PipeLoc AI: Revolutionizing Underground Pipeline Location with Artificial Intelligence

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

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
How to Cite
AGRAWAL, Priti. PipeLoc AI: Revolutionizing Underground Pipeline Location with Artificial Intelligence. Journal of Advanced Research in Electronics Engineering and Technology, [S.l.], v. 10, n. 1, p. 16-19, oct. 2023. ISSN 2456-1428. Available at: <http://thejournalshouse.com/index.php/electronics-engg-technology-adr/article/view/845>. Date accessed: 22 dec. 2024.