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With an increase in the need for various scanning and detecting functionality in android applications, the text recognition, QR code/barcode authentication, and object detection fields have become one of the most researched areas. In our proposed model, we tried to find a better way to provide all the three most demanding and useful functionalities in a single Android application. In our proposed model, for our first functionality, that is object detection, a Deep Convolutional Neural Network model is used to identify and detect real-time objects using Tensor Flow and perform both training and test phases. Text Scanning, our second functionality, is Optical Character Recognition (OCR), a mechanical or electronic interpretation of manually written pictures or typewritten content into machine-editable content. This functionality was implemented in our app using the Google Cloud Mobile Vision API. For our third functionality, QR code or barcode authentication, we used the Zxing and Karumi Dexter Libraries.
Keywords:
Text Recognition, Object Detection, QR code and Barcode Authentication, Google Mobile Vision API, Zxing and Dexter Library, Convolutional Neural Network.
Cite Article:
"Multi Scanner Android Application using Machine Learning", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.7, Issue 5, page no.451 - 457, May-2022, Available :http://www.ijrti.org/papers/IJRTI2205077.pdf
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ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator