UAV road condition monitoring system

Developed By: Sriman Ayashkant Avatar, Rakesh Das, Rosan Kumar Senapati, Biswakesh Naik

Drones are more formally known as unmanned aerial vehicles (UAVs). It’s like a flying robot which can be controlled by a remote through software controlled embedded system. They can also carry a camera, thermal imaging units, sensors and all sorts of tools now being used in all sorts of industries.
Potholes are terribly huge drawback in country like India. Potholes can easily damage the vehicles and be a cause for major road accidents. Thus, detecting and repairing the potholes is a great challenge for the management system. In order to enhance the efficiency of inspection, UAV technique can be employed.

In our study the UAV or Drones capture the images of hard to reach roads and pavements of potholes can be distinguish from the normal pavements through Morphological Operations. In the recent time, UAV is highly acceptable for inspection as it is highly efficient.
In our study we used Raspberry Pi and a suitable camera that can be mounted on UAV. The image captured by the camera goes through an image processing such as filtering, feature detection, detecting potholes region. Its efficiency is highly rated (nearly 78–80%). It is easily accessible and time saving which make it a suitable method of inspection. In our further studies we are aiming to upgrade it to get 3D images that will bring more efficiency.

Achievements:
Top 30 finalist in IIT Guwahati Bosch Hackathon by Indian Road Safety Campaign.
Top 5 finalist in IIT Delhi Hackathon by NITI Aayog.