Always current: turning repeat drives into automatic change detection

The hardest part of an asset inventory isn’t building it — it’s keeping it true. Networks change constantly: a pole is replaced, a sign is knocked down, vegetation grows back, a new connection is added. An inventory captured once starts drifting from reality the day after it’s made.

That’s why 4D-360 is built around repeat capture. Because a drive is cheap compared with mobile LiDAR, you can run the route monthly or quarterly instead of once a decade. And because every capture is georeferenced to the same frame, the platform can compare drives automatically.

Drive the route again and you get a delta against the last capture:

• Moved — an asset whose position shifted (a leaning pole, a displaced cabinet).
• New — assets that weren’t there last time.
• Gone — assets that have been removed or destroyed.
• Changed condition — rust, sag or clearance that crossed a threshold (see condition scoring).

Each change becomes a ready-to-dispatch work order, not a spreadsheet someone has to reconcile by hand. The AI detection step does the matching; you review exceptions, not the whole network.

This is what turns a single drive’s deliverables into a living twin — and it’s the same engine whether you’re tracking grid assets, city streetscape or a transport corridor. One cadence, every industry.

Get in touch to put your network on a drive cadence.