face recognition<\/a> match that was inaccurate, according to a lawsuit filed on Wednesday, even though he lived more than 300 miles from the scene and says he had never set foot in the city where the crime took place.<\/p>\nRobert Dillon, a 52-year-old commercial crabber from Fort Myers, was arrested after FACES\u2014a face recognition system operated by Florida\u2019s Pinellas County Sheriff’s Office\u2014matched his face against a photo of a man on a computer screen taken with a cellphone. The system returned a \u201c93 percent match on facial features,\u201d according to police investigatory notes. The scores it emits represent how much two images look alike to the algorithm. Not how likely it is that they show the same person.<\/p>\n
FACES holds tens of millions of Florida mugshots and driver’s license photos and is one of the longest-running police face recognition databases in the United States.<\/p>\n
The American Civil Liberties Union, which filed the suit, says Dillon was arrested at his home in front of his wife, held overnight in a cold cell, and transported in a caged, unlit van. He pledged the title to his truck to make bond. The arrest came during peak stone crab season, causing him to fall behind on rent and nearly lose his home. His mugshot stayed online for nearly a year, removed from the county website only after a TV reporter intervened.<\/p>\n
Strangers approach Dillon in public to ask about the case, the complaint says, and he no longer feels comfortable talking to children.<\/p>\n
The incident took place shortly before midnight on November 2, 2023, at a McDonald’s in Jacksonville Beach, where a man allegedly approached a girl under 12 and repeatedly asked her to leave with him. She refused. After he approached her a second time, she called for her mother. The man left before the police arrived.<\/p>\n
The complaint lays out several facts that pointed away from Dillon and never reached the judge who signed the warrant for his arrest. A manager at the McDonald’s told investigators the suspect was a \u201cregular customer\u201d she had seen there multiple times. According to the complaint, Dillon had never visited Jacksonville Beach, living hundreds of miles away.<\/p>\n
A Jacksonville Beach police officer assigned to the case sent an attempt-to-identify bulletin to surrounding agencies later that November using cellphone photos of the McDonald\u2019s surveillance footage. A sergeant with the Jacksonville Sheriff’s Office (JSO) ran the images through FACES and sent back the \u201c93 percent match\u201d to Dillon’s name. The investigating officer then requested a search of license plate readers for two vehicles registered to Dillon, covering the days around the incident. Neither turned up anywhere in the county, according to the complaint, which says the results were omitted from the warrant application.<\/p>\n
Six months passed with no further investigation, the complaint says. In July 2024, the officer submitted the warrant. A judge signed it, and Dillon was arrested the following month. He retained a criminal defense attorney and, that October, pleaded not guilty. The State Attorney’s Office dropped all charges a few weeks later. The investigating officer was nevertheless promoted by the end of the year.<\/p>\n
\u201cI will never get over how terrified and worried I was, wondering if I\u2019d ever go home to my wife and daughter again,\u201d Dillon says in a statement shared by his attorneys. \u201cOver 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.\u201d<\/p>\n<\/div>\n
\n
Source link <\/a><\/p>\n","protected":false},"excerpt":{"rendered":"A Florida man was wrongfully arrested for attempting to illegally lure a child after police relied on a face recognition match that was inaccurate, according to a lawsuit filed on Wednesday, even though he lived more than 300 miles from the scene and says he had never set foot in the city where the crime […]<\/p>\n","protected":false},"author":1,"featured_media":1846,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[9],"tags":[391,416,196,85,181,177,178],"class_list":["post-1845","post","type-post","status-publish","format-standard","has-post-thumbnail","category-gadgets","tag-algorithms","tag-crime","tag-face-recognition","tag-machine-learning","tag-police","tag-privacy","tag-surveillance"],"yoast_head":"\n
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