LUMOZ – A Real Time Augmented Reality Based Tool for Media Production

Author(s):  
M. P. W. P. A Wanigasekara ◽  
A. Vihanga Nivarthana ◽  
R. M. B awantha Thilan ◽  
G. M. J. U Gankanda ◽  
Thusithanjana Thilakarthna ◽  
...  
2015 ◽  
Vol 6 (2) ◽  
Author(s):  
Rujianto Eko Saputro ◽  
Dhanar Intan Surya Saputra
Keyword(s):  

Media pembelajaran ternyata selalu mengikuti perkembangan teknologi yangada, mulai dari teknologi cetak, audio visual, komputer sampai teknologi gabunganantara teknologi cetak dengan komputer. Saat ini media pembelajaran hasil gabunganteknologi cetak dan komputer dapat diwujudkan dengan media teknologi AugmentedReality (AR). Augmented Reality (AR) adalah teknologi yang digunakan untukmerealisasikan dunia virtual ke dalam dunia nyata secara real-time. Organ pencernaanmanusia terdiri atas Mulut, Kerongkongan atau esofagus, Lambung, Usus halus, danUsus besar. Media pembelajaran mengenal organ pencernaan manusia pada saat inisangat monoton, yaitu melalui gambar, buku atau bahkan alat proyeksi lainnya.Menggunakan Augmented Reality yang mampu merealisasikan dunia virtual ke dunianyata, dapat mengubah objek-objek tersebut menjadi objek 3D, sehingga metodepembelajaran tidaklah monoton dan anak-anak jadi terpacu untuk mengetahuinya lebihlanjut, seperti mengetahui nama organ dan keterangan dari masing-masing organtersebut.


2018 ◽  
Author(s):  
Kyle Plunkett

This manuscript provides two demonstrations of how Augmented Reality (AR), which is the projection of virtual information onto a real-world object, can be applied in the classroom and in the laboratory. Using only a smart phone and the free HP Reveal app, content rich AR notecards were prepared. The physical notecards are based on Organic Chemistry I reactions and show only a reagent and substrate. Upon interacting with the HP Reveal app, an AR video projection shows the product of the reaction as well as a real-time, hand-drawn curved-arrow mechanism of how the product is formed. Thirty AR notecards based on common Organic Chemistry I reactions and mechanisms are provided in the Supporting Information and are available for widespread use. In addition, the HP Reveal app was used to create AR video projections onto laboratory instrumentation so that a virtual expert can guide the user during the equipment setup and operation.


2021 ◽  
Vol 11 (11) ◽  
pp. 4758
Author(s):  
Ana Malta ◽  
Mateus Mendes ◽  
Torres Farinha

Maintenance professionals and other technical staff regularly need to learn to identify new parts in car engines and other equipment. The present work proposes a model of a task assistant based on a deep learning neural network. A YOLOv5 network is used for recognizing some of the constituent parts of an automobile. A dataset of car engine images was created and eight car parts were marked in the images. Then, the neural network was trained to detect each part. The results show that YOLOv5s is able to successfully detect the parts in real time video streams, with high accuracy, thus being useful as an aid to train professionals learning to deal with new equipment using augmented reality. The architecture of an object recognition system using augmented reality glasses is also designed.


2017 ◽  
Author(s):  
Peter Wozniak ◽  
Nicolas Javahiraly ◽  
Dan Curticapean

Urology ◽  
2009 ◽  
Vol 73 (4) ◽  
pp. 896-900 ◽  
Author(s):  
Li-Ming Su ◽  
Balazs P. Vagvolgyi ◽  
Rahul Agarwal ◽  
Carol E. Reiley ◽  
Russell H. Taylor ◽  
...  

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