Poor waste management in Hajj is the main cause of crowd congestions, health contamination, and air pollution. The challenge with waste management lies in detecting and prioritizing the locations of accumulated waste. Traditional methods have limitations in their viability: having a network of volunteers is inefficient, monitoring all surveillance cameras simultaneously is impossible due to manpower limitations, and finally computer vision is not practical without the presence of a proper training set.
Many muslims around the world - not preforming Hajj - are willing to contribute and make an impact in this holy event. Our goal is to involve passionate muslims in addressing the waste management problem. To solve a complex problem, sometimes it takes a crowd.
What it does
SurvHajj is a simple game that provides all muslims the opportunity to make an impact solving Hajj problems.
SurvHajj utilizes the intelligence of the crowd (people not preforming Hajj) in analyzing small snapshots in the form of a game (such as counting pilgrims in an image or reporting unusual behavior) directly from their phones. The objective is to identify real-time images with wastes to enable optimizing the management resources. It also creates training data sets that will be used for further improving the visual machine learning worldwide.
How we built it
Challenges we ran into
- Focusing on one use case with such a general technology
- Integrating multiple technologies in one platform
- Figuring out a way to reduce the response time between the dashboard and the end users
Accomplishments that we're proud of
-Finding a simple and economic solution for big problem -The impact achieved by enabling people from all around the world to participate with what humans do best: analyzing images
What we learned
- How to be efficient in launching an MVP once the idea is determined
- The importance of having a flexible team, that's willing to learn things as they face them (more important than a capable team)
- The effectivness of design in communication and product adoption
What's next for ServHajj
With the aim of leveraging crowdsourced intelligence for tackling challenging computer vision problems, ServHajj technology can be easily extended to tackle other Hajj challenges: crowd management, identifying irregularities/suspicious behavior, etc. Moreover, ServHajj technology goes beyond waste management, and beyond Hajj.
Next steps are include finalizing the MVP to be launched this Hajj. The objective is to move the technology from an idea to a business product; this involves finalizing financial projections, building team, etc.