SAN FRANCISCO & SAN DIEGO--(BUSINESS WIRE)--CrowdOptic, SICdrone, and Suspect Technologies today announced a joint initiative to deliver unmanned aerial vehicles (UAVs) from SICdrone, powered by CrowdOptic’s live-streaming capabilities and focal clustering analytics, along with facial recognition and obfuscation technology from Suspect Technologies, to clients in the first responder and public safety industries.
Today’s announcement also follows the recent release of FieldApp, CrowdOptic’s public-facing Android app that allows individual citizens to use the same underlying technology being tested by the U.S. Special Operations Command (USSOCOM) to track points of interest for the purpose of surveying, field estimation, and geo-coordination activities. FieldApp was recently selected by SOFWERX, a venue operated under partnership intermediary agreement between Doolittle Institute and USSOCOM, for inclusion in its 1208 Rapid Prototyping Event.
"My research left me blown-away with the technical background of the CrowdOptic team, as well as the technology they've been able to field," commented Bill Haseltine, Supervisor, Operations Research Analysis at USSOCOM.
The unmanned aerial vehicles, manufactured by SICdrone and developed in concert with technology from CrowdOptic, were announced earlier this year as part of a drone navigational project.
“Our unmanned aircraft now have capabilities that no other drone provider offers,” noted Daniel Bosch, CEO of SICdrone. “Such capabilities make our UAVs part of an integrated system designed to fulfill a larger purpose, rather than a standalone vehicle serving merely as an isolated asset.”
“This initiative will allow drone operators to incorporate FieldApp’s sightline tracking technology into their unmanned aircraft, and in so doing allow command centers to track and direct the focus of their assets both on the ground and in the air,” commented Jon Fisher, CEO of CrowdOptic.
This solution, which utilizes several CrowdOptic patents (U.S. Patent 8,527,340, U.S. Patent 9,020,832, and U.S. Patent 9,264,474), analyzes location and line-of-sight data from two or more devices, such as drones or mobile phones, to automatically distill their sightlines into a single point of interest—i.e. the focus of a group.
Facial recognition and obfuscation technology as provided by Suspect Technologies will allow agencies to identify certain individuals while respecting the privacy of others and observing existing privacy laws.
CrowdOptic is an enterprise software company that uses a scalable enterprise platform to live-stream video while analyzing sensor data from mobile and IoT broadcasting devices—including smartphones, wearables devices (e.g. smartglasses), drones, and fixed cameras. CrowdOptic can live-stream from any device while understanding analytically where devices are aimed in common (at fixed or moving targets). CrowdOptic works with leading global enterprise companies in the field service, healthcare, sports & entertainment, and security industries.
For information about CrowdOptic, please visit: www.crowdoptic.com.
SICdrone is an unmanned aircraft system manufacturer focused on high-speed commercial grade multicopters. SICdrone tiltrotor systems are second to none when comparing speed, maneuverability and stability to existing small drone technology. Market examples of where they intend to focus on include professional videography, agriculture, and infrastructure.
For information about SICdrone, please visit: http://sicdrone.com.
About Suspect Technologies, Inc.
Suspect Technologies builds public surveillance and identity verification products. It is currently launching an automated video redaction platform to several thousand law enforcement agencies. Suspect Technologies has a facial recognition access management solution coming soon. Suspect Technologies is generally interested in several other privacy, security and analytic products and is currently looking for various partners: startups, government, websites, and law enforcement.
For information about Suspect Technologies, please visit: http://suspecttech.com/