Law enforcement agencies are increasingly utilizing AI-driven surveillance systems to monitor vehicle movements. These tools process data from Automated License Plate Readers (ALPR) to identify patterns that software classifies as suspicious. This practice has led to traffic stops based on algorithmic alerts rather than direct observation of violations.
The scale of current surveillance networks is significant, with security researchers identifying over 335 000 Flock ALPR cameras deployed across the United States. These systems record registration numbers, locations, and timestamps, allowing authorities to reconstruct travel history and identify behavioral patterns.
Critics warn that the reliance on AI for law enforcement increases the frequency of pretextual stops. Concerns have been raised regarding the potential for these systems to flag innocent drivers, as well as documented instances of officers abusing surveillance technology, which has resulted in the termination of several personnel.
