Case Study: Land Development Certificates improves pipe asset assessment with VAPAR

Land Development Certificates reviews 350+ inspections across 10km+ with VAPAR

Land Development Certificates (LDC), a subdivision certifier in New South Wales, faced the challenge of efficiently reviewing over 350 CCTV inspections of newly installed water pipes to ensure they met strict regulatory acceptance standards. This required a highly sensitive assessment to identify even minor defects that could impact the asset's future lifecycle. They engaged the AI-powered platform from VAPAR to automate this condition assessment process.

Using VAPAR's machine learning algorithms to analyze video footage, defects and features were automatically identified and pre-assigned, streamlining the inspection coding process. This solution allowed LDC to efficiently review over 10km of pipes, identifying 400+ defects to build a rehabilitation program. The results provided a more efficient and independent review process, with VAPAR enabling simple data sharing and giving LDC's engineering team complete control over the reported defects for project management.

Land Development Certificates (ldc)