A 93% police face match in Florida sent a Fort Myers crabber to jail after a child-luring case, but the arrest is fueling a bigger fight over one of the oldest facial-recognition systems in the US Synopsis Robert Dillon was wrongfully arrested after facial recognition software flagged him for a crime committed hundreds of miles away. This incident highlights the dangers of relying on AI for law enforcement, as a grainy photo led to an arrest warrant based solely on the technology's output. The ACLU lawsuit underscores the need for caution with these error-prone tools. How one grainy photo led to a wrongful arrest Police responded to reports of an attempted child abduction at a Jacksonville Beach McDonaldâs in November 2023. One witness said a man tried to persuade a girl under the age of 12 to go away with him. According to Reason magazine, the responding officer didnât even get a copy of the security footage; he just took cell phone pictures of the surveillance screen. Weeks passed with no leads. The investigating officer compared the photos to booking records and the sex offender registry but found no matches. Eventually, he sent the photos to other agencies for help, and thatâs when an investigator ran them through facial recognition software, which flagged Dillon. A police report reportedly said the software returned the match with high confidence. From there it was all downhill. According to the ACLU's official statement, Jacksonville Beach police based their arrest warrant solely on that facial recognition hit and a statement from a restaurant employee who picked Dillon's photo from a lineup. The issue? Dillon lived hundreds of miles away. Investigators even ran a license plate reader database, the suit says, which showed no sign of Dillonâs vehicles anywhere near Jacksonville Beach in the 48 hours