Smart Security Systems

By Ganesh Sankaran

Tested on macOS Mojave and Ubuntu 18.04 LTS

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The Challenge

Your business stores an extraordinary amount of raw security footage which must be searched and analyzed manually. This not only results in a loss in your productivity, but also poses a threat to your business' security.

The Solution

Smart Security Systems generates metadata from several security footage streams by passing it through an extremely efficient computer vision algorithm. The metadata is much easier to store, search, and analyze compared to raw video.

Storage

Smart Security Systems automatically generates and stores feature-rich metadata from your videos. The memory-efficient nature of metadata means that your data can be stored securely for a long period of time.

Search

Smart Security Systems allows you to choose from a variety of filters and tags to find the exact moment you are looking for. Searches are faster and more flexible thanks to the capabilities of Elasticsearch.

Analysis

Smart Security Systems employs an extremely quick, accurate, and customizable computer vision algorithm that can notify you of incidents. By harnessing the power of AI, our algorithm surpasses humans in sight and memory.

Deploying the Django Web Application (macOS)

1. Obtaining the Source Code

a. Clone the repository

cd ~

~ will be the parent directory for the repository

git clone https://github.com/ganeshsankaran/smart-security-systems.git

b. Obtain the pre-trained YOLOv3 model

cd ~/smart-security-systems/SmartSecuritySystems/sss_v1/yolov3-coco/

wget --no-check-certificate https://pjreddie.com/media/files/yolov3.weights

2. Setting Up the PostgreSQL Server

a. Install the necessary packages

Download and install PostgreSQL at https://www.enterprisedb.com/downloads/postgres-postgresql-downloads Then install the command line utilities for PostgreSQL

brew install postgresql

b. Create the database

sudo su - postgres

createdb sss

exit

3. Setting up the Python Environment

a. Install the necessary packages

sudo pip3 install -r ~/smart-security-systems/SmartSecuritySystems/requirements.txt

b. Configure matplotlib

sudo mkdir ~/.matplotlib/

sudo vim matplotlibrc

Write backend: TkAgg to the file and save changes

4. Deploying the Django Web Application

a. Configure the database

sudo python3 ~/smart-security-systems/SmartSecuritySystems/manage.py makemigrations

sudo python3 ~/smart-security-systems/SmartSecuritySystems/manage.py migrate

b. Start the server

sudo python3 ~/smart-security-systems/SmartSecuritySystems/manage.py runserver 0.0.0.0:80

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Deploying the Django Web Application (Ubuntu)

1. Obtaining the Source Code

a. Clone the repository

cd ~

~ will be the parent directory for the repository

git clone https://github.com/ganeshsankaran/smart-security-systems.git

b. Obtain the pre-trained YOLOv3 model

cd ~/smart-security-systems/SmartSecuritySystems/sss_v1/yolov3-coco/

wget --no-check-certificate https://pjreddie.com/media/files/yolov3.weights

2. Setting Up the PostgreSQL Server

a. Install the necessary packages

sudo apt install postgresql postgresql-contrib postgresql-server-dev-all

b. Configure the postgres account

sudo su - postgres

psql

Set the password to password

\password

\q

c. Create the database

createdb sss

exit

3. Setting up the Python Environment

a. Install the necessary packages

sudo pip3 install -r ~/smart-security-systems/SmartSecuritySystems/requirements.txt

4. Deploying the Django Web Application

a. Configure the database

sudo python3 ~/smart-security-systems/SmartSecuritySystems/manage.py makemigrations

sudo python3 ~/smart-security-systems/SmartSecuritySystems/manage.py migrate

b. Start the server

sudo python3 ~/smart-security-systems/SmartSecuritySystems/manage.py runserver 0.0.0.0:80