IOT PROJECT - GODS EYE

Doorstep monitoring system built using Raspberry Pi, Python and OpenCV.

Requirements

• Python 3.8
• opencv-python
• opencv-contrib-python

Training the model

    $ python3 face_training.py

Run - recognizes face and updates the database

    $ python3 face_recog.py

IOT PROJECT API

This is a REST API built for IOT project using Golang, Gin and Gorm.

Requirements

• Golang
• Go Gin
• Gorm

Environment variables

• HOST : Hostname
• DBPORT : PostgreSQl Server Port
• DBUSER : Database User Name
• DBNAME : Database Name
• DBPASSWORD : Database Password
• EMAIL_ADDR : From Email
• EMAIL_PSWD : From Email Password
• EMAIL_HOST : SMTP Host
• EMAIL_PORT : SMTP Port

Install

    $ go build

Run the app

    $ go run cmd/main.go

REST API

The REST API Methods to the above app is described below.

Node Log

GET /v0/nodelog/:date

    curl -i -H 'Content-Type: application/json' http://localhost:8080/v0/nodelog/2000-06-28

POST /v0/nodelog/

    curl -i -H 'Content-Type: application/json' -d '{"relname": " " , "ipaddr": " ", "datetime": " "}' http://localhost:8080/v0/nodelog/

User Log

GET /v0/userrel/:rel

    curl -i -H 'Content-Type: application/json' http://localhost:8080/v0/nodelog/name

POST /v0/userrel/

    curl -i -H 'Content-Type: application/json' -d '{"name": " ", "rel": " ", "email": " "}' http://localhost:8080/v0/userrel

PUT /v0/userrel/:name

   curl -i -H 'Content-Type: application/json' -d '{"name": " ", "rel": " ", "email": " "}' http://localhost:8080/v0/name

POST /v0/userrel/:name

    curl -i -H 'Content-Type: application/json' http://localhost:8080/v0/name

Server Log

GET /v0/getlog

    curl http://localhost:8080/v0/getlog

Contributions

Feel free to contribute. You know the drill fork and request a PR ;)