scholarly journals Development of Water Surface Mobile Garbage Collector Robot

2021 ◽  
Vol 36 (1) ◽  
pp. 534-540
Author(s):  
Nurul Anis Syahira Kamarudin ◽  
Ili Najaa Aimi Mohd Nordin ◽  
Dalila Misman ◽  
Nurulaqilla Khamis ◽  
Muhammad Rusydi Muhammad Razif ◽  
...  
Keyword(s):  
Water Surface ◽  
Load Capacity ◽  
Smartphone Application ◽  
Processing Technique ◽  
Image Processing Technique ◽  
Small Scale ◽  
Garbage Collector ◽  
The People ◽  
Food Packages ◽  
Bluetooth Communication

This paper presents a prototype of Water Surface Mobile Garbage Collector Robot built in motivation to educate the people to love and monitor the health of our rivers by collecting the trash themselves using mobile robot. The garbage collector is designed aimed for the cleaning of small-scale lakes, narrow rivers, and drains in Malaysia. The navigation of the robot is controlled using wireless Bluetooth communication from a smartphone application. The performance of the water garbage collector in terms of manoeuvring control efficiency and garbage collection load capacity was tested and evaluated. Based on the experimental results from a swimming pool, it can operate within a 4-metre range and collect 192 grams of small to medium sized recyclable garbage such as food packages, water bottles, and plastics in 10 seconds. It managed to float and navigate on the Panchor River within Bluetooth network range. A strong, lightweight and waterproof material is recommended for use for this water garbage collector. A proximity sensor or image processing technique for detecting garbage on the water surface may be studied and included in the future to enable a fully autonomous manoeuvring control system.

scholarly journals Automatic Tajweed Rules Recognition using K-Nearest Neighbour (K-NN)

2019 ◽  
Vol 8 (2S11) ◽  
pp. 552-557
Keyword(s):  
Classification Accuracy ◽  
Major Axis ◽  
Shape Descriptor ◽  
Processing Technique ◽  
Input Image ◽  
Minor Axis ◽  
Image Processing Technique ◽  
Nearest Neighbour ◽  
The People ◽  
Axis Length

Tajweed refers to a pronunciation rule for Al-Quran recitation in Islam. It acts as guidance for Muslims in reciting the Al-Quran in a correct manner. Yet, Tajweed rules could be complicated as it consists of various types of laws. It could also be confusing, and difficult to remember particularly for the people who have less knowledge in Tajweed rules. Thus, a study on automatic tajweed rules recognition using image processing technique is proposed. The scope of this study is limited to Idgham laws only. Initially, the input image went through the pre-processing process which includes four sub-processes which are greyscale conversion, binary conversion, thinning and flip, and word segmentation. Next, six attributes of shape descriptor which are major axis length, minor axis length, eccentricity, filled area, solidity, and perimeter were extracted from each input image. A technique of k-Nearest Neighbour (k-NN) is employed to recognize the two types of Idgham Laws which are Idgham Maal Ghunnah and Idgham Bila Ghunnah. The performance of the proposed study is evaluated to 180 testing images which returned 84.44% of classification accuracy. The outcome of this study is expected to recognize the Tajweed rules automatically and may assist the user on a proper recitation of Al-Quran.

scholarly journals Two Way Communication for the Differently Abled.

2020 ◽  
Vol 9 (4) ◽  
pp. 2032-2035
Keyword(s):  
Sign Language ◽  
Birth Defects ◽  
English Language ◽  
Processing Technique ◽  
Main Channel ◽  
Image Processing Technique ◽  
Standard English ◽  
Normal People ◽  
The People ◽  
The One

