Security Master

Security software for rural, residential or business properties, which was developed as a partial fulfillment of the requirements for the undergraduate degree in Analysis and Systems Development, from Federal Institute of Education, Science and Tech-nology of Rio Grande do Sul (IFRS) and aims to increase the security control that the owners have in their properties. Click here to read the article!

Technologies used:

• Node.js
• Python
• MongoDB
• Docker
• OpenCV
• Telegram

Samples:

Real-time identification of vehicles and people with a high accuracy rate using a Convolutional Neural Network, more information here.

The system features can be seen in the use case diagram below:

Running the app

All you need is having Docker installed and running.

Then run:

$ docker-compose up -d

and now access http://localhost:3000 in your preferred browser.