/Deep-Secure

Intelligent Surveillance System

Primary LanguageJupyter Notebook

Deep-Secure

Intelligent Surveillance System.

Team_members

( AhmedHisham99 - khaledAIVR - Adhm989 ).

Introduction

In our modern world, living in cities has become essential for our lives, cities do provide us with the essentials of life that we need as nutrition, transportation and many other things that guarantee a good life for us, but the most important feature is safety, safety is one of the main concerns for every family and every resident in general, in addition to the current security system, we introduce our intelligent surveillance system "Deep Secure" which facilitates the emergency management process as it provides instantaneous reports for different emergent situations such as road accidents, fires, violence so that it gives accurate report for the current situation and reports to the competent authorities.

Illustration of the usage scenario

The system would be installed on surveillance cameras distributed in specific regions. Deep Secure will get his data based on the current camera footage. System will process the current data, it will only be triggered if it did detect one of the listed down below actions:

  • Building Fires
  • Road Accidents
  • Violence
  • Passerby critical health problems as fainting (In Progress)

Once triggered it would send printed report to the convenient department as fire, medical or police departments containing emergent description and the precise location including a sample photo from the incident scene.

Demo

https://www.youtube.com/watch?v=4_PMMxNUQEs

Check it out!

  • open our jupyter notebook using google colab.
  • add the required files to your drive by adding a shortcut of the folder in the following link: (https://drive.google.com/open?id=1aQ0RjFUP2yyMIGbB2TSzao5ZGr7NnUs6)
  • Then mount your drive using the first cell in our notebook.
  • After running all the cells you can upload any video and detect if it contains fire, violence or car accidents scenes.