Numerica awarded U.S. Air Force contract for real-time satellite tracking

FORT COLLINS, Colorado. (July 18, 2019) — With the increasing number of both active satellites and debris objects in orbit about the Earth, the space domain is quickly becoming more congested and contested. For the last decade, Numerica Corporation has been developing solutions to improve the collective understanding of the evolving space environment and is demonstrating the utility of its commercially augmented mission operations (CAMO) system for enhanced space situational awareness (SSA) under a new partnership with the Air Force Research Laboratory (AFRL).

AFRL leveraged the Defense Innovation Unit and the Commercial Solutions Opening process to competitively and rapidly award agreements with non-traditional, venture-class companies who have mature commercial solutions to view, characterize, and predict the changing physical location of objects in orbit around the Earth.

Numerica’s SSA team is building the most complete, commercially-available, on-demand deep-space catalog, and under CAMO, is sharing a real-time data feed to support government activities including operations and research and development efforts.

This data feed of information is produced from the Numerica Telescope Network (NTN) of more than 130 optical sensors positioned worldwide that provide complete and persistent nightly coverage of geostationary orbit (GEO). With its best-of-breed space surveillance tracking software, the Multiple Frame Assignment Space Tracker (MFAST), Numerica improves the security of both commercial and government interests in space.

Lt. Jackie Cromer, the AFRL CAMO Program Manager, stated “The Air Force Research Laboratory Space Vehicles Directorate is excited at the opportunity to work with Numerica and to explore how commercial data from their telescope network along with their data analytics algorithms can be used to enhance DoD space operations”.

“Numerica is excited to be a part of CAMO and delivering SSA data to space operators and system developers,” Todd Brost said, Numerica’s Director of Special Programs. “Our network provides a diversity of locations and sensors which greatly increases the collection opportunity, and when combined with Numerica’s advanced processing, ensures accurate orbital states and a high likelihood of space object detection. We look forward to demonstrating how Numerica data can be a key component to understanding the contested space domain.”

“Numerica’s CAMO contract is a major achievement for the company and provides a vehicle for demonstrating Numerica-developed commercial SSA capabilities,” said Dr. Jeff Aristoff, Numerica’s VP of Space Systems, who began leading Numerica’s SSA team in 2014. “These commercial capabilities stem, in part, from our partnership with AFRL and their early support of Numerica’s R&D efforts.”

NTN data and information products are now available via the Unified Data Library (UDL). This real-time data feed will continue until at least March 2020. Additional NTN data products and services are coming soon.

For more information about Numerica and their SSA capabilities, visit

About Numerica: Founded in 1996, Numerica focuses on creating innovative solutions to the most pressing technical challenges faced by customers in the areas of air and missile defense and space situational awareness. Headquartered in Fort Collins, Numerica’s rapidly growing team of talented research scientists and engineers tackle data science problems by developing advanced algorithms to power mission-critical national security software. The critical SSA mission involves the detection, tracking, identification and characterization of all near Earth-orbiting objects and the prediction of events, threats, and activities in space. Numerica’s state-of-the-art technologies have been deployed around the world to integrate networks, fuse data, precisely track targets, and quantify uncertainty.

Learn more at

LexisNexis Risk Solutions Acquires Lumen from Numerica Corporation

ATLANTA and WASHINGTON, May 7, 2019 /PRNewswire/ — LexisNexis® Risk Solutions today announced it is further expanding its public safety solutions with the acquisition of all Lumen assets, a product line owned by Numerica Corporation, a Colorado-based company. Lumen is an integrated data platform leveraged by public safety analysts, investigators, patrol officers and commanders to help solve cases faster.

Lumen will become part of the product line of the Government group of LexisNexis Risk Solutions and its public safety and law enforcement solutions. Lumen customers will gain access to a larger law enforcement network with additional solutions, new data sets and continued advancements in analyzing and responding to crime to help solve cases faster and support officer safety initiatives.

