Facial recognition technologies have long been a frustration for police investigators.  The reality has never really quite lived up to the hype.  As a 20-year veteran of the NYPD, with five of those years spent working as a facial recognition analyst, I have experienced first hand the pros and cons of facial recognition.

    I was part of a team that achieved real, tangible public safety results for our agency and the community we serve. Alternately, I have personally felt the frustration when facial recognition was not capable of revealing the leads we needed to solve crimes.

    But, times are changing.  The main issue – poor image quality (aka uncontrolled images) — that has hampered the success of facial recognition can now be solved.  Traditionally, uncontrolled images meant dead ends.  If an image wasn’t up to snuff, I couldn’t conduct one search against existing images to help pare down possible suspects.

    Today, however, the facial recognition process is evolving thanks to breakthrough techniques and tools that we have created.

    A combination of science and art, our new enhancement suite offers your agency the ability to generate investigative leads from uncontrolled images. These low-quality images are enhanced using a variety of graphic design techniques to meet the criteria for facial recognition searching. Images that were previously impossible to process can now result in possible matches.

    Characteristics that can be enhanced include:

    • →Poor lighting.
    • →Poor subject poses. The subject is looking down or slightly up and certain profile image captures.
    • →Low resolution (not all low resolution images can be processed).
    • →Heavy pixilation.
    • →Overexposure
    • →Some Fish Eye captures.
    • →Some distorted or skewed images.
    • →Occlusion or blocking of any part of the face.

    In the past these issues would make an image unusable. The good news is we have developed a process that allows investigators to enhance images.

    Download the complete whitepaper to read my tips and tricks for pre-processing images and learn how facial recognition can be used by agencies of all sizes to develop leads.

    Science of Facial Recognition

     

    Roger Rodriguez
    Roger Rodriguez joined Vigilant Solutions after serving over twenty years with the NYPD where he spearheaded the NYPD’s first dedicated facial recognition unit and helped start up the Real Time Crime Center. Both are recognized as world models in law enforcement data analytics and facial recognition used in criminal investigations. Today, Roger drives the Facial Recognition, License Plate Reader, and Mobile Companion product lines for Vigilant Solutions as Director of Business Development. As subject matter expert and author, he shares his experiences through thought leadership presentations, media interviews, publications, and hundreds of law enforcement agencies around the world have benefitted from them.
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