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The Blueforce Sidecar features new video content, media coverage, and more. Check back regularly for updates.

CBRN

No matter what the public safety networks look like in 20 years, they are sure to have core capabilities grounded in location-based services.  A critical component of any successful rescue operation is time.  Decision cycle time can be optimized by having the precise location of buildings, core services, emergency service resources, and disaster relief sites. This information is critical to disaster relief teams and public...

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The relationship between weather and emergency management (not to mention emergency preparedness) is fundamental and can be quite complicated. Weather causes many of the disasters that require an emergency response, yet awareness of conditions is essential for management of incidents unrelated to weather as the cause. For sure, meteorological awareness can have a profound effect managing the extent of destruction to life and property to...

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Much like military conflict, manmade and natural disasters present similar challenges of uncertainty, complexity and variability. These time-constrained and chaotic decision environments require rapid adaptation and an ability to pivot quickly to changes in the environment. The complexity of the event, coupled with time compressed decision space and the severity of the potential consequences, creates conditions that are unforgiving of error. Given the austere and...

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It's that time of year. Every fire season, millions of acres across the world burn during wildland fire events. Worse, between 2000 - 2019 alone, more than 400 wildland firefighters lost their lives fighting these fires while protecting civilians, homes, and forests. While the hazards faced on the fire line can include burnovers/entrapments, heat-related illnesses and injuries, smoke inhalation, vehicle-related injuries (including aircraft), slips, trips,...

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Mosaic system tenants that relate to time constrained decision environments increase survivability while enabling rapid adaptation for the good guys, and creating complexity and uncertainty for the adversary through the rapid composition and recomposition of disaggregated IoT sensors and AI swarms.   A mosaic approach treats threat as a "complex adaptive system" and leverages low-cost manned and unmanned swarming formations, flexibly networked and rapidly configured to...

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Blueforce has been working diligently over the last six months on our new BlueforceTACTICAL and BlueforceEDGE ports to Linux. Much of our work has been in developing next generation Blueforce Plugins for the Linux platform that support and extend capability to shrink the footprint, but also the Space, Weight, and Power (SWaP) requirements such that the code can run on “System on Chip” containers, but...

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Squishy Robotics builds rapidly deployable mobile sensing robots for disaster rescue, remote monitoring and space exploration. With a rich history of building technology for NASA, Squishy technology is at the fusion of robotics, mobile sensing, machine learning, big data fusion and smart IoT (Internet of Things). Blueforce Founder and CEO Michael Helfrich recalls that a common friend of both companies brought Squishy and Blueforce together. “Both...

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Blueforce helps cut through the onslaught of perishable edge IoT data by enabling collections of human, silicon, and AI endpoints that interact with the physical world with sense-making across the collective. Our new BlueforceLINUX IoT fusion platform was built to enable swarm intelligence in a soldier worn form factor and is optimized for CUBIC/DTECH's full line of tactical edge compute form factors, and screams on...

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Distributed sense-making from K9 and military working dog sensor arrays deployed on Blueforce designed harness systems.  Learn more about Integrated K9 Operations for Special Tactics Teams using Blueforce, as broadcast on the Discovery Channel. ...

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Blueforce's new EDGEbox for Linux will Ship With Recognitional Plugins Given the tempo of operations and the collapsed decision space presented by increasingly non-predictive threats, we continue to hear a common refrain: decision makers want nothing to do with a big data problem when on target, or at an incident site. The “Commander” is too often drowning in data, yet desires an explicit collision of “sense-making”...

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