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 recognition unit, I have acquired the skills and necessary first-hand experience on best practices for facial recognition in public safety. Our success was driven by our facial recognition unit establishing a defined workflow to help us develop strong investigative leads and close cases faster. Analyzing thousands of different types of facial images required system users to analyze, vet, and perform efficient searches. Doing so generated positive results with little to any false positives. While I am a strong advocate for this technology, I am a stronger advocate for best practices in facial recognition technology.

The following diagram takes you through an investigative workflow using facial recognition. Following these recommendations will serve any agency as a guideline when facial recognition technology is used in criminal investigations.

facial recognition work flow

 

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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