PENGENALAN KENDALI RASPBERRY PI

2019 ◽  
Vol 2 (1) ◽  
pp. 13
Author(s):  
Angga Prasetyo ◽  
Yovi Litanianda
Keyword(s):  
Programming Language ◽  
General Purpose ◽  
Raspberry Pi ◽  
Input Output ◽  
Python Programming Language ◽  
Input Control ◽  
Robotic Devices ◽  
Interaction Approach ◽  
Python Programming ◽  
And Control

Abstrak: Umumnya kita ketahui bahwa selama ini anak-anak terlanjur dengan dimanjakan oleh komputer canggih dan punya penampilan menarik seperti iPad, Mac, Window yang pada dasarnya anak-anak ingin bereksperimen dengan komputer yang mereka miliki, tetapi mereka merasa takut apabila terjadi kerusakan. Tingginya minat dari siswa untuk mengeksplorasi dirinya dalam bidang teknologi khususnya di bidang komputer, maka dibutuhkan pelatihan sebagai bekal informasi seperti Raspberry. Pelatihan pengenalan mikro komputer raspberry pi bertujuan untuk mengenalkan proses kendali input output terhadap perangkat keras dari pendekatan interaksi bahasa pemrograman phyton meliputi, mulai dari tahap instalasi, pegenalan general purpose input output (GPIO), fungsional port perangkat, proses interaksi contohnya: resistor, LED, project board, LCD, relay, motor DC, robotic serta mengendalikannya dengan smartphone. Pendekatan pengenalan mikrokomputer dan bahasa pemrograman python memacu kreativitas untuk menciptakan suatu kendali perintah bagi perangkat keras, serta mampu mendeskripsikan kecerdasan buatan pada perangkat robotic. Abstract:  We generally know that all children have been pampered by sophisticated computers and have an attractive appearance such as iPad, Mac, Window which basically kids want to experiment with the computer they have, but they feel Fear of damage. The high interest of students to explore themselves in the field of technology, especially in the field of computer, it takes training as a provision of information such as Raspberry. Raspberry Pi Micro Computer Recognition training aims to introduce the process of input control output to the hardware of a Python programming language interaction approach, ranging from the installation stage, the general purpose input Output (GPIO), functional device port, interaction process For example: resistor, LED, project board, LCD, relay, DC motor, robotic and control it with smartphones. The approach to microcomputer recognition and the Python programming language promotes creativity to create a control of commands for hardware, and is capable of describing artificial intelligence on robotic devices

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