Inspiration

Motivated by the mass existence of surveillance cameras and video feeds during the whole event on one hand, and the pressure on the organization teams especially in operations' rooms on the other hand. Inspired by the latest improvements in computer vision thanks to deep learning, we would like to extract and use data from live video feeds in different hajj organization aspects.

What it does

TOP SECRET !!!

How we built it

Android Studio, Google Cloud Vision API, Rest API

Challenges I ran into

GC Vision API precision in image analysis.

Accomplishments that I'm proud of

What I learned

Google Cloud Vision API

What's next for TeamK-007

we post a link to the first running snapshot of our project on github. It includes the following features: 1- display information about crowd rate in the main hajj places. 2- use google cloud vision to get information about the crowd from static images . 3- display of the most crowded places with a heat map

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Updates

posted an update

Update 2:

In this update, we post a link to the first running snapshot of our project on github. It includes the following features: 1- display information about crowd rate in the main hajj places. 2- use google cloud vision to get information about the crowd from static images . 3- display of the most crowded places with a heat map

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