Automated License Plate Recognition Systems: Policy and Operational Guidance for Law Enforcement.

摘要

Law enforcement officers are often searching for vehicles that have been reported stolen, are suspected of being involved in criminal or terrorist activities, are owned by persons who are wanted by authorities, have failed to pay parking violations or maintain current vehicle license registration, and any of a number of other factors. Law enforcement agencies throughout the nation are increasingly adopting automated license plate recognition (ALPR) technologies, which function to automatically capture an image of the vehicles license plate, transform that image into alphanumeric characters, compare the plate number acquired to one or more databases of vehicles of interest, and alert the officer when a vehicle of interest has been observed, all within a matter of seconds This project was designed to assess ALPR implementation among law enforcement agencies in the United States, and to identify emerging implementation practices to provide operational and policy guidance to the field. A random sample of 444 local, state, and tribal law enforcement agencies was surveyed. A total of 305 agencies responded to the initial survey (68.7%). Threequarters of respondents (235 agencies, 77.0%) indicated that they were not using ALPR, while 70 agencies (23.0%) responded that they were using ALPR. A longer, more detailed survey was sent to the 70 agencies who confirmed they were using ALPR, and 40 agencies (57.1%) responded.