Largest Military Medical Facility in Department of Defense Selects NICE

NICE Systems has announced that the San Antonio Military Medical Center (SAMMC), the largest U.S. Department of Defense Level I…
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NICE Systems has announced that the San Antonio Military Medical Center (SAMMC), the largest U.S. Department of Defense Level I Trauma and Burn Research Center, is in the process of deploying the NICE Suspect Search video analytics solution. This will enable personnel to track and locate missing patients or suspicious persons during time-critical scenarios to help ensure ongoing security and safety at a facility that serves hundreds of thousands of U.S. service members and their families.

The adoption of Suspect Search builds on SAMMC’s existing NiceVision video surveillance solution, which has been used to investigate incidents related to patient safety and well-being. Now, the combined solution will help SAMMC teams locate and track persons of interest in a matter of seconds and amidst hours of footage. By providing near-real-time, actionable information about someone’s whereabouts and movements, Suspect Search accelerates response times to mitigate the impact.

SAMMC will also integrate Suspect Search into an existing system designed to prevent infant abduction. The system, which combines wireless radio frequency technology, RFID bracelets, and video surveillance, automatically triggers an alarm and streaming video if an infant is removed from a designated area. Suspect Search will add another layer of protection against such incidents by providing a means to visually identify and track the subsequent movement of a suspected abductor within minutes of an alert, before the suspect has been able to leave hospital grounds.

“By using Suspect Search to significantly accelerate its response time to security and safety incidents, SAMMC can better fulfill its mission of delivering world-class medical care while ensuring that every patient’s visit is safeguarded,” said Chris Wooten, Executive Vice President, NICE Security Group. “This deployment highlights the solution’s capabilities in a range of scenarios and across various verticals, demonstrating the value of Suspect Search for large-scale security operations globally.”

NICE Suspect Search can be used to aid investigations in a number of time-critical scenarios-for example, in locating missing children; searching for an active shooter, intruder, or other criminal suspect; identifying the owner of unattended or suspicious baggage; or finding the perpetrator of a checkpoint breach at SAMMC entrances. Suspect Search analyzes video as it’s recorded to create unique body signatures which are captured and stored with the video. This enables organizations to use a video image, uploaded photo, or user-generated composite to scan hours of video in minutes, automatically filtering out 95 percent of irrelevant images. Suspect Search also provides geo-spatial awareness by retracing a suspect’s movements across cameras and pinpointing the suspect’s current or last known location. All images, related video, and locations associated with each search are digitally stamped and can be saved or shared with external agencies for investigation and prosecution.

NICE’s security solutions help organizations capture, analyze and leverage big data to anticipate, manage and mitigate security and safety risks, improve operations, and make the world a safer place. The NICE security, intelligence and cyber offerings provide valuable insights that enable enterprises and government agencies to take the best action at the right time by correlating structured and unstructured data from multiple sensors and channels, detecting irregular patterns, and recognizing trends. The solutions have been deployed to help secure a broad range of organizations and events, such as banks, utility companies, airports, seaports, city centers, transportation systems, major tourist attractions, as well as sporting events and diplomatic meetings.
Possible Missions and Precision Task Group of Houston are the system integrators for this project.

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