NGA Director Robert Cardillo stated during his 2017 Geospatial Intelligence (GEOINT) Keynote Address, If we attempted to manually exploit all of the imagery well collect over the next 20 years, wed need 8 million imagery analysts. We will need to automate 75% of analysts current workload in order to successfully analyze the deluge of imagery. To answer that need, 361 Interactive is developing a concept for an Automated Literal Imagery Analysis System (ALIAS). As part of a unique new opportunity, 361 Interactive will participate in a three-month technology accelerator sponsored by the US Air Force, working with mentors to discover potential customers, ensure ALIAS viability, and perform rapid redesign and agile development facilitated by customer feedback. The fortuitous timing of this program will afford 361 Interactive the resources, access, and venue to develop our ALIAS concept, concluding Phase I with a thorough feasibility study to implement ALIAS, dovetailing into Phase II with a prototype demonstration. Unlike the DoDs other efforts, which focus on automating full-motion video, ALIAS will enhance GEOINT analysts capabilities by streamlining literal imagery observation management (a core function of Object Based Production and Activity Based Intelligence), or possibly even relieving the analysts of the cumbersome process altogether.GEOINT,GEOSPATIAL INTELLIGENCE,activity based intelligence,object based production,AI,machine learning,Structured observations,intelligence analysis
