Artificial Intelligence in CCTV Sewer Condition Assessment

This content is a part of our ongoing Virtual Training series. You can view more training content here: Virtual Training.

SewerAI has developed a tool, using artificial intelligence, to automatically label defects and features in sewer pipe inspection videos, which enhances the accuracy and accelerates the production of condition reports on wastewater and stormwater assets while also reducing overall inspection costs. This presentation will focus on recent examples of how public agencies, engineering consultants and inspection services contractors are using AI and machine learning to assist with the condition assessment of large amounts of pipeline video.

Eric Sullivan is an underground construction professional who specializes in infrastructure condition assessment and trenchless technology solutions. Working with sewer utilities, consulting engineers and contractors, Sullivan has fulfilled a variety of accountabilities in his 13-plus years in the industry as a business development manager, national operations manager, professional certification trainer, CCTV operator, inspection system and vacuum truck technical sales representative, and sewer services project manager. Sullivan has been a Pipeline Assessment and Certification Program trainer through the National Association of Sewer Service Companies since early 2012, teaching courses throughout the U.S. and Canada. Sullivan is based in Seattle.

More from Drain, Municipal


Comments on this site are submitted by users and are not endorsed by nor do they reflect the views or opinions of COLE Publishing, Inc. Comments are moderated before being posted.