Communication is the main channel for the people to interact with each other, every day we see many people who are facing challenges like deaf, dumb, facing the difficulty to interact with others. Due to birth defects, injuries and oral disorders, there has been a dramatic increase in the number of deaf and deaf victims in recent years. As they are unable to communicate with normal people, they must rely on some kind of visual communication. Formerly developed techniques are all sensors based and they didn’t give the general solution and were not economical. One of the main paradigms that we focus on is to endeavour the linking between the Sign Language medium with the Standard English Language and thus providing the communication between the two communities in a seamless experience. This project is developed in such a way to allow twoway communication between the one who knows the sign language (deaf and dumb) and the one who doesn’t(rest).Our project uses camera to take images of different gestures and image processing technique is used to recognise gestures and give audio and text as an output. On the other hand, for the reply our project will also process Speech to give back Sign language gestures as a reply to complete two-way communication.

scholarly journals Slide Development of Remote Control Camera with Bluetooth Communication

2019 ◽  
Vol 8 (2S6) ◽  
pp. 60-64
Keyword(s):  
Imaging System ◽  
Processing Technique ◽  
Human Motion ◽  
Image Processing Technique ◽  
Correction Function ◽  
Stepping Motor ◽  
Smartphone Apps ◽  
Motion Controller ◽  
Camera Shake ◽  
Bluetooth Communication

In this paper, we developed a slide imaging system that compensates for tremor when shooting using a camera. It uses a microprocessor to control the stepping motor, and can control slideshows with smartphone apps. We also developed an object tracking method, which is an image processing technique, to automatically capture human motion. It is not easy to obtain a clear image by camera shake when photographing an object with a camera. Some products have recently added camera shake correction function, but products added with such functions are often expensive in price. For these reasons, video equipment sliders are also used by video shooting experts and the general public. However, the conventional products have troublesomeness that people have to move directly. Electric sliders created to solve such inconveniences need to be attached to rails and controlled with buttons, if a motion controller is added. In this thesis, we developed the electric slider that operates with the button using Bluetooth telecommunication of the smartphone so that the position and speed of the slider can be controlled, and in order to reduce the blur, the stepping motor Control.

scholarly journals Petrographic Microscope Digital Image Processing Technique for Texture and Microstructure Interpretation of Earth Materials

2020 ◽  
Vol 9 (1) ◽  
pp. 58
Author(s):  
Beatriz M. Dias ◽  
Victor F. Velázquez ◽  
Rodrigo F. Lucena ◽  
José M. Azevedo Sobrinho
Keyword(s):  
Image Processing ◽  
Digital Image Processing ◽  
Digital Image ◽  
Raw Materials ◽  
Polarized Light ◽  
Processing Technique ◽  
Image Processing Technique ◽  
Small Scale ◽  
Detection Techniques

The technique of description and characterization of rocks with the aid of a polarized light microscope is a well-established practice in the fields of mineralogy and petrology. However, because geological materials are inherently highly variable on a small scale, capturing good-quality images, particularly of the fine details present in the mineral grains that compose the rock, is the main difficulty encountered when a thin section is examined under a petrographic microscope. Combining petrographic concepts and digital image processing methods, the principal aim of this paper is to provide a practical approach to digital image treatment with specific software, and its immediate application in the micromorphological characterization of minerals. In addition to the basic calibration of color, brightness, and contrast, three different methods of digital image processing in the spatial domain, following the principles of embossed surface, negative image, and edge detection techniques, were applied to the images. The use of these primary filters was found to be efficient for detailed characterization of the mineralogical phases involved in the different types of microstructures. However, special care must be taken regarding the sensitivity and accuracy parameters to avoid the exclusion of information or the addition of noise to the image. Although research has focused on the distinction of several types of textural features in rock-forming minerals, these techniques can be employed in other areas of investigation, in both academic and industrial settings, to diagnose textures of microtectonic deformation, soil micromorphological features, the proportions of the original ingredients in concretes, and the mineralogical modal determination of ceramics of archeological origin and to characterize mineral raw materials for the manufacture of technological products.

scholarly journals SMT Component Inspection in PCBA’s using Image Processing Techniques

2019 ◽  
Vol 8 (12) ◽  
pp. 541-547
Keyword(s):  
Image Processing ◽  
Character Recognition ◽  
Optical Character Recognition ◽  
Low Cost ◽  
Processing Technique ◽  
Image Processing Technique ◽  
Reference Image ◽  
Small Scale ◽  
Contour Analysis ◽  
Automated Optical Inspection

