Object Detection with a Webcam Using the Python Programming Language

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.

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

Colloquium Exactarum ◽

10.5747/ce.2014.v06.n2.e077 ◽

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.

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About the need to change the content of professional training of a future informatics teacher in artificial intelligence

Informatics and Education ◽

10.32517/0234-0453-2020-35-4-12-26 ◽

2020 ◽

pp. 12-26

Author(s):

K. V. Rozov

Keyword(s):

Artificial Intelligence ◽

Programming Language ◽

Information Technologies ◽

Professional Training ◽

Educational Process ◽

Federal State ◽

High Tech ◽

Current Trends ◽

Python Programming Language ◽

Python Programming

The article examines the current state of teacher training in artificial intelligence. The content of disciplines related to artificial intelligence included in the curricula of pedagogical universities of Russia is analyzed. The current trends in the selection of software tools used for developments in artificial intelligence technologies in Russia and abroad are considered. The objective of the article is to substantiate the need to review the content of the training of a future informatics teacher in artificial intelligence, taking into account current trends in the development of artificial intelligence technologies and the requirements of Federal State Educational Standards. From studying expert systems, the Prolog and Lisp languages, the author suggests moving on to studying modern tools for implementing artificial intelligence technologies using the Python programming language. The article provides the content of the discipline “Technology of Artificial Intelligence” proposed by the author, being tested at the Novosibirsk State Pedagogical University. Such a change in the content is intended to ensure the practical orientation of the educational process within the framework of the relevant discipline, to increase the competence of the future informatics teacher in the field of modern high tech information technologies, to promote the development of motivation to learn the current Python programming language, thereby increasing its competitiveness in the labor market.

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Voice Assistant based Telecommunication System (Tele-Bot)

International Journal of Engineering and Advanced Technology - Regular Issue ◽

10.35940/ijeat.d7443.049420 ◽

2020 ◽

Vol 9 (4) ◽

pp. 1463-1465

Keyword(s):

Artificial Intelligence ◽

Machine Learning ◽

Programming Language ◽

Voice Recognition ◽

Telecommunication System ◽

Python Programming Language ◽

Artificial Intelligence Technology ◽

Scripting Language ◽

High Level ◽

Python Programming

In this research we are aiming to plan, develop and deploy a model which is based on voice recognition. We trying to inculcate algorithm which are based on machine learning and also using artificial intelligence technology. We are learning the stages of voice recognition technology, depth of its working accuracy, probabilistic use cases, and system friendliness with the help of Python Programming Language. In order to increase the efficiency of system we are going to take response time into consideration which is crucial requirement into current environment. Python is easy to learn, High Level, Power full programming Scripting language. Fully developed voice recognition modules are to be used for development of our research oriented topic

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

International Journal of Innovative Technology and Exploring Engineering - Special Issue ◽

10.35940/ijitee.f3805.049620 ◽

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

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PYTHON PROGRAMMING LANGUAGE IN PEDAGOGICAL UNIVERSITY: FROM THE BASES TO ARTIFICIAL INTELLIGENCE

Informatics and Education ◽

10.32517/0234-0453-2019-34-6-26-33 ◽

2019 ◽

pp. 26-33 ◽

Cited By ~ 1

Author(s):

K. V. Rozov ◽

A. V. Podsadnikov

Keyword(s):

Artificial Intelligence ◽

Programming Languages ◽

Programming Language ◽

Professional Training ◽

Future Teachers ◽

Python Programming Language ◽

Artificial Intelligence In Education ◽

Key Issues ◽

Organizational Features ◽

Python Programming

The article actualizes the choice of Python programming language for professional training of future teachers of informatics in pedagogical university. Python, being one of the most relevant programming languages, is being introduced into education, and the future informatics teacher should be ready to effectively use it to teach the basics of programming. In addition, the Python language is one of the leading tools for the implementation of advanced technologies of artificial intelligence, and therefore, owning this programming language teacher can be part of the mechanism of implementation of artificial intelligence in education. The objective of the article is to consider the features of the organization of the course of programming in Python for the training of future teachers of informatics. Methodology. During the development of the author’s course of programming in Python educational literature on programming in this language was analyzed, as well as articles by practicing teachers and researchers describing their experience of teaching Python. Results and conclusion. To ensure quality training of future teachers of informatics at Novosibirsk State Pedagogical University a course of programming in Python was developed and tested in the discipline “Programming”. During the development of the course, typical problems of teaching Python at school and university were taken into account, identified by both the authors of the article and other practicing programming teachers. The structure of the developed course with the description of its constituent sections is given. The article presents the results of a survey of students of 3d and 4th undergraduate courses, who completed the presented course, on the key issues covered in the article. Respondents noted the relevance of learning Python and the effectiveness of certain organizational features of the course. The continuity of the course for further training of future teachers of informatics to the current technologies of artificial intelligence is revealed.

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Rancangan Alat Pendeteksi Benda dengan Berdasarkan Warna, Bentuk, dan Ukuran dengan Webcam

JTEIN: Jurnal Teknik Elektro Indonesia ◽

10.24036/jtein.v2i1.111 ◽

2021 ◽

Vol 2 (1) ◽

pp. 49-54

Author(s):

Ali Basrah Pulungan ◽

Zhafranul Nafis

Keyword(s):

Image Processing ◽

Object Detection ◽

Technological Development ◽

Automation System ◽

Servo Motor ◽

The Times ◽

Design And Manufacture ◽

Shape And Size

Along with the times, technology is also developing so rapidly, one of the innovations in technological development is the use of webcams. the use of a webcam can be developed as a sensor in detecting an object through several stages of image processing. The use of a webcam aims to simplify an automation system so that it can be used to perform several tasks at once. Therefore, the author intends to design and manufacture an object detector with measurement parameters of the object's color, shape and size. This tool uses a webcam as a sensing sensor, and uses programming in PYTHON to recognize objects to be detected, and uses a servo motor to drive object actuators. The results of this tool have been tested and are able to detect objects properly based on predetermined color, shape and size. This tool is also able to separate objects that meet specifications from objects that do not meet specifications. Object detection using a webcam and an object separating actuator can work well.

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scikit-image: Image processing in Python

10.7287/peerj.preprints.336v2 ◽

2014 ◽

Cited By ~ 2

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.

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

ELKHA ◽

10.26418/elkha.v12i1.35245 ◽

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 %

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scikit-image: Image processing in Python

10.7287/peerj.preprints.336 ◽

2014 ◽

Cited By ~ 1

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.

Download Full-text