Feature  Recognition  Berbasis Corner Detection Dengan Metode Fast, Surf Dan Flann Tree Untuk Identifikasi Logo  Pada Augmented Reality Mobile System

Prathivi, Rastri

doi:10.26623/transformatika.v11i2.96

Cited by 2 publications

(2 citation statements)

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“…This study examines the suitability of displaying asset objects on a smartphone screen by highlighting the target object on the camera. 4,8,9,14,19,20 The test method also refers to distances of 10, 15, 20, 25 and 30 cm. Only by highlighting the inventory label, the assets can be viewed through a smartphone screen.…”

Section: Compile the Final Reportmentioning

confidence: 99%

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Augmented reality as the medical electronic equipment inventory identifier

Hermawan¹,

Wadianto²,

Susana³

et al. 2019

Int J Sci Rep

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The development of digital technology has penetrated in various aspects. One form of the development of digital technology is the creation of augmented reality (AR). [4][5][6][7] AR technology is a technology that combines the description of virtual objects (3 dimensions) with a real environment. 3-dimensional (3D) objects that can be displayed in the form of animation or indeed real objects which is designed to be a 3D object. Real objects that are designed to be 3D objects require supporting software, in this case, you can use Blender. The 3D form that has been formed is arranged and combined with the real ABSTRACT Background: Inventory systems are very numerous and require a long time when rechecking. In doing a shortcut time for checking, it can be done the application of augmented reality. Methods: This research can be applied to all types and brands of smartphones. The testing was carried out using three different types and brands of smartphones in three conditions: dark rooms, bright room and open spaces for three times for each smartphone. It examines the suitability of displaying asset objects such as Infusion Device Analyzer (IDA-1), Electrical Safety Analyzer (ISA) and Piranha radiology high voltage tester with target objects using existing inventory labels also Barbarian with the target a book cover with the distance 10, 15, 20, 25 and 30 cm. Results: By using three different types and brands of smartphones: A, B and C, the incompatibility result percentage of the asset object with the target object is obtained. The average of incompatibility result of Smartphone A, B, and C for the ISA asset object is 83%. The average of incompatibility result of Smartphone A, B, and C for the IDA asset object is 71%, The average of incompatibility result of Smartphone A, B, and C for the Piranha asset object is 36%, For the whole result for Barbarian object asset is 100%. Conclusions: Making augmented reality has been successfully carried out with 3D models but there is a discrepancy between the appearance of asset objects with the target object except for the book cover and barbarian.Cite this article as: Chauhan RC, Manikandan, Purty AJ, Samuel A, Singh Z. Determinants of health care seeking behavior among rural population of a coastal area in South India. Int J Sci Rep 2019;5(11):332-7.

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Section: Compile the Final Reportmentioning

confidence: 99%

“…On the inventory label listed, it is necessary to first recognize the label. 14 An inventory label that has been identified as the target object, if a highlight is shown, a 3D object will appear on behalf of the label.…”

Section: Introductionmentioning

confidence: 99%