Counter-Terrorism

International terrorism threatens the U.S., its allies and interests, and the world community. Defeating the terrorist enemy requires technologies that can deter and counteract potential attacks.

SRI provides government and civilian agencies with advanced technologies, facilities, and programs to increase physical and cyber security. Solutions include

  • Explosives test site that has been essential for developing methods to neutralize Improvised Explosive Devices (IEDs) and other terrorist threats.

  • The Cyber Security Research and Development Center, supported by SRI for the U.S. Department of Homeland Security

  • Medical countermeasures to prevent, diagnose, and treat conditions caused by potential and existing chemical agents of terrorism

  • VerifIR™ standoff camera system, which enables users to detect and characterize concealed threats

Projects

track boxes around people walking through a parking lot

SRI is developing a prototype system to automatically detect and track multiple individuals in a crowd.

green boxes highlighting people walking on street

SRI’s vision-based systems enable safe operations of moving unmanned ground vehicles around stationary and moving people in urban or cluttered environments.

SRI researchers examine a IPDM test device.

SRI has developed a novel approach to safely and efficiently render harmless weapons and ammunition that are no longer needed for military use.

Products + Solutions

security guard identifying drivers with the IOM RapID-Cam II camera

Easy, fast, accurate biometric solutions for access control and identity verification. Iris on the Move (IOM) systems perform iris recognition effortlessly at a distance to ensure that only authorized individuals gain access to critical information, valuable assets, or secure locations.

IOM PassPort™ system illuminators and camera cabinet

A convenient, high-throughput iris-recognition system that delivers uncompromising identity verification without delay. Ideal for high-traffic applications such as airports and border crossings, this walk-through portal has a processing speed of 30 people per minute.

IOM N-Glance iris reader

An easy-to-use, modular identity-verification system for access control. The system allows users to network any number of iris readers to enforce secure access throughout a facility or campus.

VerifIR™ Video Surveillance Camera

Detecting a concealed bomb before it explodes in a crowded airport or sports stadium is critical. The VerifIR standoff camera system helps users find and characterize hidden threats in congested areas.

RapID-Cam II handheld device

This ruggedized, handheld device allows for simple biometric enrollment and identification anywhere in the field. The RapID-Cam II camera can capture dual-iris and facial images up to eighteen inches away—putting a comfortable distance between the user and the subject.

Mobile command post with product software callout

SRI offers real-time integrated reconnaissance and surveillance solutions for vehicles. These mobile systems enable situational awareness in rapidly changing environments.

explorer equipment

ConTEXTract™ video OCR technology finds and reads text (such as street signs, name tags, and billboards) in real scenes. Recognition of text within imagery and video requires a more specialized approach than is provided by off-the-shelf OCR software,.

BotHunter logo

SRI’s BotHunter system takes a unique approach to discerning networked computers that are under control of hackers, or may be spreading malware infections.

words in red, such as bug, malware, hacking, phishing

SRI and partners have devised Eureka, a free online service to evaluate whether detailed analysis of malware threats is warranted.

illustration of Earth with web connections viewed as light streams

To shield computer networks from cyber-attacks, SRI's HPB software analyzes millions of entries from worldwide volunteers participating in a firewall correlation system, and uses them to analyze attack trends.

Press Releases

sia NPS

SRI International Sarnoff’s Iris on the Move® (IOM) PassThru™ drive-up identification system was named Best in Biometrics, Identification and Credentialing by the Security Industry Association (SIA) New Product Showcase (NPS) at ISC West 2013.

iom passthru at vehicle access gate

SRI International Sarnoff brings the security of iris recognition to drive-up applications with its new Iris on the Move® (IOM) PassThru™ system. This multimodal biometric product quickly captures face and iris images for accurate identity authentication at the perimeter of any location.

Aurora Skate

Aurora Flight Sciences and SRI International Sarnoff today announced the integration of the SRI Sarnoff DL Micro™ digital data link and video processor into the Aurora Skate® Small Unmanned Aerial System (SUAS). This pairing maximizes the real-time delivery of quality video from the SUAS.

