Man jailed due to faulty face recognition says Florida cops ignored other evidence

A Florida man is taking legal action against local law enforcement, alleging that officers relied on an inaccurate facial recognition match while dismissing crucial evidence that could have exonerated him. Robert Dillon was arrested in August 2024 on charges of attempting to lure a child, based on a facial recognition system that identified him as a 93 percent match to a suspect captured in a McDonald's surveillance video. "This case underscores the dangers of allowing an unreliable artificial intelligence system to replace thorough police investigations," stated Dillon's lawsuit filed in US District Court for the Middle District of Florida. The suit emphasizes that Dillon, a 52-year-old resident of Fort Myers, had never visited Jacksonville Beach, where the alleged incident occurred. Instead of verifying the machine's findings with available evidence that could have cleared him, law enforcement allegedly focused on building a case against him. Dillon's residence is more than 300 miles from the crime scene, and a review of license plate reader data revealed no indication that he was in the area at the time of the alleged crime. The lawsuit points out that the facial recognition identification was based on a poor-quality image taken from a computer screen displaying video surveillance footage. Among the parties named in the lawsuit are the City of Jacksonville Beach, several police officials, and the Pinellas County Sheriff’s Office, which operates the Face Analysis Comparison and Examination System (FACES) used for facial recognition. The Jacksonville Sheriff’s Office has access to this database and utilizes it for searches in collaboration with other agencies, including the Jacksonville Beach Police Department. The case raises significant questions about the reliability of facial recognition technology in criminal investigations and the implications of its misuse.