AI Cops Hunting Stolen Cars Trap The Drive Writer in Range Rover

A journalist for The Drive was exiting a department store parking lot in Minnesota with his wife when four armed police cruisers blocked his $155,000 Range Rover press car, ordering him out with his hands up. The officers spent an hour questioning the couple before revealing that local law enforcement had been actively tracking the vehicle for days using an automated AI surveillance system built by Flock Safety.

The entire high-tech dragnet was triggered by a clerical blunder originating in California. A dealership for Jaguar Land Rover in Los Angeles had misplaced a manufacturer license plate reading "34 03 DTM" and reported it missing. However, when police entered the report into the national database, they truncated the number to just "34 DTM", completely dropping the smaller middle digits used for special vehicle manufacturer codes in New Jersey.

When the automated camera network spotted the journalist driving with a valid "34 10 DTM" plate, its computer vision algorithms completely missed the smaller middle numbers. The software confidently declared a match for the truncated stolen tag, triggering an automatic stolen-vehicle alert across the entire municipal tracking network.

Police officers revealed that four other vehicles carrying similar New Jersey manufacturer tags were simultaneously flagged as stolen targets during that same week. The embarrassing encounter occurred precisely fourteen days after the same journalist authored a viral exposé detailing the exact surveillance risks posed by automated license plate readers.

Algorithmic surveillance continues to prove that cutting-edge artificial intelligence still relies entirely on human database entry, leaving innocent drivers at the mercy of automated police stops caused by a single forgotten digit.

Source: The Drive