PipeLoc AI: Revolutionizing Underground Pipeline Location with Artificial Intelligence

Authors

  • Priti Agrawal Manav Rachna University [MRU] Faridabad, India.

Keywords:

Flutter,OSMMapAPI,GoogleMLvision,Firebase

Abstract

The paper proposes an application to improve the accuracy of tracking readings for pipeline layers. The system uses an AI camera to scan the tracker's screen, automatically capturing data and sending it to a database. This solution eliminates errors and allows trackers to work more efficiently, leading to increased wages and better management of the site. The software also assists trackers in entering information and planning their activities.

Published

2023-10-27