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Real time character and speech commands recognition system

첫 페이지 보기
  • 발행기관
    국제인공지능학회(구 한국인터넷방송통신학회) 바로가기
  • 간행물
    International Journal of Internet, Broadcasting and Communication 바로가기
  • 통권
    Vol.16 No.4 (2024.12)바로가기
  • 페이지
    pp.62-72
  • 저자
    Dong-jin Kwon, Sang-hoon Lee
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A459057

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원문정보

초록

영어
With the advancement of modern AI technology, the field of computer vision has made significant progress. This study introduces a parking management system that leverages Optical Character Recognition (OCR) and speech recognition technologies. When a vehicle enters the parking lot, the system recognizes the vehicle’ s license plate using OCR, while the administrator can issue simple voice commands to control the gate. OCR is a technology that digitizes characters by recognizing handwritten or image-based text through image scanning, enabling computers to process the text. The voice commands issued by the user are recognized using a machine learning model that analyzes spectrograms of voice signals. This allows the system to manage vehicle entry and exit records via voice commands, and automatically calculate paid services such as parking fees based on license plate recognition. The system identifies the text areas from images using a bounding box, converting them into digital characters to distinguish license plates. Additionally, the microphone collects the user's voice data, converting it into a spectrogram, which is used as input for a machine learning model to process 2D voice signal data. Based on the model’ s inference, the system controls the gate, either opening or closing it, while recording the time in real-time. This study introduces a parking management system that integrates OCR and a speech command recognition model. By training the model with multiple users' data, we aim to enhance its accuracy and offer a practical solution for parking management.

목차

Abstract
1. INTRODUCTION
2. BACKGROUND KNOWLEDGE
2.1 QT framework
2.2 OCR
2.3 Speech recognition
3. SYSTEM SUGGESTION
3.1 Setup Environment
3.2 OCR Process
3.3 Speech command
4. RESULT
5. CONCLUSION
Acknowledgement
References

키워드

Computer Vision Character Recognition Speech Recognition Machine Learning system

저자

  • Dong-jin Kwon [ Associate Professor, Department of Computer Electronics Engineering, Seoil University, Korea ]
  • Sang-hoon Lee [ Master, Korea Institute of Science and Technology, Korea ] Corresponding Author

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    국제인공지능학회(구 한국인터넷방송통신학회) [The International Association for Artificial Intelligence]
  • 설립연도
    2000
  • 분야
    공학>전자/정보통신공학
  • 소개
    인터넷방송, 인터넷 TV , 방송 통신 네트워크 및 관련 분야에 대한 국내는 물론 국제적인 학술, 기술의 진흥발전에 공헌하고 지식 정보화 사회에 기여하고자 한다.

간행물

  • 간행물명
    International Journal of Internet, Broadcasting and Communication
  • 간기
    계간
  • pISSN
    2288-4920
  • eISSN
    2288-4939
  • 수록기간
    2009~2025
  • 십진분류
    KDC 326 DDC 380

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