Make README.md

+[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
+# Topic
+**얼굴 인식 전자 출결 시스템(캡스톤1에서 발전시킬 예정)**    
+
+# Team
+- 정해갑(컴퓨터공학과, 2014104149)
+
+# Hardware
+- server: IBM Cloud(2 vCPU | 4 GB | Ubuntu 18.04.4 LTS)    
+- client: (i7-7700HQ | 16 GB | Windows)    
+    
+# License
+- pytorch(https://github.com/pytorch/pytorch)
+- facenet(https://github.com/davidsandberg/facenet)
+- facenet-pytorch(https://github.com/timesler/facenet-pytorch)
+- VGGFace2(http://www.robots.ox.ac.uk/~vgg/data/vgg_face2)
+- NodeJS(https://nodejs.org)
+- OpenCV(https://opencv.org)
+- MySQL(https://www.mysql.com)
+- PyMySQL(https://github.com/PyMySQL/PyMySQL)
+
+# Usage    
+## Server    
+### Configuration    
+- uri configuration is required in server/server.py    
+- database setting: create database and table with DB/SQL    
+
+### Required    
+- required hardware: upper 2GB memory, upper 3.5GHz CPU or CUDA GPU (for realtime system)
+- required software: Python(>3.6.5), MySQL    
+- required python module: pytorch, asyncio, websockets, pymysql    
+
+### Start
+- python3 server/server.py & npm start --prefix webserver/myapp &    
+    
+## Client    
+### Configuration    
+- uri configuration is required in client/client.py, register/register.py    
+
+### Required    
+- required hardware: webcam, upper 200MB memory (when processing resolution is 640x480), 3.0GHz CPU or CUDA GPU (for realtime system)
+- required software: Python
+- required python module: pytorch, opencv-python, asyncio, websockets    
+
+### Start
+- execute register/register.py    
+- execute client/client.py    
+
+# Demo    
+## Register    
+![register](https://drive.google.com/u/0/uc?id=1W0Gga_3kOrK_t2C4bkYqFfz2GPYH7pvK&export=download)
+## Attendance Checking
+![AttendanceChecking](https://drive.google.com/u/0/uc?id=1w792KtUdWi0q11sRTjY4Xl_c97hjonN8&export=download)
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