In August 2024, 52-year-old Robert Dillon was arrested after police said he tried to lure a child at a McDonald’s in Jacksonville Beach, Florida. The arrest came after the Jacksonville Sheriff’s Office fed surveillance photos of the suspect into an AI-powered facial recognition tool, which said it was 93% certain the man in the photos was Dillon. But Dillon, a commercial crabber who lives in Fort Myers, had never been to Jacksonville Beach, more than 300 miles from his home. And it wasn’t him who approached a child at the McDonald’s. Download the SAN app today to stay up-to-date with Unbiased. Straight Facts™. Point phone camera here Now Dillon is suing multiple law enforcement agencies, saying their reliance on a faulty facial recognition match led to his wrongful arrest. Although prosecutors dropped the charges and the arrest was wiped from his record, Dillon argues the incident caused considerable damage both mentally and financially. “The night I spent in jail after they arrested me for a crime I did not commit still haunts me to this day,” Dillon said in a statement. “I will never get over how terrified and worried I was, wondering if I’d ever go home to my wife and daughter again. 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.” The American Civil Liberties Union says Dilllon is the 15th person known to have been falsely arrested because of facial recognition in the U.S. Among them was an Oklahoma woman who filed a lawsuit earlier this year after a faulty facial recognition match caused her to spend a combined 6 months in jail in two states. Evidence allegedly withheld After the facial recognition match, an employee