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Awards

Topic Information Award/Contract Number Proposal Information Company Performance
Period
Award/Contract
Value
Abstract

H-SB016.1-001
Security Systems Video/Audio Interoperability Device

HSHQDC-16-C-00050 HSHQDC-16-R-00012-H-SB016.1-001-0013-I
(HSHQDC-16-R-00012 Phase I)
Security Systems Video/Audio Interoperability Device

MCQ INC.
1551 Forbes St.
Fredericksburg, VA 22405-1603

05/02/2016
to
11/01/2016
$99,974.37

Through this SBIR, a system will be developed to enable authorized users to access video and audio from existing surveillance systems, and rebroadcast the video/audio signals for use by authorized users such as first responders. McQ will leverage its extensive camera interface, video compression, cryptography, and product development experience to both perform the appropriate tradeoffs in designing the system and to successfully build and test a prototype system. Interoperability is a critical feature of the system to allow the system to operate on a variety of closed circuit and networked camera systems; each with different physical interfaces, communication standards, and architectures. McQ's plug-and-play camera interface experience developed through developing its vWatch product, and its extensive networking and communications experience based on over a decade of developing video streaming products, will be efficiently utilized. During Phase I, a detailed analysis will be performed to provide a camera interface standard which encompasses a large variety of existing surveillance camera products; and a complete system design will be developed. During Phase II, a prototype system will be assembled and tested.

H-SB016.1-001
Security Systems Video/Audio Interoperability Device

HSHQDC-16-C-00051 HSHQDC-16-R-00012-H-SB016.1-001-0015-I
(HSHQDC-16-R-00012 Phase I)
Security Systems Video/Audio Interoperability Device

Systems Engineering, Inc.
21351 Gentry Drive
Suite 100
Dulles, VA 20166-6510

05/02/2016
to
11/01/2016
$96,986.03

First responders are challenged by the lack of real-time information from surrounding video/audio sources when arriving at an incident and a forced to rely of information that is outdated or incorrect from secondary sources. In today's technological society, there is a plethora of video cameras; in homes, businesses, law enforcement and public areas that difficult to access. To gain access to this information requires level of technical expertise not readily available to first responders. The issues arise with disparate systems employing different standards, equipment types and quantities. The response details the research required in Phase I to design a self-contained device that will capture video and audio from closed-circuit television and networked video security systems commonly implemented by both public and private entities. The concept will address how to access the video and audio feeds with the approval of the system owners, and rebroadcast the data to first responders and incident command centers for improved situational awareness. and enhanced personnel safety. The concept will enable plug and play access, through hard-wired or wireless capabilities to the widest array of existing video security systems for use during an emergency or response operation. To optimize the ability for first responders to readily access on scene information, the concept will consider characteristics of typical video and audio security systems installed in public and private buildings or used to monitor large outdoor areas.

H-SB016.1-002
Applicability of Blockchain Technology to Privacy Respecting Identity Management

HSHQDC-16-C-00058 HSHQDC-16-R-00012-H-SB016.1-002-0026-I
(HSHQDC-16-R-00012 Phase I)
Credentials on Public/Private Linked Ledgers

Digital Bazaar, Inc.
203 Roanoke St W.
Blacksburg, VA 24060-7419

05/02/2016
to
11/01/2016
$99,512.89

A wide variety of applications could benefit from combining identity management technology with decentralized ledgers (aka blockchains). However, not every application uses the same data or requires the same consensus or authorization models. While a single solution is unlikely, we assert each application could benefit from a standard, configurable, decentralized ledger with flexible semantics. We will study the feasibility of this concept by building a proof-of-concept Linked Data ledger format and architecture. We intend to configure this architecture to demonstrate how to publish credentials (aka verifiable attributes) to address specific DHS use cases and to commercialize the created technology. The proposed architecture would enable ledgers to provide independently, cryptographically verifiable credentials with flexible semantics. This approach decouples issuing and verification services, reducing infrastructure requirements and costs for issuers. It also increases a ledger's utility and number of participants, resulting in cost sharing and increased incentives to provide the high availability now only required by the verification process. For example, fire and rescue organizations could publish credentials about personnel to a highly available public ledger. First responders could then be authenticated to gain access to protected sites or resources by demonstrating ownership over these credentials via their mobile device. Even if the credential issuers had experienced complete system failure, the verification process would be unaffected. This approach encourages shared infrastructure costs, highly available verification systems, and new forms of authentication and authorization for numerous applications, including those that would benefit the DHS.

