scholarly journals Tanslator Real-Time Bahasa Indonesia - Tombulu dan Tombulu - Indonesia menggunakan Augmented Reality

2016 ◽  
Vol 2 (2) ◽  
pp. 194
Author(s):  
Andria Wahyudi ◽  
Andre Sumual ◽  
Jorgie Sumual
Keyword(s):  
Augmented Reality ◽  
Real Time ◽  
Character Recognition ◽  
Optical Character Recognition ◽  
Optical Character ◽  
Bahasa Indonesia

Penelitian ini membahas tentang gabungan beberapa teknologi untuk perancangan aplikasi translasi bahasa menggunakan teknologi Augmented Reality (AR) pada smartphone dengan sistem operasi Android. Tujuan utama dari penelitian ini adalah penerapan AR pada media translasi bahasa Tombulu dan Indonesia menggunakan SDK Vuforia. Vuforia digunakan untuk menampilkan teks secara real-time, dimana teknologi Optical Character Recognition (OCR) sudah menjadi fitur didalamnya yang digunakan  untuk melakukan pendeteksian teks. Setelah aplikasi selesai dibuat, dilakukan pengujian kemampuan deteksi dari aplikasi. Pengujian tersebut dimulai dari deteksi tulisan tangan, teks berwarna, typeface yang berbeda, typeface yang mengandung symbol, dan kata yang mengandung spasi. Adapun pengujian dengan cara manual, yaitu dengan mengetikan sendiri teks ke smartphone. Hasil yang di dapatkan adalah batas kemampuan maksimum dalam melakukan pendeteksian teks sesuai pengujian yang telah ditentukan sebelumya.Kata Kunci: Augmented Reality, Translation, Vuforia SDK, OCR

scholarly journals Computer Vision for Continuous Bedside Pharmacological Data Extraction: A Novel Application of Artificial Intelligence for Clinical Data Recording and Biomedical Research

2021 ◽  
Vol 4 ◽  
Author(s):  
Logan Froese ◽  
Joshua Dian ◽  
Carleen Batson ◽  
Alwyn Gomez ◽  
Amanjyot Singh Sainbhi ◽  
...  
Keyword(s):  
Computer Vision ◽  
Data Integration ◽  
Real Time ◽  
Clinical Data ◽  
Biomedical Research ◽  
Character Recognition ◽  
Optical Character Recognition ◽  
Time Data ◽  
Optical Character ◽  
Real Time Data

Introduction: As real time data processing is integrated with medical care for traumatic brain injury (TBI) patients, there is a requirement for devices to have digital output. However, there are still many devices that fail to have the required hardware to export real time data into an acceptable digital format or in a continuously updating manner. This is particularly the case for many intravenous pumps and older technological systems. Such accurate and digital real time data integration within TBI care and other fields is critical as we move towards digitizing healthcare information and integrating clinical data streams to improve bedside care. We propose to address this gap in technology by building a system that employs Optical Character Recognition through computer vision, using real time images from a pump monitor to extract the desired real time information.Methods: Using freely available software and readily available technology, we built a script that extracts real time images from a medication pump and then processes them using Optical Character Recognition to create digital text from the image. This text was then transferred to an ICM + real-time monitoring software in parallel with other retrieved physiological data.Results: The prototype that was built works effectively for our device, with source code openly available to interested end-users. However, future work is required for a more universal application of such a system.Conclusion: Advances here can improve medical information collection in the clinical environment, eliminating human error with bedside charting, and aid in data integration for biomedical research where many complex data sets can be seamlessly integrated digitally. Our design demonstrates a simple adaptation of current technology to help with this integration.

scholarly journals A Real-Time Automatic Plate Recognition System Based on Optical Character Recognition and Wireless Sensor Networks for ITS

Sensors ◽  
2019 ◽  
Vol 20 (1) ◽  
pp. 55
Author(s):  
Nicole do Vale Dalarmelina ◽  
Marcio Andrey Teixeira ◽  
Rodolfo I. Meneguette
Keyword(s):  
Real Time ◽  
Intelligent Transportation Systems ◽  
Character Recognition ◽  
Optical Character Recognition ◽  
Recognition System ◽  
Transportation Systems ◽  
Identification System ◽  
License Plate ◽  
Optical Character ◽  
Smart Parking

Automatic License Plate Recognition has been a recurrent research topic due to the increasing number of cameras available in cities, where most of them, if not all, are connected to the Internet. The video traffic generated by the cameras can be analyzed to provide useful insights for the transportation segment. This paper presents the development of an intelligent vehicle identification system based on optical character recognition (OCR) method to be used on intelligent transportation systems. The proposed system makes use of an intelligent parking system named Smart Parking Service (SPANS), which is used to manage public or private spaces. Using computer vision techniques, the SPANS system is used to detect if the parking slots are available or not. The proposed system makes use of SPANS framework to capture images of the parking spaces and identifies the license plate number of the vehicles that are moving around the parking as well as parked in the parking slots. The recognition of the license plate is made in real-time, and the performance of the proposed system is evaluated in real-time.

scholarly journals Evaluation of User Experience in Translator Applications (Banjar-Indonesian and Indonesian-Banjar) Based on Mobile Augmented Reality Technology using the UX Honeycomb Method

