Could the FBI See Your Selfies?

Court case may enable FBI to request more photos for new facial recognition database.

Investigative Database - FBI Can See Your Selfies?

Investigative Database – FBI Can See Your Selfies?

The FBI could have 52 million face images on file by 2015, according to new research.

Article Courtesy of:  U.S News – By 

U.S. News & World Report

The FBI is preparing to launch a facial recognition database this summer that includes photos of people without criminal records- and a court case in New York may expand the ability of the government to request data from Facebook to help.

The bureau’s database, called the Next Generation Identification system, or NGI, builds upon the government’s fingerprint database and is slated to be operational this summer, according to the FBI.

This database will contain photos of anybody who sends images as part of an application for a job that requires fingerprinting or a background check – even if that person has no criminal record – according to research by the Electronic Frontier Foundation, a digital privacy advocacy organization. The FBI is slated to have 52 million face images by 2015, according to the EFF.

Facebook, by comparison, processes more than 350 million new images each day from its 1.28 billion monthly active users. The social network’s friends lists and group pages also make it easier for the company to narrow down possible results when helping customers tag photos using facial recognition.

Facebook’s DeepFace facial recognition system has a 97 percent level of efficiency, which any government surveillance network would envy.

That’s even better than the FBI’s new system, which so far promises an 85 percent chance of identifying a suspect from a photo, according to the EFF.

The social network is appealing a court case from 2013 that might allow the FBI the chance to request some of the facial recognition information as it uses biometrics to follow targets.

Last year a New York judge ordered Facebook to turn over nearly all of the social network’s account data on 381 people, including pages they liked, their messages – and perhaps most dangerously – their photos. Facebook is arguing this broad use of warrants for data requests violates the Fourth Amendment freedom from unreasonable searches by the government. The warrants led to 62 charges in a disability fraud case but the government may keep the seized data indefinitely.

“Facebook says its face recognition system uses…”

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Biometrics, Iris Recognition, Video Analysis & Predictive Software – “Most Wanted Police Tech 2014″

Embracing the Police Force of the Future

Article Courtesy of:  CNN

BGer Daly – Article Courtesy of: CNN

Predictive Policing Data Analysis Software


  • Police forces around the world are fighting crime with new data-mining tools
  • San Diego’s streetcars have video analytics that can spot suspicious behavior
  • Major crime in Memphis fell 30% with software to predict where crimes might take place
  • Next on the horizon for law enforcement: biometrics, including facial recognition

(CNN) — Contrary to the Hollywood image in movies like “Minority Report,” technology hasn’t served law enforcement particularly well over the years.

Fragmented and complex operating systems have challenged police officers to manually enter information into multiple programs. And yet officers still struggle to retrieve the information they need — especially in the field, where it can be a matter of life or death.

A large number of law enforcement agencies are still hindered by antiquated technologies. But agencies that have upgraded their operating and investigative systems have been tremendously effective in ensuring the safety of their citizens. Police forces like the Guardia Civil in Spain and An Garda Siochana in Ireland were early technology adopters and now benefit from some of the most efficient police operations and investigative systems in the world.

These are the police forces of the future — the ones that others will be modeling themselves after in the years to come.

Accenture recently studied police forces from around the world and found that in every region, police are hungry for new technology. They see tech such as analytics, biometrics (identification of humans by their characteristics or traits) and facial recognition as keys to effectively fighting crime and maximizing the time officers spend in the field.

Despite the reality of reduced budgets, law enforcement agencies that adopt new technologies can prevent crimes more effectively and solve crimes faster.

ACLU raises privacy concerns about police technology tracking drivers

Video Analytics

Predictive Policing Video Analysis

What many people don’t know is that there’s a solid infrastructure of closed-circuit TV in most cities. Historically, these CCTV cameras — both publicly and privately owned — have been used retrospectively to examine crime scenes for evidence.

Images from street cameras along the Boston Marathon route helped identify the two bombing suspects there last April.

In California, the San Diego Trolley Corporation now safeguards light-rail passengers with a video-analytics system that can alert security guards when it spots suspicious behaviors, such as an unmarked vehicle in a pedestrian zone.

Cities such as London and Singapore also are testing pilot programs to apply predictive analytics to video feeds. Singapore’s government and economic leaders recently launched a one-year “Safe City” pilot program to bring automated analytics to existing CCTV infrastructure across the city. The program will apply predictive analytics to video feeds to detect which of a multitude of street incidents, such as crowd and traffic movements, pose real concerns for public safety.

These video feeds also will identify environmental threats to public safety, such as fire or flooding, as they arise. When a serious incident is identified, an alert will be sent to the authorities.

This program enables real-time information sharing and will give law enforcement deeper insight into public safety across Singapore’s densely populated urban landscape. It also will increase police ability to anticipate and respond to incidents as they occur.

Police embracing tech that predicts crimes

Data Mining & Predictive Analytics

Data Mining & Video Analysis

Other cities are using statistical analysis and predictive modeling to identify crime trends and highlight “hidden” connections between disparate events.

This helps police gain a more complete picture of crime, predict patterns of future criminal behavior and identify the key causal factors of crime in their area.

Police in Richmond, Virginia, adopted an advanced data-mining and predictive-analytics program in 2006 in an ambitious campaign to reduce crime. In the first year of use, the city’s homicide rate dropped 32%, rapes declined 19%, robberies fell 3% and aggravated assaults dropped by 17%.

Police in Memphis, Tennessee, also applied predictive analytics — which relies on data-analysis software to predict where crimes will likely take place — and saw immediate results. Serious crime in that city fell 30% between 2006 and 2010. Such technology also has been hailed for helping to lower crime rates in Los Angeles since its introduction by the LAPD in 2011.

And Lafourche Parish, Louisiana, uses an analytics model that brings together location-based crime and traffic-crash data to develop effective methods for deploying law enforcement and other resources. Using geo-mapping to identify “hot spots” — areas with high rates of crimes and car accidents — the parish saw the number of fatal drunk-driving crashes fall from 27 in 2008 to 11 in 2009, with a corresponding increase in drunk-driving arrests.

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Article Courtesy of:  CNN

By Ger Daly – Article Courtesy of: CNN