Robert Dillon was arrested at his home in Fort Myers, Florida, based on a 93% probability match from facial recognition software. The algorithm flagged him as a suspect in a child luring case at a Jacksonville Beach McDonald's, a location more than 300 miles away.
The problem was simple: Dillon had never been to Jacksonville Beach in his life, and he lived a five-hour drive from the restaurant. When detectives questioned him, he denied any involvement. The charges were eventually dropped last year, but now Dillon is suing the Jacksonville Beach police department, the Jacksonville sheriff's office, and Pinellas County Sheriff Bob Gualtieri, whose agency maintains and operates the Faces (Face Analysis Comparison and Examination) facial recognition system used by multiple law enforcement agencies.
The lawsuit, filed Tuesday on Dillon's behalf by the American Civil Liberties Union in Fort Myers district court, alleges that the 52-year-old endured wrongful arrest and prosecution based on faulty technology. Dillon was arrested in front of his wife on a charge carrying devastating social stigma. He spent months facing criminal prosecution and remains saddled with a mugshot still circulating online even after exoneration.
"He no longer feels comfortable being friendly to children," the ACLU stated in court filings. "No law enforcement agency has ever apologized or acknowledged the error."
According to the lawsuit, Dillon's case is at least the 15th nationally involving a person charged or arrested after a false facial recognition identification.
The Investigation That Bypassed Evidence
The legal complaint paints a damning portrait of investigative shortcuts. Scott O'Connell, Jacksonville Beach police's lead investigator, allegedly withheld multiple categories of exculpatory evidence from the arrest affidavit. License plate readers showed none of Dillon's vehicles were ever near the McDonald's. Yet this finding never made it to the magistrate who signed the arrest warrant.
The lawsuit also alleges O'Connell concealed that the photograph submitted to the Faces software was a low-resolution screenshot grabbed from security footage on an officer's cellphone, not a proper digital upload from the actual recording. A McDonald's employee who picked Dillon from a six-person photo lineup claimed he was a "regular customer" at her restaurant who had visited multiple times. O'Connell knew this claim was impossible given Dillon's residence hundreds of miles away, yet failed to challenge it before seeking the arrest warrant.
"Rather than test the machine's answer against the evidence that would have cleared him, the officers built a case to confirm it," the ACLU wrote in the lawsuit.
Nate Freed Wessler, deputy director of the ACLU's speech, privacy, and technology project, said the departments involved owe Dillon accountability and systemic reform. "Police across the country are on notice: Unreliable face recognition technology is hurting people, and we will keep fighting to hold them accountable for these abuses," Wessler said.
Dillon's case is not isolated. In a similar incident reported earlier this month, Jalil Richardson of Charlotte, North Carolina, was extradited to Jacksonville and spent nearly three months in jail after facial recognition placed him at a car theft scene. Timecards proved he was at work 400 miles away when the theft occurred.
Dillon said he remains traumatized by the experience. "Over a year later, I'm still picking up the pieces of my life, all because the police relied on this dangerous technology instead of doing their jobs and actually investigating," he said. "Florida police must implement safeguards and ensure this never happens to anyone else, because until they do, nobody is safe."
Author James Rodriguez: "When a 93 percent match from a machine becomes a substitute for basic detective work, the system has failed completely, and it's the innocent who pay the price."
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