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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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