About

The rapid deployment of 5G infrastructure, Internet of Things (IoT) devices, smart buildings, transportation, and public safety data streams benefit communities across the country. However, these technologies have created a flood of data and made it difficult for public safety leaders and individual first responders to use them.

The Smart Communities, Smart Responders: An Artificial Intelligence for Internet of Things Prize Competition (AI3 Prize Competition) sought to address this situation by accelerating the development of real-time data visualization with rapid IoT sensor integration, accessing various IoT data streams delivered in usable formats. The objective of the AI3 Prize Competition was to help first responders solve complex problems by interoperating and integrating sensor information, thus improving situational analysis and response time.

Texas A&M University (TAMU) and US-Ignite invited members of the public to join the AI3 Prize Competition, which is funded by the National Institute of Standards and Technology (NIST) Public Safety Communications Research Division (PSCR). The participants were expected to ingest the unknown data, evaluate it based on metadata or other contextual information, as well as categorize the data appropriately to utilize it on a situational awareness platform.

The winning teams were among a few participating teams selected to demonstrate their solutions in a final, live test event at Disaster City®.

Credits

Audio, Lighting, Broll, interview frames

Technical Info

Sony FX3 on a DJI Ronin RS2 Pro Lit with a mobile Aputure light or bounce card for outdoor shots.

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