J-66-DynamicHajj

Business Model

Inspiration

Pilgrims

Many pilgrims lost their lives in a split of a second in 2015 Mina stampede incident, they suffocated and crushed during the annual Hajj pilgrimage. The occurrence took place in Mina at the intersection of two streets leading up to Jamaraat Bridge. Yet, this was only a single incident among a chain of continuous disasters that occurs annually. Therefore, we developed a reliable and solid solution that could actually put an end to this dilemma.

What it does

DynamicHajj was found to solve the following problems:

Minimize the number of deaths when overcrowding occurs in areas and passages using smart fences, barriers, and doors where they narrow and extend whenever demanded.
Predicting the risks and disasters using pre-congestion forecasting.
Reduce the number of pilgrims' assistants considering the automation of most of the organizing processes.
Preknowledge of the exact amount of pilgrims before reaching a destination.
The ability to maximize the pilgrims' quantity.
Utilize the usage of the granted facilities like train transportation.
Identifying illegal pilgrims using face recognition algorithm implemented in CCTV cameras in order to increase discipline and profitability.
Organizing the entire pilgrims' journey until they finish the pilgrimage.

This complete system is a combination of auto-controlled fences, barriers, and doors. Where we attach a GPS chip in each pilgrim's bracelet, gathering the complete number of pilgrims and predicting possible overcrowding in passages and areas earlier. Every passage and road will dynamically change size by auto moving the fences and barriers. Auto closing/opening doors on sudden congestions in all facilities. We ensured to make our solution cost-efficient in order to take it to the next level as soon as possible.

How we built it

The idea is built using the max-flow-min-cut theorem, machine learning, face recognition, and augmented reality. Nevertheless, we've illustrated the idea in a face recognition app which determines whether the pilgrim is legal or illegal, age, and health record if found. Along with an animation to explain the smart fences, barriers, and doors' dynamic changes based on the flood of pilgrims.

Challenges we ran into

Our main challenge was illustrating a huge collaborative solution in a hackathon app submission. However, we've created a single screen divided into two sections iOS app, the top part which shows the face recognition and augmented reality, and the bottom part to demonstrate the smart fences, barriers, and doors solution.

Accomplishments that we're proud of

We got the face recognition and augmented reality working as our first feature up and running in 6 hours.

What we learned

Brainstorming using the six thinking hats method, all of us are extremely interested in our presented idea, even though each one of us came from a different background and has their own culture and understandings, we only met in this hackathon and we feel like brothers already.