Council approves Sewer AI agreement to analyze CCTV and prioritize sewer rehab
Loading...
Summary
The council authorized a contract to use Sewer AI’s AutoCode and Risk & Rehab tools to analyze CCTV footage of the city’s sewer system, automatically code defects, and generate prioritized rehabilitation recommendations to guide a multi‑year replacement program.
The City Council approved an agreement to use Sewer AI software to process CCTV footage from sewer inspections, automatically flag defects, and produce risk‑prioritized rehabilitation recommendations.
Public Service Director David Dale said the platform will expedite work on what the city expects to be a long‑term program of pipe replacements and manhole work. “This will give us a huge kick start toward what we were already planning to do in our master plan,” he said. A Sewer AI representative described the workflow: inspection footage will be uploaded, the AutoCode AI will produce coded defect calls that are then reviewed by NASCO‑certified technicians, and a risk‑and‑rehab engine will rank priorities based on consequences and likelihood of failure, proximity to sensitive sites and other user‑configurable factors.
Why it matters: staff said the city expects decades‑old infrastructure in sections of Old Town and elsewhere and has budgeted for multi‑million‑dollar annual replacement needs. Using an automated platform, with human verification, is intended to reduce consultant hours and accelerate decision making about where to allocate capital funds. Council approved the agreement 4‑0.
What’s next: the contractor will ingest CCTV footage as it is collected, staff will work with Sewer AI to configure risk recipes that reflect local priorities (schools, hospitals, collapse risk), and the analysis will produce prioritized lists to guide the capital‑investment program.
