Smart Intelligent Eye Security Camara System

• Object detection security camera system for home, an intelligent system for capturing, identifying, warning and controlling unauthorized threaten objects or access to the premises.

Prerequisites

• Windows 10
• Angular CLI 6.0.8
• Python 3.6
• TensorFlow.js
• Node 10.15.1 or higher version
• npm 6.4.1 or higher version
• Firebase account
• NodeMCU ESP8266 board
• LED or Buzzer
• Web camera

Deployement

First ensure that python 3.6 , Nodejs and Angular CLI 6.0.8 install on your computer.Create Empty firebase project and configure below things.

1. Firebase Authentication - Enable Email/Password Sign-in method.
2. Firebase Database
   1. Cloud Firestore - Update rules like below.

          service cloud.firestore {
          match /databases/{database}/documents {
       
          match /users/{userId} {
               allow write, read //: if isOwner(userId);
          }
           match /images/{imageId} {
              allow write, read 
          }
           match /metadata/{imageId} {
               allow write, read 
           }
           match /videoUrl/{imageId} {
               allow write, read 
           }
          
           function isOwner(userId) {
               return request.auth.uid == userId
           }
         }
       }

   2. Realtime Database - Update rules like below.

       {
         "rules": {
           ".read": true,
           ".write": true
         }
       }

3. Firebase Storage - Update rules like below.

     service firebase.storage {
        match /b/{bucket}/o {
         match /{allPaths=**} {
             allow read, write//: if request.auth != null;
           }
        }
     }

4. Firebase SDK snippet - Copy that file from your firebase project.

   var firebaseConfig = {
      apiKey: "XXXXXXXXXXXXXXXXXXXXX",
      authDomain: "XXXXXX.firebaseapp.com",
      databaseURL: "https://XXXXXXX.firebaseio.com",
      projectId: "XXXXX-7b",
      storageBucket: "XXXXXX-7b.appspot.com",
      messagingSenderId: "YYYYYYYY",
      appId: "XXXXXXXXXXXXXXXX"
    };

Then paste it to below mentioned locations

* Create environment.ts file on this  "Smart Eye Main Module/src/environments/environment.ts" path and paste on it.
* Navigate this "Smart Eye Main Module/modules/Object detection module/templates/index.html" path and paste it inside index.html file.

Configure Alarm

To configure alarm genaration we need NodeMCU ESP8266 board and LED/Buzzer.Inside " module/IOT- alarm generation module/fire_test " folder i put fire_test.ino file .It needs to be upload NodeMCU board and configure COMPort( NodeMCU board will provide relevent software for configure COMPort ) .After all things are done Connect LED/Buzzer through GND and D3 pins ( D3 is my pc COMPort pin)

Start Application

Finally we can go for the deployment.Open Command prompt in windows and navigate the repo and run deploymentScript.bat file.

All modules are now up and running.Please visit your pc http://localhost:4200.

Important - if sweetalert2 gives error please visit follow link to find my solution : sweetalert2/sweetalert2#1773

Tharindu Lakshan Yasarathna - SE/2014/056 - University of Kelaniya - Bsc in Software Engineering(Hon's)