H-SB016.1-002
Applicability of Blockchain Technology to Privacy Respecting Identity Management

HSHQDC-16-C-00059 HSHQDC-16-R-00012-H-SB016.1-002-0034-I
(HSHQDC-16-R-00012 Phase I)
Xcelerate Solutions Response to H-SB016.1-002

Celerity Government Solutions, LLC
8405 Greensboro Drive, Suite 930
McLean, VA 22102-5110

05/02/2016
to
11/01/2016
$99,000.00

Xcelerate proposes a project team of identity, security, privacy, and blockchain subject matter experts (SME) to perform research that determines the feasibility of a blockchain solution enabling users to establish and maintain trusted identity transactions with public and private organizations. Our solution will enable users to develop an immutable identity transaction history, including verified identity information, to be used as inputs to determine trust confidence levels based on past transaction history. It will provide an authoritative source of participant consumer identity attributes that Service Providers could use for attribute verification. A solution that is easily integrated with other technologies and leverages the advantages of blockchain technology will be valuable to the identity ecosystem and address key problems for which there are currently no viable solutions. This phase will produce a set of requirements, informed by privacy and security assessments of existing public and private blockchains, to be used in the design and prototype of a blockchain solution to be developed in Phase II. Security and privacy-by-design will be key tenets throughout Phase I to ensure the solution meets the requirements for Federal Government identity services. This feasibility study will evaluate blockchain implementations that meet these requirements. New concepts and methods will be developed to assess and design the security and privacy of blockchain technologies. We will develop a technical prototype to demonstrate its privacy, security, and technical capabilities and will complete a commercialization strategy to operationalize the solution for DHS as a deliverable of Phase I.

H-SB016.1-005
Internet of Things (IoT) Low-Cost Flood Inundation Sensor

HSHQDC-16-C-00076 HSHQDC-16-R-00012-H-SB016.1-005-0030-I
(HSHQDC-16-R-00012 Phase I)
Internet of Things (IoT) Low-Cost Flood Inundation Sensor

Progeny Systems Corporation
9500 Innovation Drive
Manassas, VA 20110-2210

05/02/2016
to
11/01/2016
$99,672.00

Progeny Systems proposes to develop a deployable, low-cost flood inundation sensor for alerts, warnings and notifications to responders and citizens using IoT Wireless Emergency Alerts. The sensor will be ruggedized, modular, deployable, GPS-enabled, and submersible. The sensor will be part of a scalable wireless mesh sensor network. The sensor network will consist of an array of wireless sensor nodes that can measure ever-changing flood conditions and report them back to an operations center through a gateway node. The data from all the nodes in the network will be collected and analyzed at the operations center so as to rapidly predict, detect and react to inundation of low-lying areas, underpasses, and critical transportation corridors. This critical data will allow for federal, state and local governments to make real-time decisions pertaining to flood response.

H-SB016.1-008
Using Social Media to Support Timely and Targeted Emergency Response Actions

HSHQDC-16-C-00062 HSHQDC-16-R-00012-H-SB016.1-008-0025-I
(HSHQDC-16-R-00012 Phase I)
Social media Triggers for Alerting and Response (STAR)

DECISIVE ANALYTICS Corporation
1400 Crystal Drive
Suite 1400
Arlington, VA 22202-4361

05/02/2016
to
11/01/2016
$99,992.89

Information present in social media is valuable to emergency response organizations which have a need to maintain situational awareness about the events and activities in a region of interest. Approaches to using social media to inform emergency personnel in rare and large-scale events such as earthquakes and hurricanes have been studied. However, the emergency response community has little experience with use of social media to improve the information available to first responders in more routine emergencies. The research proposed here applies Natural Language Processing and Machine Learning algorithms to the problem of extracting the signal of emergency incidents from social media data. In Phase I, the DAC team will identify a set of emergency incident types whose social media profile allows for incident detection, alignment with CAD incident data, and extraction of response-relevant information. At the conclusion of Phase I we will understand the tradeoffs between automated processing and manual analysis of social media and will be able to quantify the benefits social-media-sourced information can bring to the first responder. We will develop a prototype system that will demonstrate the feasibility of our approach, and define the requirements and touchpoints for integrating social-media algorithms into CAD systems. The technology developed under this effort can be transitioned into commercial emergency dispatch systems, and easily repurposed to address a variety of law enforcement and intelligence analysis scenarios. This work will be developed in partnership with the FDNY.