“The acquisition of the Lumen product line of Numerica continues our 20-year investment and commitment to the public safety sector,” said Haywood Talcove, CEO, Government, LexisNexis Risk Solutions. “We will continue to foster the innovations that have made both LexisNexis Risk Solutions and Numerica leaders in the marketplace. We look forward to working with our joint customers and welcoming the new police agencies, including the Colorado Information Sharing Consortium (CISC).”

CISC is a government legal entity with a Board of Directors of nearly a dozen sheriffs, police chiefs, and or top commanders from Colorado law enforcement agencies sharing data. CISC was founded in 2014 to fund technology tools to connect member agency information, avoid duplication, share costs and prevent crime while protecting civil liberties. 

“Over the last seven years, we have successfully developed and commercialized the Lumen product line,” said Jeff PooreNumerica Corporation president. “We are excited for our technology to continue to support the important mission of public safety with expanded capabilities from LexisNexis Risk Solutions. This was a strategic decision to allow an even greater focus on our core security and defense business to better meet current needs within those markets.”

“The CISC Board of Directors and team look forward to this new relationship with LexisNexis Risk Solutions; one that will help our member agencies provide exceptional public safety services to Colorado citizens for many years to come,” said Vince Line, bureau chief, Arapahoe County Sheriff’s Office and CISC board chair.

About Numerica
Founded in 1996, Numerica focuses on creating innovative solutions to the most pressing technical challenges faced by customers in the fields of defense and security. Headquartered in Fort Collins, Colo., Numerica’s rapidly growing team of talented research scientists and engineers tackle data science problems by developing advanced algorithms to power mission-critical defense and security solutions. Numerica’s state-of-the-art technologies have been deployed around the world to integrate networks, fuse data, precisely track targets and quantify uncertainty. Learn more at

About LexisNexis Risk Solutions
LexisNexis® Risk Solutions harnesses the power of data and advanced analytics to provide insights that help businesses and governmental entities reduce risk and improve decisions to benefit people around the globe. We provide data and technology solutions for a wide range of industries including insurance, financial services, healthcare and government. Headquartered in metro Atlanta, Georgia, we have offices throughout the world and are part of RELX (LSE: REL/NYSE: RELX), a global provider of information and analytics for professional and business customers across industries. For more information, please visit, and

Media Contact:
Sara Herrmann

SOURCE LexisNexis Risk Solutions

Accelerated company growth spurs Numerica’s new Colorado Springs office

FORT COLLINS, Colo. (April 2, 2019) —Numerica Corporation has opened a new office in Colorado Springs, a national epicenter for aerospace and defense. Located at 5475 Tech Center Drive, the office will primarily house the company’s growing Space Situational Awareness (SSA) team and serve as the ideal location for its Colorado Springs-based customers.

Headquartered in Fort Collins, Numerica creates innovative solutions to the most pressing technical challenges faced by air and missile defense, SSA, and law enforcement customers. The expansion into Colorado Springs supports the recent launch of the SSA team’s commercial product line that includes data being collected from its global telescope network and processed in real-time to help inform operator action.

“We’re excited to open the Colorado Springs office and solidify our standing as a leader in the air and missile defense as well as space situational awareness industries,” Jeff Poore, Numerica President, said. “This new location will allow us to better serve our customers through commercial space tracking capabilities.”

Leading Colorado Springs operations are retired U.S. Air Force Colonels Todd Brost and Jeff Sherk, both with nearly 30 years of experience leading operations, acquisition, research and development, and test and evaluation of Air Force space programs.

With more than 29 years of experience in Air Force space operations, test acquisition, intelligence and war-planning, Brost was the first director of the National Space Defense Center and will serve as the SSA team’s director of special programs.

Sherk, whose career in the Air Force focused on space superiority, directed energy, hypersonic and missile defense programs, was hired as the SSA team’s director of strategic programs.

With their extensive career backgrounds and in-depth knowledge of the industry, Brost and Sherk will lead business development efforts and support customer engagement.

