Pennsylvania's criminal justice practitioners use JNET to perform their jobs more effectively and efficiently, which translates into improved public safety. Below are a few success stories received from the JNET user community:
A PA State Police communications perator used JNET to pull information for an Amber Alert. The operator received a call about a missing seven year old boy who was reportedly abducted by a neighbor. Using JNET, the operator was able to quickly pull an image of the suspected abductor and images of the abductor along with an image of the child were sent out with the Amber Alert. The missing child was found alive and the suspect was arrested and prosecuted.
JNET was used by a detective to locate a co-conspirator in a series of armed robberies at several fast food restaurants. A suspect was arrested and, during the investigation, a co-conspirator was identified. The detective needed to determine the co-conspirators address in order to serve a search warrant. A search of regular police records systems as well as PennDOT only produced old addresses. JNET Address Search results included a current address from the Department of Human Services. A search warrant was served and critical evidence was discovered.
The US Marshals Service Fugitive Task Force used JNET to help identify a suspect. While serving a warrant on a federal fugitive the individual stated he was recently released from prison and did not have a photo id. An officer from the task force accessed JNET and was able to confirm that the name the suspect provided was false. After further questioning the individual provided another name and the officer pulled up a photo and confirmed the individual’s identity. Prior to having mobile access, the officers would have had to transport the subject to the local county jail to be fingerprinted to confirm identity.
A police officer accessed JNET from his patrol car to verify an individual’s identity. The officer stopped a vehicle for speeding. The driver had no identification but provided a valid name, address and DOB. The results from a secondary search in JNET’s Photo Search proved that the name the individual provided was obviously false. When confronted with this information the individual admitted to giving false information and was arrested for not having a valid license, providing false information and speeding.
A police detective used facial recognition to identify a shooting suspect. The victim was shot several times but survived. The detectives were able to identify two suspects. One suspect was well known by law enforcement however, they only had a nickname of the second suspect. The detectives interviewed a witness who gave them access to a Facebook page that had a photo of suspect but not his real name. The detective ran the Facebook photo in the facial recognition application and came up with a candidate who was confirmed through further investigation.
Detectives used JNET to aid in the identification of an arson suspect. A witness observed an unknown person standing next to a car that was on fire and provided a physical description of the suspect to detectives. JNET was used to run the automobile tag and to lookup the owner’s photo and description which was similar to the witness description of the subject. Officers went to the vehicle owner’s residence and after no answer at the door they observed an individual fitting the description of the suspect walking down the street. Officers approached the suspect who fled to the residence mentioned above. Officers stopped him and noticed a heavy odor of smoke and observed that his beard and mustache was singed. A key for the burned car was in the suspect’s pocket. The suspect was taken into custody.