• Title/Summary/Keyword: Flask Web Server

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OneNet Cloud Computing Based Real-time Home Security System (OneNet 클라우드 컴퓨팅 기반 실시간 홈 보안 시스템)

  • Kim, Kang-Chul;Zhao, Yongjiang
    • The Journal of the Korea institute of electronic communication sciences
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    • v.16 no.1
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    • pp.101-108
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    • 2021
  • This paper builds a real-time home security system based on the OneNet cloud platform to control the status of the house through a smartphone. The system consists of a local part and a cloud part. The local part has I/O devices, router and Raspberry Pi (RPi) that collects and monitors sensor data and sends the data to the cloud, and the Flask web server is implemented on a Rasberry Pi. When a user is at home, the user can access the Flask web server to obtain the data directly. The cloud part is OneNet in China Mobile, which provides remote access service. The hybrid App is designed to provide the interaction between users and the home security system in the smartphone, and the EDP and RTSP protocol is implemented to transmit data and video stream. Experimental results show that users can receive sensor data and warning text message through the smartphone and monitor, and control home status through OneNet cloud.

Web Application Implementation Using Flask Model Serving : Urinary Stone Artificial Intelligence Application (Flask 의 모델 서빙을 이용한 웹 어플리케이션 구현 : Urinary Stone 인공지능 응용)

  • Lee, Chung-Sub;Lim, Dong-Wook;No, Si-Hyeong;Kim, Ji-Eon;Yu, Yeong-Ju;Kim, Tae-Hoon;Park, Sung Bin;Yoon, Kwon-Ha;Jeong, Chang-Won
    • Proceedings of the Korea Information Processing Society Conference
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    • 2021.05a
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    • pp.454-456
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    • 2021
  • 본 논문은 웹의 발달로 인하여 의료 서비스들이 기존의 Client-Server 방식의 제품에서 Web 방식의 제품으로 변경되고 있는 현대 흐름에서 인공지능 어플리케이션 또한 Web 으로 서비스 하기 위한 방법과 구현된 요로결석 AI 어플리케이션에 대해 기술한다. 이를 구현하기 위해 Python 기반의 Flask 라는 마이크로 웹 프레임워크를 사용하여 DICOM 핸들링, Pre-Processing, Mask 를 생성하고 Predict 결과를 Model Serving 을 통하여 Urinary Stone Segmentation Model 이 서비스되는 인공지능 웹 어플리케이션 동작 방식과 수행 결과를 보인다.

A Real-time Electronic Attendance-absence Recording System using Face Detection and Face Recognition (얼굴 검출 및 인식 기술을 이용한 실시간 전자 출결 시스템)

  • Jeong, Pil-seong;Cho, Yang-hyun
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.20 no.8
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    • pp.1524-1530
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    • 2016
  • Recently, research about an electronic attendance-absence recording system has been actively carried out using smart devices. Using an electronic attendance-absence recording system, professors can check their students' attendance on a real-time basis and manage their attendance records. In this paper, we proposed a real-time electronic attendance-absence recording system using face detection and face recognition based on web application. It can solve the spatial, temporal, cost issues belong to electronic attendance-absence recording system using AIDC(Automatic Identification and Data Capture). A proposed system is running on web server and made by HTML5(Hyper Text Markup Language ver.5). So professor connect to server using mobile web browser on mobile device and real-time manage electronic attendance-absence recording with real-time send or receive image data. In addition, the proposed system has an advantage capable of installation and operation, regardless of the operating system because it operates based on the Python flask framework.