“Colorado Springs is home to Air Force Space Command Headquarters, the National Space Defense Center, the Defense Innovation Unit, and many other existing and potential customers,” Numerica Vice President Jeff Aristoff, Ph.D., said. “Our new location will enable focused collaboration and facilitate the transition of innovative solutions with our key customers. Our growth has been accelerating over the past few years and with a strategic expansion into Colorado Springs, we expect to see this trend continue.”

For more information about Numerica and current career opportunities, visit

About Numerica: Founded in 1996, Numerica focuses on creating innovative solutions to the most pressing technical challenges faced by customers in the areas of public safety, air and missile defense, and space situational awareness. Headquartered in Fort Collins, Colo., Numerica’s rapidly growing team of talented research scientists and engineers tackle data science problems by developing advanced algorithms to power mission-critical national security and public safety software. The critical SSA mission involves the detection, tracking, identification and characterization of all near Earth-orbiting objects and the prediction of events, threats, and activities in space. Numerica’s state-of-the-art technologies have been deployed around the world to integrate networks, fuse data, precisely track targets, and quantify uncertainty.

Learn more at

Redefine Precision Policing with Lumen

Advancing law enforcement technology, Lumen offers a robust information engine to help identify the “who,” not just the “where” and “when.” In their latest video, Numerica showcases how Lumen works to challenge tedious data mining and put unprecedented levels of information into the hands of those who need it most.

“In policing, every second counts and this video helps show potential users how advanced, yet intuitive, Lumen is for all levels of law enforcement,” said Brian Strock, manager of Numerica Corporation’s public safety group. “Our solution helps narrow from millions of possible offenders to a handful of likely suspects in seconds using simple, but powerful investigative tools.”

With Lumen, users can search internal and cross-jurisdictional data sources to see a simple “baseball card view” of subjects, including information such as past crime history, case reports, known affiliations, addresses, phone numbers, vehicles, and more. Connect your disparate data sources such as ALPR, CAD, public records, intel, file archives, and virtually any other electronic records for a one-stop shop for law enforcement to search, analyze, and share.

Learn more about Lumen HERE.

Introducing the New Lumen Dynamic Scoring Agent

Offender-based policing has been shown to be an effective strategy for crime reduction across the country.  However, a key challenge in such efforts is the problem of identifying which offenders should be targeted for intervention or proactive policing outreach.  Scoring and ranking offenders usually requires extensive manual collation and calculation using databases and spreadsheets.  Because of the labor required to create and maintain an offender ranking and scoring system, the information is often out of date as well.

The Lumen Dynamic Scoring Agent is designed to solve this problem.  It automatically scores and ranks offenders based on their past involvements in events, using live data that is updated continuously.   The results are efficiently scored and ranked at query time so that the user can see the most up to date information on demand.

A significant benefit of the Dynamic Scoring Agent is that the scoring algorithm allows users to incorporate their own preferences at query time, so that the scored and ranked results reflect those user preferences.  This means that the particular crimes of interest to an agency or an individual can be selected and used in the ranking criteria dynamically – the user is not limited to a “canned” ranking that cannot be changed or edited.  For example, a single agency can easily produce separate lists of violent offenders, property crime offenders, and motor vehicle theft offenders (and more) and keep those lists up to date with minimal effort.

Furthermore, offender involvements across disparate data sources from multiple agencies are integrated on the fly, so that the user gets a complete awareness of offender scores and activities, regardless of how many data sources or jurisdictions are involved.  By automatically correlating offender and event data across multiple data sources, the Dynamic Scoring Agent dramatically reduces the time required to produce a top offender list.

Once a ranked and scored list is created, the Dynamic Scoring Agent automatically keeps the list up to date and allows users to see new activity for any offender on the list.  This enables agency-wide offender-based policing strategies to efficiently monitor and adapt as new information becomes available.

Learn more about Lumen HERE.

The Rapidly Changing Landscape of Facial Recognition

See this article in Police Chief Magazine HERE.

