AI Pothole Detector LIVE – Bangalore Potholes 2025 | Testing on Varthur-Gunjur Road 🚧

Bangalore is once again in the news for its pothole crisis. The city claims to have repaired over 7,000 potholes, yet more than 5,000 are still pending. Citizens have even staged protests and human chains demanding safer roads.

In this video, I’m showcasing a Python + AI pothole detection system that I built and tested on the Varthur–Gunjur road.

👉 On just a 50-meter stretch, the AI detected 32 potholes in real time, logging their location, number, and timestamp into a live dataset.

🔍 What’s inside this demo:

Live video feed with AI highlighting potholes

Automatic logging of pothole data to Excel/CSV

Real-time insights for road maintenance

🛠 Why it matters for Bangalore:

Government has announced massive budgets for road repair (₹5,948 crore for maintenance).

Early detection can save money, reduce accidents, and avoid endless manual inspections.

This system can integrate into Smart City solutions, giving authorities accurate, real-time maps of road damage.

This is just the beginning — I’m working on upgrades to also detect size, depth, and severity of potholes.

💡 Do you think AI like this can help solve Bangalore’s pothole problem? Share your thoughts in the comments!

If you find this useful, please like, share, and subscribe to support more tech-driven solutions for our city’s infrastructure.

#Bangalore #Potholes #AI #SmartCity #BangaloreTraffic

Видео AI Pothole Detector LIVE – Bangalore Potholes 2025 | Testing on Varthur-Gunjur Road 🚧 канала Tunnel Vision