US Patent Issued to Ford Global Technologies on Sept. 9 for "Systems and methods of using a machine learning model to classify catalytic converter theft tamper events based on audio data" (British, American Inventors)

ALEXANDRIA, Va., Sept. 10 -- United States Patent no. 12,409,807, issued on Sept. 9, was assigned to Ford Global Technologies LLC (Dearborn, Mich.).

"Systems and methods of using a machine learning model to classify catalytic converter theft tamper events based on audio data" was invented by Evangello Flouty (London), Benjamin George Brown (Westland, Mich.), Tarik Alexander Safir (London) and Endre Hanak (Colchester, Great Britain).

According to the abstract* released by the U.S. Patent & Trademark Office: "Examples provide systems and methods for detecting vehicle tamper events without relying on a clear line-of-sight. Namely, examples leverage an intelligent insight that many types of vehicle tamper events have unique audio signatures. ...