Acadia ILS-6500

SRI Sarnoff will introduce its Acadia® ILS-6500™ video stabilizer and encoder at ASIS 2012. SRI Sarnoff’s Acadia ILS-6500 combines real-time electronic image stabilization with H.264 encoding for improved distribution of quality video.

warfighter holding unmanned aerial vehicle (UAV)

A new digital data link and video processor from SRI Sarnoff enhances the quality of video images transmitted from unmanned aerial and ground vehicles. The DL Micro™ ultra-compact module increases image compression efficiency to improve the clarity and usefulness of video from moving vehicles.

Iris on the Move N-Glance product

SRI's IOM N-Glance identification system has received Lenel factory certification for its interface to Lenel's OnGuard® software system. SRI is now a member of the Lenel OpenAccess Alliance Program.

IOM RapID-Cam II, a handheld, biometric camera system.

SRI Sarnoff’s Iris on the Move (IOM) RapID-Cam II was named Best in Biometrics, Identification and Credentialing by the Security Industry Association (SIA) New Product Showcase (NPS) at ISC West 2012.

Iris on the Move N-Glance machine scanning woman's eyes

SRI International Sarnoff's Iris on the Move® (IOM) N-Glance™ identification system is now protecting access to EGL USA's New York laboratory by confirming the identity of authorized employees as they enter.

RapID Cam

SRI Sarnoff has introduced the Iris on the Move (IOM) RapID-Cam II, a handheld, biometric enrollment and identity verification camera system.

SRI In the News

Special Reconnaissance, Surveillance and Exploitation

This article about new technologies for special operations forces reports that SRI's TerraSight "can run on a ruggedized laptop, making advanced video exploitation available to forward operators, the company stated when announcing the product."

Board Eliminates Unwanted Camera Motion

This article reports that "in an effort to reduce issues cased by camera motion, engineers at SRI International have developed a video stabilization interface board expressly designed for Sony FCB-EX and FBB-EX-E standard definition block cameras."

Boosting Biometrics

"SRI International, which makes the Iris on the Move family of biometric identification systems, is building a prototype for the Army Research Laboratory that will provide an “off-axis” capability, or the ability to recognize someone with just a partial shot of the person’s iris"

ASIS 2012: HGH Systems Offers Unique 360-Degree Surveillance Capability

This article reports that “HGH Infrared Systems was pleased to tell attendees at ASIS 2012 in Philadelphia that its 360-degree IR Revolution 360 system has been integrated into SRI Sarnoff’s mobile surveillance solution”

DL Micro Digital Data Link and Video Processor - AUVSI Unmanned Systems 2012

This video interview with Mike Melle, product director at SRI International, was taken at the recent AUVSI Unmanned Systems tradeshow in Las Vegas, NV, and showcases SRI Sarnoff’s new DL Micro digital data link and video processor.

Robot Vehicles Invade Las Vegas

According to this blog post highlighting technology from AUVSI 2012, “SRI International demonstrated a digital image stabilization system that was attached to a quadrotor. The video was rock solid when stabilization was on.”

Augmented Reality: Where the Real and Virtual Worlds Meet

This article about augmented reality (AR) reports that “In the defense arena, augmented reality has been used to train warfighters, provide them with timely information during battles, and help them maintain and repair equipment while deployed,” said Rakesh Kumar and Supun Samarasekera

Augmented Reality

This article reports that SRI International Sarnoff is working with the Marine Corps Warfighting Laboratory (MCWL) to further develop virtual reality technology for military training.

Our Web Videos Reveal More Than We Realize, and Perhaps More Than We Want

This article reports that there is now technology to find and track objects in a video. “For some classes of objects, like faces, people—to some extent vehicles—the capabilities are mature,” says SRI’s Harpreet Sawhney, technical director of vision and learning systems.

