VIGILANT FACESEARCH™

Vigilant Solutions’ facial recognition technology utilizes biometric algorithms of facial landmarks to find potential matches to help law enforcement develop strong investigative leads.

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Images and analytics power investigations

We support agencies of all sizes, providing more images, better recognition, and faster results.

Your open cases & actions

Our analytics & data insights

Investigative leads

Closed cases & resolved actions

Use on any platform
Access Vigilant’s facial recognition technology through mobile devices, web browsers or desktop applications to quickly upload and process images to the agency gallery, manage watchlists and receive alerts important to your assignment, and search against a gallery to identify potential matches.
Retain and use probe images of any quality
Breakthrough pre-processing tools give agencies the ability to utilize high and poor-quality probe images from social media, doorbell cameras, cell phones and CCTV cameras
Quickly analyze over 350 facial vectors
We continue to refine and innovate to deliver more accurate recognition results.
Compare images to Vigilant’s gallery
Go beyond jurisdictional boundaries and your local agency gallery and utilize Vigilant's robust, nationwide gallery that is growing every day.
Share data nationwide with other agencies
Easily share data among agencies nationwide to accelerate investigations and increase case closure rates.
Host in the cloud
Increase the likelihood of potential matches by uploading your agency gallery and eliminate the need for servers.

How facial recognition works

While our facial recognition solution and analytics deliver possible matches,
it is up to the agency to examine the matches and apply standard investigative protocol to confirm a possible match.
1.

Gallery created by capturing or uploading mugshots

2.

Probe image is uploaded to the facial recognition application

3.

The algorithm creates a face print of the probe image

4.

Facial recognition compares the probe image against the gallery

5.

Facial recognition application returns a list of potential matches

6.

The potential matches are reviewed by a face examiner and submitted for peer review

View glossary of facial recognition terms

Terms to Know

This page will go into great detail on the facial recognition process and how you can leverage it to generate leads for your agency. For background, here are some important terms for you to know:

  • Facial Recognition: An application that uses biometric algorithms to detect multiple landmarks and measurements of a face that may be compared to a gallery of known images to find potential matches.
  • Facial Identification: The manual process (the human aspect) of examining potential matches from facial recognition, looking for similarities or differences.
  • Face Print: A digitally recorded representation of a person’s face that can be used for identification of the person based on unique characteristics. Also known as a Face Template.
  • Algorithm: A process or set of rules to be followed in calculations, or other operations, which is set by a computer. In facial recognition the algorithms are rules on how to read a face.
  • Gallery: Any database of known images. Gallery images can come from a number of sources, including mugshots, watchlists or hotlists.
  • Probe Image: Any unknown image captured for facial recognition. Probe images can be taken by an officer in the field using a camera or mobile phone or from other sources such as security and CCTV cameras.
  • Gallery Image: An image from an existing facial recognition database. Once a probe image is run through the facial recognition system, it is manually compared to gallery images to identify potential matches.
  • Controlled (Constrained) Images: Images with good lighting, frontal face positioning, high resolution, and acceptable distance from camera (examples: taken by a field officer, kiosk station, identification card photos). Controlled images are optimal for facial recognition matching.
  • Uncontrolled (Unconstrained) Images: Images with poor lighting, poor poses (looking down or up, and certain profile captures), low resolution, heavily pixelated, overexposed, underexposed, subject is too far away, fisheye camera captures, distorted or skewed images, pictures or recordings of a screen, photocopies with excessive noise, or occlusion (blocking any part of the face).

Vigilant’s Policy-based Approach to Facial Recognition

Law enforcement agencies use Vigilant FaceSearch to solve crimes, such as murder, rape, robbery and other violent crime. Additionally, law enforcement uses the technology for various non-enforcement reasons, including identifying elderly persons stricken with dementia, finding lost and missing children, identifying homeless persons with mental illness and identifying deceased persons.
  • The goal Vigilant FaceSearch is to help law enforcement to generate a strong investigative lead, not to definitively conclude that a face matches an identity. Facial recognition matches should never be the sole basis for probable cause or the sole grounds for arrest. Probable cause for an arrest must be established by other investigative means.
  • Vigilant FaceSearch software is one component of a very human-centered facial examination process that helps law enforcement to identify possible leads to investigate and solve crime.
  • Vigilant strongly recommends and encourages agency face examiners engage in a five-step workflow with a focus on human and peer analysis of the candidates identified by Vigilant FaceSearch before conducting further investigation of possible candidates identified by it.

Vigilant provides a comprehensive and policy-based approach to facial recognition

Learn More

Get the tools and answers you need

Compare your images against Vigilant’s gallery, which currently houses millions of images.
Start developing leads and solving more cases with Vigilant FaceSearch.

Facial recognition for video
Extract images from video clips acquired in your investigations. Select the best still image and import it directly into the software for searching against any gallery.
Reporting for case files
Output specialized reports detailing matches or other dispositions to include in your case files. Send images into your agency “No Match Gallery” and receive alerts when the image returns a possible match at a later time.

Learn how to generate leads using facial
recognition technology

Sign up for training at the Vigilant Law Enforcement Academy

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Success stories

Facing the Facts About Biometric Facial Recognition Technology

Roger Rodriguez -
I recently spoke at the Biometrics for Government and Law Enforcement conference in Washington, DC. The more I speak at these events and around the country at our Lunch and Learn events, the more...

Five Recommended Best Practices for Your Facial Recognition Investigative Workflow

Roger Rodriguez -
Capturing good probe images, enhancing lower quality images, facial analysis, two-tier verifications, and identifying your possible match. During my tenure working as a lead detective in the New York City Police Department's first dedicated facial...

Best Practices to Prevent Facial Recognition Misuse and Bias

Roger Rodriguez -
Combat False Narratives with These Investigative Processes The report issued by the Center on Privacy and Technology at Georgetown Law Center on October 18, 2016, makes alarmist claims about the use of facial recognition technology...

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