Inspiration
Inspiration: The deteriorating state of our road infrastructure and its impact on safety and economy.
Learnings: Road health metrics, data collection methods, advanced technologies, predictive maintenance strategies.
Project Construction: Deployed IoT sensors on roads, established a centralized database for real-time monitoring, utilized machine learning to predict maintenance needs, and set up an alert system for proactive response.
Challenges: Ensuring data accuracy, managing costs, addressing privacy and security concerns, engaging with local communities, and prioritizing environmental sustainability. The project aimed to safeguard road longevity, enhance safety, and minimize costs by leveraging data-driven insights and emerging technologies.
What it does
How we built it
Challenges we ran into
Accomplishments that we're proud of
What we learned
What's next for HEALTH MONITORING OF ROADS
Built With
- computervision
- detectron
- gis
- iot
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