Case Study: Waverley Council strengthens stormwater resilience with VAPAR AI

Waverley Council identifies 11,000+ stormwater defects with VAPAR

Waverley Council, responsible for a densely populated coastal area in Australia, faced significant stormwater management challenges due to steep terrain, ageing assets, and intense rainfall. Their traditional inspection processes were slow and made strategic, risk-based renewal planning difficult. To support its shift to predictive, evidence-based practices, the council partnered with VAPAR and adopted its AI-powered platform to automate condition assessments.

By implementing VAPAR's solution, the council automated the analysis of CCTV footage, enabling the rapid identification and classification of defects. This provided a comprehensive, data-driven view of the network's health. The results were substantial: 13.75 km of pipe was assessed, over 11,000 features were automatically identified, and 850+ inspections were processed. VAPAR’s data directly fed into the council's 10-year renewal plan, strengthening its stormwater resilience and enabling smarter, risk-based investment.

Waverley Council