Nearmap AI features nearly 50 data layers, organised into a series of 13 AI Packs, to provide insights about roof features and conditions, vegetation, and property improvements like swimming pools and solar panels. Nearmap AI provides the flexibility and versatility to serve different needs of an organisation. The continually updating imagery gives confidence that parcel and property data is always up-to-date while multiple vintages allow for analysing changes over time.
Nearmap AI Gen 5 features new and updated AI Packs:
- Nearmap AI - Surface Permeability Pack helps users analyse the ability of the ground to absorb water. It includes Natural Pervious Surface and Hard Surface data layers.
- Nearmap AI - Debris Pack helps users identify potential hazards and risks in a parcel. It includes a Vegetation Debris data layer and a Junk and Wreckage data layer.
- Nearmap AI - Roof Condition AI Pack has been enhanced with three new data layers that help users identify potential damage areas in a property’s roof. It includes a Missing Tiles and Shingles data layer, a Permanent Repair (Patching) data layer, and a Zinc Staining data layer.
The data layers in MapBrowser have already been upgraded to return Gen 5 data. The Nearmap AI Feature API will return Gen 5 responses by default for any surveys where Gen 5 was processed. API calls can be customised to return Gen 4 data to assist with migration workflows. Gen 5 data is available for surveys captured after July 1. Select surveys captured prior to July 1 will be processed for Gen 5. Gen 4 data is available for surveys captured before August 15. This technical blog post, Migrating Data Models to Nearmap AI Generation 5, provides some recommendations for updating models and algorithms to Gen 5. Customers can also contact their account representative for assistance.