projector

Face detect and IOT data display, use for face recognized and return their info to display.

The brief introduction of optional stroke

TechStack

• antdesign pro
• face api
• g2 for plot
• emitter for pubsub
• aliyun face node sdk
• eggjs for backserver
• mysql for user info
• go fileserver for file host
• sequelize with eggjs for mysql data model

Face Usage

• use own aliyun face api apikey

• run emitter and mysql in face/mysql&emitter

• run face api model file host in weights

cd weights && go run file.go

• run frontend

cd  face/frontend 
npm install
npm start

• run backend mysql database with egg js

create two database with egg-sequelize-doc-default egg-sequelize-doc-unittest feel free to find related file in face/sequelize/database and face/sequelize/app/model and change it when you need update user info model in mysql use npm install --save-dev sequelize-cli to install sequelize

# 升级数据库
npx sequelize db:migrate
# 如果有问题需要回滚，可以通过 `db:migrate:undo` 回退一个变更
# npx sequelize db:migrate:undo
# 可以通过 `db:migrate:undo:all` 回退到初始状态
# npx sequelize db:migrate:undo:all

---

cd face/sequelize 
npm install
npm run dev

• run fileserver to have image display.

cd face/fileserver
go run fileserver.go

Config with face detect

at top of face/sequelize/app/controller/image.js

Image API

User API

User use resultful api.

Dashboard Usage

• run frontend

cd  dashboard/frontend 
npm install
npm start

• change the data

http://localhost:8000/submit

• display the data

http://localhost:8000/dashboardmonitor

# we can run this project in localhost

TechStack

• UmiJS for umi create
• npm / yarn for bag control
• emitter for date transmission
• Localstorage
• Ant Design Pro for page design
• GitHub for components