The system goal is a network-enabled FPGA-enhanced system for self-contained low-power image-intensified recognition. The system will support reprogramming, through-the-network, of its real-time recognition, FPGA supported identification of many asset classes. This effort focuses on feasibility… More

This Small Business Technology Transfer (STTR) Phase I research project investigates novel technological approaches with strong theoretical backing, which improve privacy and security in biometrics. This proposal develops secure robust revocable biometric transforms, applicable across a range of… More

The MOCA project will develop a network-enabled DSP+FPGA-enhanced image-intensified embedded system for self-contained low-power monitoring of crowds in open and in complex urban terrain. The Phase I effort will develop new algorithms explicitly for crowd management, rather than building on the… More

Multimodal biometrics for screening presents unique challenges. The evaluation of them presents even more challenges. The Securics team is leveraging 7 years of effort and past DARPA HID funding, on unique biometric evaluation approaches for measuring and comparing failure/performance predictions.… More

The FIINDER system goal is a network-enabled FPGA-enhanced system for low-power image-intensified recognition. This effort addresses a novel research approach to using intensified images for face-recognition and provides for the design of a low-power, lightweight, reprogrammable, embedded… More

Biometrics in moving maritime environments presents some unique challenges. Even if the naval shipboard sensor is in a complex gimbaled mount for stabilization, the inherent motion of the smaller craft in which the subjects of interest are located means the system must deal with motion, potentially… More

Biometrics in moving maritime environments presents some unique challenges. Even if the naval shipboard sensor is in a complex gimbaled mount for stabilization, the inherent motion of the smaller craft in which the subjects of interest are located means the system must deal with motion, potentially… More

This Small Business Technology Transfer (STTR) Phase II project aims to make fundamental advances in Biotopes -- cryptographically secured privacy-enhanced fingerprint and face-based technologies. The project will develop prototypes to support beta testing in commercial applications and pursue… More

In response to this call, Securics, Inc. proposes an automated identification and tracking various desert fauna and humans. In a remote environment the need for positive visual identification of non-cooperative, long distance fauna is essential to track local species in an area to determine their… More

Managing a large set of face images, whether in a biometric database, security/surveillance videos or a social networking site, presents unique challenges in automatic extraction of data, fusion of many features, and effective user interfaces. Unlike traditional biometric recognition, where an image… More

Physical Unclonable Functions (PUFs) are a less expensive and more secure alternative to the use of non-volatile memories to provide the secret storage. A PUF is a function that maps a set of challenges to a set of responses based on an intractably complex physical system. Given a fixed challenge,… More

The ability to accurately catalog and search through vast repositories of human images has been difficult to achieve for several reasons. The most common approach to this problem involves the manual tagging of images with textual descriptions. Unfortunately, manual tagging is a laborious process,… More

Overall biometric system performance depends on data quality, the strength of the biometric matching algorithms, the compatibility of the data quality with the matching algorithms, and the overall quality of the integrated system. For long-range face image acquisition and processing for tactical… More

This Phase II effort will expand the Attribute-based advanced face technology to TRL4 or more, to improve the user interfaces issues for this novel technology and to advance the fundamental understanding of Attributes and how they are efficiently computed and their stability properties. It will… More

ABSTRACT: This Phase II effort will significantly expand upon our novel animal tracking and recognition work accomplished during Phase I, culminating in the development and construction of two different types of system prototypes. Part I of the Base effort will focus on enhancing the algorithms… More

The ability to accurately catalog and search through repositories of human images has been difficult to achieve for several reasons. The most common approach, manual tagging of images with textual descriptions, is a laborious process. Such tags are often misleading or incorrect. Securics, Inc. has… More

Overall biometric system performance depends on data quality, the strength of the biometric matching algorithms, the compatibility of data quality with matching algorithms, and quality of the overall integrated system. For long-range face image acquisition and processing for tactical biometrics,… More