The author further discusses how this technology can be applied to other civil engineering applications, such as detecting water leaks. By combining infrastructural data with real-time data analytics and AI, organizations can improve their capabilities. The article concludes by emphasizing that this is not just mission-critical technology, but life-critical, as it can help save lives by improving the safety of road networks and other infrastructure.
Key takeaways:
- Data analytics and artificial intelligence (AI) are being used to improve road safety by detecting and classifying vehicles, predicting driver behaviour, and identifying infrastructure needs.
- AI is being used to recognise structural anomalies in images, allowing for real-time analysis of road conditions and prioritisation of construction efforts.
- Combining data from IoT sensors and AI can help develop early warning systems for road wear and tear, and can be used in other applications such as detecting water leaks.
- This use of real-time AI-powered data analytics for infrastructure maintenance is not just mission-critical, but life-critical, as it can help prevent accidents and save lives.