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MapSense uses novel AI to convert your legacy maps into vectorized, GIS data layers

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MapSense Pilot Program
We're revolutionizing geological map analysis

AI-based georeferencing and map digitization

who
should apply

exploration companies

land management groups

 geological consultants

anyone with maps to digitize

what
will happen

you provide map images

we return GIS files

you give us feedback 

why
take part

influence our product

receive future discounts

points  ·  lines  ·  polygons

Extraction

Our artificial intelligence - based extraction system leverages map legends to automatically extract point, line and polygon features from rasterized images. Separate layers are created for each legend item containing vectorized information for each common objects.

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Attributes

Attributes for each object are extracted along with the vectorized information and embedded in the attribute tables. Critical information such as dip direction, position etc are extracted

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Georeferencing

Each map is analyzed for lat/long, metadata and other clues to help determine it's location on earth. Further image analysis is used to validate candidates and determine the most likely location.

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Search

All the information we extract is made searchable from object to attribute. 

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Workflow

Nobody's perfect...including computers. So we've implemented a human-in-loop component of the workflow to help intuitively and efficiently correct last gap.

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about us

MapSense is a pre-startup organization from InferLink, Corp. (www.inferlink.com) an AI research and development firm headed up by some of the leading PhDs in artificial intelligence and deep learning. Our organization regularly develops novel technologies from government-funded projects and commercializes them into viable products and businesses. Our latest venture, MapSense has evolved from our award-winning work on DARPA’s CriticalMAAS project (https://criticalminerals.darpa.mil/) – applying AI for critical mineral assessment – and incorporates work from 70+ researchers in conjunction with the University of Minnesota and the University of Southern California.

Want to learn more? ....send us a message:

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