In the present evolving technology, an Automated Optical Inspection is a solution for identifying the various types of defects occurring in assembled PCB with SMT components. As these high-end machines are expensive, moreover the small scale industries can’t afford such a huge investment, in this paper a low cost image processing technique where a good known reference image is compared with the acquired image is being tried. This work provides an automated approach for identifying few of the defects related to the SMT components found in the assembled PCB, using three different techniques namely Contour Analysis, Optical Character Recognition and Pixel Subtraction for identifying shifted components, value of the components and missing components respectively in LabVIEW platform. The time taken for identifying the various defects through different techniques are calculated and tabulated. Using these techniques the number of errors can be decreased in turn the end performance can also be enhanced with the increased production yield.

A New Image Processing Technique for STEM

1974 ◽  
Vol 32 ◽  
pp. 432-433
Author(s):  
Yasushi Kokubo ◽  
Hirotami Koike ◽  
Teruo Someya
Keyword(s):  
Electron Microscopy ◽  
Image Processing ◽  
Scanning Electron Microscopy ◽  
Elastic Scattering ◽  
Field Emission ◽  
Processing Technique ◽  
Image Processing Technique ◽  
Energy Analyzer ◽  
Scanning Microscope ◽  
Scanning Electron

One of the advantages of scanning electron microscopy is the capability for processing the image contrast, i.e., the image processing technique. Crewe et al were the first to apply this technique to a field emission scanning microscope and show images of individual atoms. They obtained a contrast which depended exclusively on the atomic numbers of specimen elements (Zcontrast), by displaying the images treated with the intensity ratio of elastically scattered to inelastically scattered electrons. The elastic scattering electrons were extracted by a solid detector and inelastic scattering electrons by an energy analyzer. We noted, however, that there is a possibility of the same contrast being obtained only by using an annular-type solid detector consisting of multiple concentric detector elements.

A Comparative Study of Ant and Genetic Algorithms in Digital Mammography

2018 ◽  
pp. 194-200
Author(s):  
J. Magelin Mary ◽  
Chitra K. ◽  
Y. Arockia Suganthi
Keyword(s):  
Genetic Algorithm ◽  
Image Processing ◽  
Medical Image ◽  
Medical Image Processing ◽  
Processing Technique ◽  
Input Image ◽  
Image Processing Technique ◽  
Computational Time ◽  
Image Mining ◽  
The Individual

Image processing technique in general, involves the application of signal processing on the input image for isolating the individual color plane of an image. It plays an important role in the image analysis and computer version. This paper compares the efficiency of two approaches in the area of finding breast cancer in medical image processing. The fundamental target is to apply an image mining in the area of medical image handling utilizing grouping guideline created by genetic algorithm. The parameter using extracted border, the border pixels are considered as population strings to genetic algorithm and Ant Colony Optimization, to find out the optimum value from the border pixels. We likewise look at cost of ACO and GA also, endeavors to discover which one gives the better solution to identify an affected area in medical image based on computational time.

An Enhanced Technique for Classification of Fruits using Shape Color and Texture Features

2017 ◽  
Vol 7 (7) ◽  
pp. 408
Author(s):  
Yashpal Jitarwal ◽  
Tabrej Ahamad Khan ◽  
Pawan Mangal
Keyword(s):  
Image Processing ◽  
Texture Features ◽  
Automatic Classification ◽  
Processing Technique ◽  
Image Processing Technique ◽  
Advance Technique ◽  
Time Required ◽  
Fruit Sorting ◽  
Human Inspection

In earlier times fruits were sorted manually and it was very time consuming and laborious task. Human sorted the fruits of the basis of shape, size and color. Time taken by human to sort the fruits is very large therefore to reduce the time and to increase the accuracy, an automatic classification of fruits comes into existence.To improve this human inspection and reduce time required for fruit sorting an advance technique is developed that accepts information about fruits from their images, and is called as Image Processing Technique.

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