iDAS CCTV reads your wastewater and stormwater inspection footage, proposes NZPIM4 observations with a frame image at every defect, and lets your engineers accept, edit or reject each one. Grades, repair recommendations, PDF reports and a Civil 3D export follow on from the review.
| Dist | Code | Characterisation | Status |
|---|---|---|---|
| 4.20 | JD | Joint displaced · M | Accepted |
| 7.85 | RF | Roots fine | Accepted |
| 12.40 | CL | Crack longitudinal · M | Proposed |
| 18.10 | DS | Deposits settled · 20% | Proposed |
| 23.65 | RM | Roots mass | Proposed |
Built in New Zealand for the NZPIM4 coding standard, iDAS CCTV serves the asset owner who plans renewals, the consultant who reviews and grades, and the contractor who codes footage in the field.
Turn a backlog of inspection footage into graded assets and a prioritised repair list.
Review, grade and report quickly while keeping full control over every observation.
Code faster and deliver NZPIM-compliant data in the format clients already expect.
The AI does the slow part. Your reviewer stays in the loop at every observation, so the report that goes out is one an engineer has signed off.
One portable .idascctv file holds any number of inspections, plus an images folder for captured frames.
Link the footage, trim start and end. The AI reads the on-screen overlay to pre-fill asset ID, nodes, date, material, size and surveyed length.
Frames are sampled at your chosen interval. Each defect becomes a proposed NZPIM4 observation with code, characterisation, quantification, clock position, distance and confidence.
Accept, reject or edit proposals; add manual observations at any video position with a frame captured automatically. Grades 1–5 recalculate as you go.
Inspection PDF, NZPIM coded data, project summary and a Civil 3D package with chainage-placed defects and photos.
Vision AI reads the footage and proposes NZPIM4 observations with a frame image, confidence and remarks. An optional local ONNX detector is available for offline analysis.
Proposed observations are accepted, rejected or edited. Add your own at the current video position; re-running the AI never touches accepted or manual observations.
Structural and service peak, total and mean scores from the NZPIM4 scoring tables, with grades 1–5 for every accepted observation set.
Per asset and per observation. Built-in actions from patching to lining and root removal, plus your own custom actions and rule-based suggestions.
One row per inspection with grades, review status, repairs and highest priority. Export as CSV or a landscape PDF for the renewal programme.
Inspection PDF with header, grades, repairs and an observation table with images. NZPIM Appendix A coded data as a text file.
Export a package with chainage-referenced observations and run the IDASIMPORT command to place text, images and leaders along the alignment.
Dark theme, ribbon with vector icons, dockable panels you can float onto a second monitor, resettable layout, metric or imperial units.
A project is a single SQLite file plus images. Copy it, email it, archive it. Everything works offline except the AI analysis itself.
The full NZPIM4 catalogue of codes, characterisations and quantification methods drives both the AI prompt and the review dialogs, so what the AI proposes is always a valid NZPIM observation.
Repair recommendations live alongside the observations they come from. Rule-based suggestions appear as proposals; an engineer accepts them, changes them or adds their own.
| Defect codes | Min. grade | Action | Priority |
|---|---|---|---|
| RM, RB | 2 | Root removal | High |
| CL, CC, CM | 3 | Patch | Medium |
| FL, FC, FM | 4 | Lining | High |
| B, H, X | 5 | Dig up | Urgent |
| DS, DA | 2 | Cleaning | Low |
Most CCTV tools stop at the report. iDAS CCTV carries the result into the design model, where renewal and rehabilitation work is actually drawn.
observations.csv, observations.json and images/IDASIMPORT command places multiline text, images and leader lines along a selected alignmentHeader, grades, asset repairs and an observation table with frame images and per-observation repairs.
Appendix A format, always in metres as the standard requires, for submission to asset owners.
One row per inspection with grades, review status, repairs and highest priority. Landscape PDF or CSV.
Chainage-referenced observations and photos, ready for the IDASIMPORT command.
Nothing reaches a report or an export until a person has accepted it. Every observation keeps its frame image and reviewer notes.
Codes, header fields, scoring tables and the Appendix A export all follow the New Zealand manual, not an overseas standard mapped across.
From the same team that builds iDAS for Civil 3D roads, stormwater, wastewater and water design. The CCTV result lands where the renewal is designed.
A Windows application with single-file projects. Your footage and data stay on your machine; only frames sent for AI analysis leave it.
.idascctv SQLite file plus an images folderNo. The AI proposes observations; a reviewer accepts, edits or rejects every one. Only accepted observations count towards grades, reports and exports.
Previous proposed AI observations are replaced. Accepted observations and manual observations are kept.
From the chainage read on the video overlay where legible, otherwise by linear interpolation between footage start and end against the surveyed length. You can edit the distance in the Observation dialog.
Yes. Custom repair actions are defined in application settings and appear alongside the built-in ones. Suggestion rules are editable too.
Everything except the cloud AI analysis works offline. An optional local ONNX detector can be configured for fully offline analysis.
The built-in report is a generic NZPIM-style sheet. Client-specific templates can be supplied and swapped in; talk to our team.
Book a demonstration with the Devotech team and see footage coded, graded and exported to Civil 3D in one session.
Or email sales@devotechgroup.com