Don Wick, Chief (Ret.), Arvada, Colorado, Police Department

Facial recognition is a technology that seems like it will soon be everywhere, from unlocking one’s phone to checking in for a flight at the airport. A fast food restaurant in China now allows diners to “Smile to Pay,” using facial recognition to identify the customer and deduct payment from his or her account automatically.1 Multiple airlines are currently testing facial recognition at some gates to eliminate the need for even an electronic boarding pass.2

As one might imagine, governments worldwide are also adopting facial recognition software. Police in the United Kingdom used a police van equipped with facial recognition technology to recognize and arrest a wanted man on the street.3 The Chinese government is even using it to identify frequent jaywalkers at major intersections.4

Law enforcement professionals in the United States have been using facial recognition for a number of years now. The FBI’s Next-Generation Identification Interstate Photo System (NGI-IPS), for example, first operated as a pilot program in 2011 before becoming fully operational in 2016. Part of a larger biometrics system the FBI runs that will cost over $1 billion to fully deploy, NGI-IPS contains more than 30 million photos that can be searched using facial recognition technology.5

Many state and local agencies have procured their own solutions as well, but deployment has typically been limited to only the largest agencies due to budgetary constraints. However, with the rise of new facial recognition technology that is both more affordable and better than what came before, law enforcement agencies that previously could not afford it might now be able to acquire their own facial recognition solutions. They might also be able to deploy the technology in ways that were previously impossible, such as on a mobile phone, body camera, or dash cam.

Facial Recognition FAQs

Before acquiring facial recognition technology, agencies should understand what the technology is capable of and how it can be used, including the answers to these common queries.

What is facial recognition?

Facial recognition uses image processing and machine learning algorithms to match a photo of an unidentified person (a “probe” photo) against a database of photos of identified persons. Most face identification algorithms will typically produce a list of possible matches, with each match having a score that indicates the quality or likelihood of a match.

Low resolution, poor lighting, motion blur, glare, off-angle faces (tilted, turned to the side, looking up or down), facial hair, glasses, hats, and other details of the probe photos can challenge algorithms to produce a good match. Advances in technology based on algorithms such as “deep learning,” however, have produced significant gains when processing challenging probe photos. The best systems will likely surpass human capabilities for facial recognition in the near future.

What is face detection?

In face detection, the algorithm attempts to detect faces in an image, without necessarily identifying whose face it is. It may also locate features, such as eyes, nose, mouth, and ears; detect the presence of beards, mustaches, eyeglasses, and hats; and identify gender, race, approximate age, and emotional state. This can be used for many different purposes, including gathering statistics on a large group of people (such as visitors to a building), measuring the reaction of people to a new product, or even determining the possible intent of individuals in a crowd. Many facial recognition algorithms are capable of face detection as well.

What are the law enforcement uses of facial recognition and face detection technology, and how does the public perceive them?

Public perception is an important aspect to consider whenever new technology becomes available to law enforcement. Even though the technology may be perfectly legal when used in appropriate circumstances, lack of information or even misinformation can cause a negative reaction on the part of the public. As a result, it is important for law enforcement decision makers to fully understand the spectrum of possible uses of the technology, as well as how the public may perceive those uses.

The simplest and most common use of facial recognition software is to search a database of known offenders for matches of an unidentified suspect in a criminal incident. A prime example of this is a security camera video image of a suspect shoplifting at a retail store. Detectives confront similar scenarios on a regular basis and often have little evidence to go on other than the video and perhaps an eyewitness who might not remember much. However, it is unlikely that even the best facial recognition system would generate just a single match from a security camera photo. Instead, the system will generate a list of possible matches, and the detectives working the case will need to use standard investigative methods to either rule out or further investigate each match, as they would with any investigative lead.

Facial recognition holds the promise to generate leads on a great many such cases that might otherwise go unsolved. Each case might not be especially high profile, but, in aggregate, these cases represent a staggering amount of criminal activity. Given that, even a modest increase in closure rates would be significant. Shoplifting, for example, generates billions of dollars in losses every year in the United States, where there are estimated to be almost a million “professional” shoplifters operating, including international shoplifting rings. Stopping even a single shoplifter could prevent tens of thousands of dollars in future theft.

