Use cases
Fresh, high resolution, and accurate imagery is the primary ingredient for a great map.
The Map Image API is a simple, powerful, and cost effective map imagery source used across
industries and use cases. Trusted and used by forward-looking businesses across the logistics,
utilities, real estate, telecom, insurance, and engineering industries.
The Map Image API is a simple, powerful, and cost effective map imagery source used across
industries and use cases. Trusted and used by forward-looking businesses across the logistics,
utilities, real estate, telecom, insurance, and engineering industries.
Logistics
Complex road system
- Highway interchanges with constantly changing on- and off-ramps are one example of complex road systems that need to be monitored for changes.
Missing addresses
- Missing addresses in urban environments makes delivery challenging.
- Our Map Image API provides high resolution street level imagery to help identify all those delivery locations with missing addresses.
One address, multiple locations
- Complex locations like hospitals and shopping centers have one address, but multiple delivery locations.
- Logistics companies need granular information about delivery locations.
- The Map Image data from ground level lets you identify and update your systems with this granular information.
Complex drop off / pick up
- Drop off and pick up locations for ride sharing companies often are situated in areas with obstructed map imagery.
- The Hivemapper Network contributors collect street level imagery in these locations.
Commercial delivery entrance
- There are 16-17 million delivery trucks in the US alone. Of those, 2.5 million are tractor trailors.
- Tractor trailers are particulary hard to navigate at the point of delivery locations. There are complex rules and hazards waiting at every corner.
- Street level map imagery allows you to identify and label these locations with confidence.
By deploying Hivemapper across our fleet of garbage trucks, we'll be able to leverage near real-time street level imagery to better respond to customer service issues.
Keith Hanson
Chief Technology Officer
at City of Shreveport
at City of Shreveport
Utilities
Asset inventory
- Each utility pole has asset identifiers and equipment that need to be tracked for location and condition of the pole and equipment.
- Street level map imagery allows you to identify and label these locations with confidence.
Telecom
Asset inventory
- A city the size of Dallas, Texas has to deploy over 10,000 5G nodes to provide coverage. That means a wireless telecom operator has to track and manage thousands of pieces of 5G equipment.
Real Estate
Create local maps
- Visualize neighborhoods for building permits.
- Help with real-estate appraisals.
- Showcase buildings and homes for sale or rental.
- Create campus maps for your school, hospital, or venue.
Insurance
Property risk assessment
- High resolution street-level imagery helps insurance companies understand the condition of roofs, fences, swimming pools, and more.
Product Specs
The Map Image API enables you to start small and scale as our map coverage grows. You can choose between front-facing or side-facing views, or request both. Companies only pay based on Map Image API data usage and there are no additional fees. Anyone can start using the map today by creating an account and generating an API key.
Front-facing
Side-facing
Unit
- 1 Map Tile = 0.001 Sq Km
- 1,000 Map Tiles = 1 Sq Km
Accuracy
- Absolute accuracy: 1 to 2 meters
- Relative accuracy: 50 centimeters
File Format
- JPG
Resolution
- 4K images (3840 × 2160) or better
Data available for
each Map tile
- Front-facing imagery within the tile
- Side-facing imagery within the tile
- Private information (faces and license plate) masked
Explorer
Our map Explorer shows you where contributors have built the global map.
Want a new area mapped or want fresher maps in an area?
You can prioritize a set of map tiles so that the area gets mapped faster.
Want a new area mapped or want fresher maps in an area?
You can prioritize a set of map tiles so that the area gets mapped faster.
