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

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.

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 Object Detection Robot Using Fuzzy Logic Controller Through Image Processing

2021 ◽  
Vol 1737 (1) ◽  
pp. 012045
Author(s):  
M Khairudin ◽  
S Yatmono ◽  
AC Nugraha ◽  
M Ikhsani ◽  
A Shah ◽  
...  
Keyword(s):  
Image Processing ◽  
Fuzzy Logic ◽  
Object Detection ◽  
Fuzzy Logic Controller

Study on the Measuring and Positioning of the Rim Valve Hole Based on Machine Vision

2014 ◽  
Vol 711 ◽  
pp. 333-337 ◽  
Author(s):  
Fang Wang ◽  
Chao Kun Ma ◽  
Shan Qiang Dai ◽  
Chang Chun Li
Keyword(s):  
Image Processing ◽  
Machine Vision ◽  
Measurement Method ◽  
Ccd Camera ◽  
Servo Motor ◽  
Processing Characteristic ◽  
Linear Ccd ◽  
Hole Position ◽  
And Control

The author has designed a visual workbench to realize that the rim can rotate with the workbench. Meanwhile, the linear CCD camera records the rim’s circumference. The paper has explored the measurement method of getting the rim valve hole position using machine vision. The system can calculate the position of rim-hole and control the servo motor by image processing, characteristic recognizing and measuring to locate the position of wheel-hole automatically. And the paper has verified the accuracy of the method by experiments.

scholarly journals Practice Teaching Reform of Mechanical Design and manufacture and Its Automation Specialty under Transformation and Development

2018 ◽  
Vol 1 (2) ◽  
pp. 48
Author(s):  
Qian Yi
Keyword(s):  
Teaching Strategies ◽  
Mechanical Design ◽  
Colleges And Universities ◽  
Teaching Reform ◽  
Practice Teaching ◽  
The Times ◽  
Important Position ◽  
Design And Manufacture ◽  
Education Transformation ◽  
Practical Teaching

With the development of the times, undergraduate colleges and universities begin to transform and develop to adapt to the changing society, and put forward new requirements for practical teaching strategies, especially for applied undergraduate colleges. The reform of practical teaching is particularly important. Under the development of education transformation, the reform of mechanical design and manufacture and the practice teaching of automation specialty also occupy a very important position. Through the understanding of the reform of the practical teaching of this specialty, the effect of the reform is observed, and a reasonable teaching scheme is put forward to promote the steps of the transformation of the practical teaching.

scholarly journals ANALYSIS AND DESIGN OF Q-STORE MARKETPLACE  CASE STUDY OF TEMBILAHAN

2020 ◽  
Vol 2 (1) ◽  
pp. 15-28
Author(s):  
Irwandi Rizki Putra ◽  
Muh. Rasyid Ridha
Keyword(s):  
Technological Development ◽  
Human Life ◽  
Unified Modeling Language ◽  
Business World ◽  
Unified Modeling ◽  
The Public ◽  
Analysis And Design ◽  
Online Marketplace ◽  
The Times

Along with the times, technology and information are developing rapidly in various sectors in terms of human life. In the business world, technological development is very helpful in many ways. The phenomenon that occurs at this time is the increasingly widespread competition in the business world, especially in the field of marketplace in getting consumers to the emergence of various online marketplace sites. So far, Tembilahan online shop business is only known through social media such as Facebook, Whatsapp and Instagram or verbally to the public. Therefore, researchers are interested in taking a title, namely Marketpleace Q-Store Market Analysis and planning. Tembilahan Case Study aims to become a media promotion, and can make it easier for people to find goods that they want. In designing this Marketplace, the analysis used is PIECES and UML (Unified Modeling Language) as modeling and using the Framework code igniter to facilitate researchers in building systems. With the implementation of the Marketplace Q-Store, it provides a platform for seller to market their products.

scholarly journals A Deep Learning-Based Fragment Detection Approach for the Arena Fragmentation Test

2020 ◽  
Vol 10 (14) ◽  
pp. 4744
Author(s):  
Hyukzae Lee ◽  
Jonghee Kim ◽  
Chanho Jung ◽  
Yongchan Park ◽  
Woong Park ◽  
...  
Keyword(s):  
Image Processing ◽  
Deep Learning ◽  
Object Detection ◽  
High Speed ◽  
Detection Algorithm ◽  
Learning Technologies ◽  
Experimental Conditions ◽  
Fragmentation Test ◽  
Detection Approach ◽  
Previous Image

The arena fragmentation test (AFT) is one of the tests used to design an effective warhead. Conventionally, complex and expensive measuring equipment is used for testing a warhead and measuring important factors such as the size, velocity, and the spatial distribution of fragments where the fragments penetrate steel target plates. In this paper, instead of using specific sensors and equipment, we proposed the use of a deep learning-based object detection algorithm to detect fragments in the AFT. To this end, we acquired many high-speed videos and built an AFT image dataset with bounding boxes of warhead fragments. Our method fine-tuned an existing object detection network named the Faster R-convolutional neural network (CNN) on this dataset with modification of the network’s anchor boxes. We also employed a novel temporal filtering method, which was demonstrated as an effective non-fragment filtering scheme in our recent previous image processing-based fragment detection approach, to capture only the first penetrating fragments from all detected fragments. We showed that the performance of the proposed method was comparable to that of a sensor-based system under the same experimental conditions. We also demonstrated that the use of deep learning technologies in the task of AFT significantly enhanced the performance via a quantitative comparison between our proposed method and our recent previous image processing-based method. In other words, our proposed method outperformed the previous image processing-based method. The proposed method produced outstanding results in terms of finding the exact fragment positions.

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