‘Urgent’ Case Prompts Dayton Cops to Use Facial Recognition, Leading to Arrest

Ohio’s Dayton Police Department resorted to facial recognition technology to identify a suspect in a violent assault case, marking a departure from their usual practices.

The Department does not typically use facial recognition, and a city ordinance mandates public input before acquiring new surveillance technologies. However, the ordinance allows for exceptions when urgent circumstances arise, which the Police Chief determined to have applied to this case.

The assault, captured on a gas station’s surveillance system, involved a woman being brutally attacked and seemingly rendered unconscious by a male suspect. Despite reviewing the footage, detectives couldn’t identify the individuals involved or obtain a clear image of the vehicle’s license plate. Fearing the victim might be critically injured or worse, and with traditional investigative leads exhausted, the Chief authorized the use of facial recognition.

Partnering with a state law enforcement agency, Dayton police leveraged open-source facial recognition software to analyze the incident’s images and videos. The collaboration yielded an investigative lead, ultimately resulting in the suspect’s arrest in Lima, another city in Ohio. The victim was also located alive in Indiana.

While the Dayton Police Department does not plan on routine facial recognition integration, it may consider its use in similarly dire situations with no other investigative avenues.

This incident underscores both the potential benefits of facial recognition in apprehending suspects in severe crimes, and the ongoing debate surrounding the balance between employing such technologies and maintaining compliance with local ordinances designed to safeguard civil liberties.

Source: Dayton Daily News

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April 30, 2024 — by Ali Nassar-Smith