Police often capture suspects in a photo or on surveillance video, but an image alone isn't enough to make an arrest; investigators need to put a name to the face. More than 39,000 county, state and federal justice professionals were already using the Pennsylvania Justice Network (JNET) to conduct secure investigations in a Web-based environment. JNET is an integrated portal that provides authorized users with access to public safety and criminal justice information compiled by federal, state and local sources.
But JNET couldn't help investigators who only had a photo. So the Commonwealth of Pennsylvania Justice Network developed the JNET Facial Recognition System (JFRS) to help those investigators identify individuals in photos or videos. JFRS uses the distinct measurements of each person's facial features to compare an image of an unknown individual with images stored in the Commonwealth Photo Imaging Network (CPIN), which has more than 3.5 million photos of individuals who have been arrested by police. The system creates a facial plate from each photo when it's entered into CPIN, which provides a uniform platform with centralized quality control for capturing, storing and processing images.
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