2021 ◽  
Vol 6 (1) ◽  
pp. 7-13
Author(s):  
Aulia Akhrian Syahidi ◽  
Herman Tolle
Keyword(s):  
Augmented Reality ◽  
User Experience ◽  
Character Recognition ◽  
Optical Character Recognition ◽  
Mobile Augmented Reality ◽  
Average Value ◽  
Optical Character ◽  
Augmented Reality Technology ◽  
Strongly Agree ◽  
The City

The translator application from Banjar Language to Indonesian is called BandoAR and vice versa from Indonesian to Banjar Language which is called NdoBAR. Both applications utilize Mobile Augmented Reality technology with the Optical Character Recognition (OCR) Method for word recognition in the detected image. This application is recommended and used to help tourists visiting the city of Banjarmasin to be able to understand the language used by local people as a means of communication and for the general public who want to know the peculiarities of the Banjar language itself. The purpose of this study was to evaluate the user experience of the BandoAR and NdoBAR applications. The method used is UX Honeycomb, which has seven aspects to assess the user experience of an application. A total of 50 respondents were presented to assess the two applications. The results showed that the BandoAR application had an average UX Honeycomb value of 4.91 with a Very Strongly Agree predicate and for the NdoBAR application, an average value of UX Honeycomb was 4.89 with a Very Strongly Agree predicate. Both applications have fulfilled aspects of the user experience. However, we need some fixes for the shortcomings of both apps, to continue to improve interactions, better user experience, and other smart capabilities.

scholarly journals Aplikasi Identifikasi Kata Berbasis Optical Character Recognition dan Augmented Reality

2019 ◽  
Vol 8 (2) ◽  
pp. 77-85
Author(s):  
Devy Normalasari ◽  
Irawan Afrianto
Keyword(s):  
Augmented Reality ◽  
Character Recognition ◽  
Optical Character Recognition ◽  
Optical Character

Teks tertulis merupakan salah satu metode yang umum untuk menyampaikan informasi. Namun, ketika berwisata ke luar negeri informasi tersebut ditemui dalam bahasa asing. Bagi beberapa individu perbedaan bahasa membuat informasi tersebut tidak dapat tersampaikan dengan baik. Penggunaan kamus digital menjadi pilihan wisatawan untuk menerjemahkan bahasa dengan pencarian kata yang cepat dan mudah. Namun kamus digital masih memiliki kekurangan, yaitu wisatawan harus mengetikan teks yang ingin diterjemahkan, maka dibutuhkan sebuah aplikasi alternatif yang dapat mendeteksi karakter teks dan menerjemahkannya langsung. Salah satu teknologi yang dapat dimanfaatkan adalah teknologi Augmented Reality dengan dukungan perangkat mobile bersistem operasi Android. Teknologi Optical Character Recognition juga akan diterapkan untuk pengenalan kata pada citra yang dideteksi. Pada sistem yang akan dibangun, Augmented Reality akan memanfaatkan kamera yang ada pada perangkat Android untuk mendeteksi teks tanpa harus menyimpan gambar terlebih dahulu. Kemudian objek atau target teks yang terdeteksi akan dikonversi kedalam teks yang dapat diedit oleh Optical Character Recognition sehingga teks tersebut dapat diterjemahkan. Penerjemahan dilakukan secara offline maupun online dengan Bing Miscrosoft Translator. Hasil terjemahan teks tersebut kemudian akan ditampilkan dengan Augmented Reality pada layar perangkat Android. Terjemahan kata akan tampil di luar wilayah pendeteksian atau ROI secara berurut untuk setiap kata dari atas ke bawah. Implementasi AR dengan OCR pada aplikasi Word Translatar diharapkan dapat membantu wisatawan dalam menerjemahkan kata-kata berbahasa asing secara realtime dan akurat tanpa harus mengetik. Kata kunci : Augmented Reality, Optical Character Recognition, Pengenalan Kata, Penerjemah, Vuforia

Finger Spelling in Air System for Deaf and Dumb

2018 ◽  
Vol 9 (1) ◽  
pp. 28-44
Author(s):  
Urmila Shrawankar ◽  
Shruti Gedam
Keyword(s):  
Real Time ◽  
Character Recognition ◽  
Optical Character Recognition ◽  
Human Interaction ◽  
Finger Movements ◽  
Accuracy Rate ◽  
Optical Character ◽  
Average Accuracy ◽  
Bright Color ◽  
Natural Way

Finger spelling in air helps user to operate a computer in order to make human interaction easier and faster than keyboard and touch screen. This article presents a real-time video based system which recognizes the English alphabets and words written in air using finger movements only. Optical Character Recognition (OCR) is used for recognition which is trained using more than 500 various shapes and styles of all alphabets. This system works with different light situations and adapts automatically to various changing conditions; and gives a natural way of communicating where no extra hardware is used other than system camera and a bright color tape. Also, this system does not restrict writing speed and color of tape. Overall, this system achieves an average accuracy rate of character recognition for all alphabets of 94.074%. It is concluded that this system is very useful for communication with deaf and dumb people.

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