Here's Looking at You: Iris Recognition on the Move

According to this article about SRI's Iris on the Move product line, technologists say the fundamental process of using standoff iris scanners and advanced computer processing to identify individuals moving in crowds is within reach.

Events

AUVSI logo: a robotic hand holding globe

SRI will demonstrate end-to-end video processing, exploitation, and dissemination solutions for unmanned air and ground vehicles.

AUSA Logo

Showcasing end-to-end solutions for force protection. SRI is demonstrating field-proven products for real-time vision processing, video exploitation, and identity verification.

UK Biometrics

SRI will be demonstrating its family of easy-to-use, indoor/outdoor biometric identification solutions. These products enable fast, accurate identity verification for access control—delivering unprecedented security without compromising throughput or ease of use.

Airport Exchange

SRI will be demonstrating its family of easy-to-use, indoor/outdoor biometric identification solutions. These products enable fast, accurate identity verification for access control—allowing aviation authorities to accelerate screening processes while increasing overall safety.

intersec logo

SRI Sarnoff will demonstrate its field-proven biometric and image processing solutions that deliver exceptional security without compromising ease of use.

AUSA Logo

Showcasing end-to-end solutions for force protection. SRI is demonstrating field-proven products for real-time vision processing, video exploitation, and identity verification.

Security & Policing Logo

SRI Sarnoff will demonstrate its field-proven biometric and image processing solutions that deliver exceptional security without compromising ease of use. These breakthrough security solutions improve access control, perimeter protection, and persistent surveillance.

BSE logo

SRI Sarnoff will demonstrate its field-proven, easy-to-use products for access control, time and attendance, persistent surveillance, and situational awareness. Capabilities include indoor/outdoor biometric identity authentication, real-time video processing, and 3D visualization.

ISC West logo

SRI Sarnoff will demonstrate its field-proven, easy-to-use products for access control, time and attendance, persistent surveillance, and situational awareness. Capabilities include indoor/outdoor biometric identity authentication, real-time video processing, and 3D visualization.

PTE logo

SRI will demonstrate its family of easy-to-use, indoor/outdoor iris biometric solutions. These products enable fast, accurate identity authentication for access control and time and attendance—delivering complete awareness and total security without compromising throughput or ease of use.

Publications

Autonomous robotic “fetch” operation, where a robot is shown a novel object and then asked to locate it in the field, re- trieve it and bring it back to the human operator, is a challenging problem that is of interest to the military.

This paper, published in the Interservice/Industry Training, Simulation & Education Journal, addresses the need within the military to enhance its training capability to provide more realistic and timely training, but without incurring excessive costs in time and infrastructure.

In this paper, published in Intelligent Robots and Systems (IROS), 2012. We present a system for detecting pedestrians at long ranges using a combination of stereo-based detection, classification using deep learning, and a cascade of specialized classifiers.

In this paper, published in the 15th International Conference on Information Fusion (FUSION), 2012 Multiple target tracking that integrates target model estimation and data association steps is described.

In this paper, published in The Interservice/Industry Training, Simulation & Education Conference (I/ITSEC). In this paper we present a system for tracking the trainee's location, head orientation, and weapon orientation that provides high precision and does not require an instrumented site.

In this paper, published in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2010. This paper presents a joint probabilistic relation graph approach to simultaneously detect and track a large number of vehicles in low frame rate aerial videos.

In this paper, published in IEEE International Symposium 3D Data Processing, Visualization, and Transmission.This paper presents a realtime, robust, and accurate stereo matching algorithm based on a coarse-to-fine architecture.

In this paper, published in IEEE International Conference on Robotics and Automation (ICRA). We present an innovative path following system based upon multi-camera visual odometry and visual landmark matching.

In this paper, published in SPIE Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2010. Vision system designers often face the daunting challenge of implementing powerful image processing capabilities in severely size, weight and power constrained systems.

In this paper, published in IEEE 12th International Conference on Computer Vision Workshops (ICCV Workshops), 2009, we propose a principled statistical approach for using 3D information and scene context to reduce the number of false positives in stereo based pedestrian detection.