Secure Video Upload and Storage
Secure upload and storage to protect your data
Upload or review pipe inspection footage from anywhere, anytime, with the confidence that VAPAR’s platform will keep your data secure.
Search, Sort & Filter Asset Data
Search, sort & filter for efficient navigation
Quickly & efficiently navigate through large sets of inspection footage files with our search, sort & filter functionality.
Job categorisation to track projects
Categorise your uploaded CCTV videos into by jobs folders to make tracking your projects and workflows easy and efficient.
Compare assessments to reduce manual oversight
Automatically compare VAPAR’s assessments with that of your contractors, meaning your staff only need to investigate where the assessments differ.
Export results in your preferred format
Export results by asset, by defect, in CSV, PDF or XML format, and collated how you prefer. We also have a number of integrations into other software packages.
Mapping Your Results
Mapping your results for spatial summaries
VAPAR can display condition data for your assets on map format, giving an instantaneous visual summary of defect location and severity.
DIY coding for full flexibility and oversight
Prefer to leave the coding of inspection footage to your operators? Our DIY coding feature allows your experienced operators to handle CCTV coding via our easy-to-use interface.
Assisted Coding for accurate assessments
VAPAR’s AI models can automatically and accurately code inspection footage, saving time and expense for Contractors and Asset Owners.
Repair prioritisations to allocate expenditure
Receive comprehensive data-driven prioritisations for your pipe assets, assisting you in building your asset plan, and helping you to direct resources where they are most needed.
Repair recommendations to decide what pipes actually need repair
Based on the data provided by our AI inspection models, you’ll receive objective recommendations on which pipes need repair, and a suggested action based on the pipe defects and condition.