There are numerous other examples of rarer but higher profile crimes, ranging from terrorism to mass shootings to kidnapping cases, in which the only initial clue to the suspect’s identity was a security camera photo. Although the cases are different, the use of facial recognition in these cases is essentially the same: identify an unknown suspect by searching a photo against a database of known offenders.

As facial recognition technology advances, however, other uses may become more widespread. Potentially, these could include the following capabilities:

• Match an unidentified suspect photo obtained in association with a criminal incident with a state database of driver’s license photos.
• Match a photo taken with permission (of a suspect or field contact, for example) using an officer’s smartphone with a database of driver’s license or jail booking photos.
• Search in real time to match people entering a courthouse with a database of wanted person photos.
• Perform a real-time search of airport travelers to match with a database of known terrorists.
• Search in real-time from a vehicle-mounted camera to match passersby with a database of wanted person photos.
• Search in real-time from a vehicle-mounted camera to match and record the likely identity, time, and location of passersby using a database of driver’s licenses and state identification photos.

Many of these capabilities are already a reality today. The key differences between all of these uses come down to two questions: (1) Where and how did law enforcement obtain the probe photo? (2) Where and how did law enforcement obtain the database of photos?

The easiest scenario to explain to the public is when both the probe photo and the database are obtained in direct association with criminal activities. If the probe photo is a security camera image and the database is a set of jail booking photos, for example, even the most ardent privacy rights advocate would probably find this use acceptable. If the probe photo is of a person with no known or suspected criminal activity and the database is also a non-criminal database, however, one can imagine the potential for public outcry.

By comparison, consider some possible uses of facial recognition in commercial environments, which are already a reality today:

• Pay at a fast-food restaurant.
• Automate driver check-in for ride-sharing services.
• Check in for a flight without a boarding pass.
• Automatically identify known customers in a retail store, storing their browsing habits, attention, and estimated emotional state for later analysis.
• Automatically identify known shoplifters or disgruntled former employees in a retail store and alert store security.

While commercial firms do not have the law enforcement powers of government, they also do not operate under the same legal framework or strictures as a government. As a result, they can often engage in practices that would be inadvisable or even illegal for a government entity. Several of the examples above illustrate this point clearly. When considering facial recognition technology for a law enforcement agency—and when answering questions from the public on how an agency uses such technology—it can be useful to understand the extent to which commercial firms are racing far ahead of many governments.

Can facial recognition be used in the cloud?

Finally, as more agencies move to using cloud solutions to reduce costs and improve reliability, it is natural to ask if facial recognition can be done in the cloud. Facial recognition used to require an on-premise deployment on an agency’s own servers, but that is no longer the case. More and more providers of facial recognition software offer their solutions in a cloud deployment, which means that there is no software to install and no servers to manage. The key questions to address are how secure the cloud provider is and what the provider’s stance is with respect to CJIS compliance (in the United States) or applicable regulations in the agency’s country. There are multiple cloud providers today offering facial recognition in a CJIS-compliant cloud environment.

Clearly, facial recognition software has come a long way and can play a critically important role in law enforcement in the future. Therefore, it is essential for law enforcement agencies to take proper precautions, both in purchasing and using this technology. Preparing the public for how facial recognition software works, what it can (and can’t) do, and how it can have a positive impact on reducing crime will go a long way toward creating an atmosphere of cooperation and trust.

Don Wick recently retired as chief of the Arvada, Colorado, Police Department. He currently serves as director of operations at Numerica Corporation, where he focuses on Lumen, Numerica’s law enforcement search, analysis, and data sharing platform.

