Wollongong, Brisbane, Transport for NSW, and Toronto Parking Authority ran one platform against four very different problems. This 6-page case study shows exactly what each council got back.
✓ 170 km GIS spec captured in a single pass
✓ 54,800+ pavement defects classified by severity
✓ 5,500 kerbside unaccounted assets surfaced
Every council have the same challenges. Behind on the asset register, reacting instead of planning, spending heavy on audits, and not getting the resolution they need back.
Traditional manual auditing was time-consuming, expensive, and produced data that was outdated by the time collection was complete.
Pay stations, signage, hydrants, kerb cuts — assets get added, replaced, removed. Without a current inventory, capital planning runs on guesswork.
Manual compliance routes mean slow coverage, exposure to confrontation, and a thin layer of enforcement across the LGA.
A pothole gets reported, a pothole gets fixed. Meanwhile, thousands of other defects sit with teams, still waiting for attention.
SenMAP is the intelligence layer that uses live video to scan and identify city assets — parking meters, street signs, advertising signage, fire hydrants, even bikes and scooters parked on kerbs — and compile them into a digital asset system with location and characteristics attached.
Capture every sign, asset and kerbside object across your network. Receive it council-ready, in the format your asset systems and GIS already accept. No reformatting. No manual handoff. Pick the capture surface that fits the council.
Any standard council vehicle. Set up in under 10 minutes — drive your network as part of normal rounds.
Targeted streets, blackspots and pedestrian areas that vehicles cannot reach.
Pole-insertable fixed monitoring for continuous coverage of priority zones.
Zero new hardware. Use what is already mounted on streetlights, intersections and council buildings.
The same data feeds a continuous detection layer that watches for change. 40+ categories out of the box, trainable for anything the council needs that isn't on the list.
Cracks, potholes, rutting. Ranked by severity and dispatched to maintenance teams in order.
Faded, damaged or reduced-retro-reflectivity signs flagged before drivers report them.
Advertising signage, parking violations and illegal use surfaced from existing camera coverage.
Illegal dumping, overgrowth and abandoned vehicles caught on routine drives, not complaints.
SenMAP is the intelligence layer that uses live video to scan and identify city assets — parking meters, street signs, advertising signage, fire hydrants, even bikes and scooters parked on kerbs — and compile them into a digital asset system with location and characteristics attached.
Wollongong, Toronto Parking Authority, Brisbane, and TfNSW - what challenges they lived and how it was solved - with stats and outcomes.
Whole LGA captured in one pass. Delivered in the council's exact GIS spec, loaded straight into existing asset systems. Now expanding into road-asset baselining.
Pavement defects classified by severity, GPS-tagged and loaded directly into Council systems. Maintenance budget directed to the worst defects — not the loudest complaints.
THE DIFFERENCE
Most audits stop when the deliverable lands. SenMAP stays connected to council systems and keeps refreshing in the background.
Existing video feed, handheld, vehicle, or pole, whichever surface the council already has. No new fleet to fund.
GIS, asset management, finance, dashboards. Bi-directional REST APIs and webhooks — not flat exports.
Expanding scope on the same stack. No fresh tender every time the question changes.
Every deployment moved from a one-off audit to ongoing access — the platform stays connected to council systems and keeps refreshing in the background. The full story, council by council, is in the case study.
