SBC-Based Object and Text Recognition Wearable System using Convolutional Neural Network with Deep Learning Algorithm
| Autor: | Christian L. Falla, Juan Carlo F. Greganda, Steven Valentino E. Arellano, Melchiezhedhieck J. Bongao, Phillip Amir M. Esguerra, Arvin F. Almadin |
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| Přispěvatelé: | Blue Eyes Intelligence Engineering and Sciences Publication(BEIESP) |
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Computer science
business.industry Visually impaired Deep learning 2277-3878 General Engineering Wearable computer Text recognition 100.1/ijrte.C64740910321 Object (computer science) Convolutional neural network Visually Impaired Real-time Object and Text Recognition Convolutional Neural Network Deep Learning Management of Technology and Innovation Computer vision System U Artificial intelligence business |
| Popis: | This Raspberry Single-Board Computer-Based Object and Text Real-time Recognition Wearable Device using Convolutional Neural Network through TensorFlow Deep Learning, Python and C++ programming languages, and SQLite database application, which detect stationary objects, road signs and Philippine (PHP) money bills, and recognized texts through camera and translate it to audible outputs such as English and Filipino languages. Moreover, the system has a battery notification status using an Arduino microcontroller unit. It also has a switch for object detection mode, text recognition mode, and battery status report mode. This could fulfill the incapability of visually impaired in identifying of objects and the lack of reading ability as well as reducing the assistance that visually impaired needs. Descriptive quantitative research, Waterfall System Development Life Cycle and Evolutionary Prototyping Models were used as the methodologies of this study. Visually impaired persons and the Persons with Disability Affairs Office of the City Government of Biñan, Laguna, Philippines served as the main respondents of the survey conducted. Obtained results stipulated that the object detection, text recognition, and its attributes were accurate and reliable, which gives a significant distinction from the current system to detect objects and recognize printed texts for the visually impaired people. |
| Databáze: | OpenAIRE |
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