Implementation of Augmented Reality of Android Based Animal Recognition using Marker Based Tracking Methods

Haryanto, Edy Victor; Lubis, Ervianna Lestari; Saleh, Alfa; Fujiati,; Lubis, Nurul Izzah

doi:10.1088/1742-6596/1361/1/012019

Cited by 12 publications

(10 citation statements)

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“…There are several methods used in the transformation of the RGB color space, including CMYK, HSV and L*a*b. HSV (Hue Saturation Value) color is a color that is derived from the RGB (Red Green Blue) color model, so to produce HSV color you must go through the process of converting colors from RGB to HSV [17]. In this study, we have tried various color spaces including RGB, the better result is HSV to get to the segmentation stage.…”

Section: A Hsv Color Space Transformationmentioning

confidence: 99%

Convolutional Neural Network as an Image Processing Technique for Classification of Bacilli Tuberculosis Extra Pulmonary (TBEP) Disease

Riza¹,

Na’am²

2022

TEM Journal

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Tuberculosis Extra Pulmonary (TBEP) is an infectious disease caused by the bacterium Mycobacterium tuberculosis and can cause death. Patients suffering from this disease must be treated quickly without waiting for a long time. Biopsy is one of the techniques used to take the patient's lung fluid and given Ziehl Neelsen chemical dye and then observed using a microscope to determine this TBEP disease. In this research, the TBEP detection process was developed using a classification method, namely CNN with feature extraction and feature selection. The feature uses 5 features where these features are a combination of shape features and texture features with the highest information gain value. From the results of research conducted through the training and testing stages of the classification method using feature selection, the accuracy rate is higher than not using feature selection with a comparison of the feature selection stage increasing 0.6536% for the training process, and 0.8942% for the testing process.

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Section: A Hsv Color Space Transformationmentioning

confidence: 99%

Convolutional Neural Network as an Image Processing Technique for Classification of Bacilli Tuberculosis Extra Pulmonary (TBEP) Disease

Riza¹,

Na’am²

2022

TEM Journal

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“…is feature will be activated when obtaining a trigger from the material contained in the AR marker [30]. With these advantages, these learning media are more practical and effective for developing new competencies in this era [31][32][33].…”

Section: E Used Ar For Learningmentioning

confidence: 99%

The Science Teachers’ Optimism Response to the Use of Marker-Based Augmented Reality in the Global Warming Issue

Sulisworo

Drusmin

Kusumaningtyas

et al. 2021

Education Research International

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During the COVID-19 pandemic, almost all regions of Indonesia, including Sikka, East Nusa Tenggara, and Indonesia, have implemented e-learning. However, this method has not been conducted in all schools due to the problem of uneven Internet access. Disconnection from the Internet makes it difficult to conduct this process effectively even though students have smartphones. Furthermore, the expectation of education quality improvement in sciences also gets higher with the development of today’s world technology, and this cannot be avoided. Augmented reality (AR) gives a variety of opportunities to be utilized as science learning media embedded on smartphones even without an Internet connection. Therefore, this study aims at conducting an intervention towards the teachers through the training and workshops on the use of augmented reality for science learning on the topic of Global Warming. This research was an action research approach. While considering this problem, the intervention of teachers’ behavior and perception was conducted through training and workshops on the use of augmented reality for science learning using a one-shot case study research design. This program had four stages: need identification, strengthening the understanding of using AR, training and workshop implementation, and evaluation. The participants of this program were 24 science teachers from 10 schools at junior high schools in Sikka Regency, Indonesia (17 females, 7 males). The marker-based AR was developed based on learning media need assessment provided by teachers. Teacher optimism was measured using a questionnaire with a Likert scale. The program’s implementation led teachers to understand the use of AR in learning, significantly to develop HOTs (higher-order thinking skills) in science learning. After experiencing training and workshops, the teachers showed high optimism to use AR in science learning. The results of this study imply for the development of school policies to establish digital learning media used without the Internet on various learning issues in rural areas.

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“…Multimedia elements were used to provide attractiveness to users so that these applications had the effective new potential for use in the learning process. Augmented reality was used to display objects from scanned markers; in the following article, the study utilizes augmented reality for the introduction of aquatic animals with the marker-based tracking method, the results of the marker distance test with the camera needed to read markers are between 8 -77 cm [17].…”

Section: Related Workmentioning

confidence: 99%

The Design Of Augmented Reality Media Koi Fish Literacy Using Fast Corner Algorithm

Rahman

2021

ijicom

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Ornamental fish that are quite famous and in demand in the market is the koi fish. This fish has a relatively high economic value, and its demand is increasing. There are still many difficulties in maintaining this fish so that it can cause the growth of disease and even death in the fish. It is due to the lack of public attention in terms of literacy about koi fish. Researchers used augmented reality technology to design koi fish literacy media based on these problems using the FAST Corner algorithm. So it is hoped that it could help improve public literacy about koi fish by introducing real-time information. The Fast Corner detection algorithm is helpful to accelerate the computational time when detecting corners in real-time with the markerless Augmented Reality technique. In this technique, the marker used for object tracking has been replaced with pattern recognition or pattern recognition of an object. The study results showed that experiments using this algorithm could track targets with good and faster performance and a maximum level of accuracy.

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Implementation of Augmented Reality of Android Based Animal Recognition using Marker Based Tracking Methods

Cited by 12 publications

References 0 publications

Convolutional Neural Network as an Image Processing Technique for Classification of Bacilli Tuberculosis Extra Pulmonary (TBEP) Disease

Convolutional Neural Network as an Image Processing Technique for Classification of Bacilli Tuberculosis Extra Pulmonary (TBEP) Disease

The Science Teachers’ Optimism Response to the Use of Marker-Based Augmented Reality in the Global Warming Issue

The Design Of Augmented Reality Media Koi Fish Literacy Using Fast Corner Algorithm

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