1 “Just Smile: In KFC China Store, Diners Have a New Way to Pay,” Reuters, September 1, 2017.
2See, for example, Laura EntisJetBlue and Delta Are Testing Facial Recognition and Fingerprints to Replace Boarding Passes,” Fortune, June 1, 2017; Sean O’Kane, “British Airways Brings Its Biometric Identification Gates to Three More US Airports,” The Verge, March 9, 2018.
3Nick Summers, “UK Police Make First Arrest Triggered by Facial Recognition,” Engadget, June 6, 2017.
Christina Zhao, “Jaywalking in China: Facial Recognition Surveillance Will Soon Fine Citizens via Text Message,” Newsweek, March 27, 2018.
FBI, Criminal Justice Information Services, “Next Generation Identification (NGI).”
6 Read Hayes, Organized Retail Crime Annual Report, 2008.

Numerica Awarded GSA Contract

Numerica Corporation – which develops intuitive law enforcement database software, crime analysis software, and analytics – announced today that it has been awarded an Information Technology Schedule 70 contract by the General Services Administration (GSA).

The GSA is the premier procurement arm for all federal government agencies. Under the new contract, federal, state, and local government agencies will be able to access Numerica’s solutions via GSA Advantage!®, the government’s electronic online ordering system, at

Through GSA contract number 47QTCA18D00AB, Numerica will offer its Lumen Desktop, Mobile, and Enterprise solutions, as well as professional services and training, to government agencies.

Lumen Desktop provides a powerful, but easy-to-use interface to rapidly focus criminal and intelligence investigations and analysis on the most relevant people, places, and events.  Lumen Desktop users can also search, analyze, and share data, produce photo lineups, automatically create link charts, and map disparate data sources. Lumen Mobile is a simple mobile interface which enables patrol, detectives and other officers in the field to quickly and easily find information related to any entity from a smartphone or tablet.

The entire Lumen suite of solutions is compliant with the FBI’s Criminal Justice Information Services (CJIS) Policy.

“We are extremely proud to be awarded the GSA certification,” says Nick Coult, Senior Vice President of Law Enforcement at Numerica. “While Numerica has grown exponentially over the past few years, the GSA contract will take us to a whole new level, expanding our government business while we continue to provide our clients with exceptional solutions and service.”

For more information about Lumen and Numerica Corporation, visit

See Numerica at the 2018 Navy FST Event

Come see us at the Department of the Navy FST event this week! Stop by booth 103 in the Woodrow Wilson room to see the latest in Numerica’s Air & Missile Defense and Space Situational Awareness solutions.

See Lumen at LEIU/IALEIA in Anaheim

We’ll be in Anaheim for the 2018 LEIU/IALEIA Training Event this week. Make sure to stop by Booth 110 to see the newest solutions from Lumen that are transforming investigations and offender-based policing.

Case Study: How the Mesa County Sheriff’s Office Used Lumen to Implement an Intelligence-Led Approach to Policing to Reduce Preventable Crime by 31% in High-Crime Areas.



The Mesa County, Colorado Sheriff’s Office was experiencing a marked increase in crime, particularly in the areas of property crime, homicide, and sexual assault. The office also recognized that there was a significant gap between the data contained in its information management system and the information that was readily available to its deputies on the street.


  • Increase the use of crime-related data
  • Change the way the office was visualizing criminal activity
  • Track criminals (and the crimes they commit) as they travel from jurisdiction to jurisdiction


  • Used modern web technology to bring all of the office’s data sources into a single, integrated system
  • Offered Lumen mobile and desktop applications to make crime-related data searchable, readily accessible, and easy to use
  • Changed the way the office was looking at criminal activity by enabling it to track and overlay data, identify trends and “hot spots” for criminal activity, and track criminal movement


  • Drove the office’s response to crime by allowing it to shift to a more intelligence-led approach to policing, which allowed patrols to connect data to crimes and gather information in real-time
  • Produced a 31% reduction in property crime in high-crime areas
  • Reduced calls for service, enabling the office to give more attention and staffing to geographic areas in which criminal activity was the highest

“Lumen has fundamentally changed our Sheriff’s Office and the way we look at crime.”
“Lumen has driven our response to crime, revolutionizing the way we handle day-to-day activities.”

-Sheriff Matt Lewis