Automatic License Plate Recognition Systems from 3M use high-resolution cameras mounted on patrol cars to automatically scan and identify license plates – all while officers are cruising through a district. Plates are automatically compared to wanted vehicle databases, sounding an alarm when a stolen or wanted car is identified.
Using stolen vehicle data from the Australian Criminal Intelligence Commission, or from local reports, 3M Automated License Plate Recognition (ALPR) systems can greatly improve stolen vehicle identification and recovery results. Additionally, ALPR improves resource efficiency and utilisation, provides an added level of officer safety, and eliminates claims of profiling. The identification of stolen vehicles often results in other enforcement opportunities such as drug trafficking, identity theft, and robbery.
Mobile deployments of 3M License Plate Capture Software and Automated License Plate Recognition (ALPR) cameras can be used in the identification of wanted felons, automation of BOLOs and increased surveillance of AMBER alerts. Seconds after an AMBER alert or a BOLO is announced, 3M ALPR systems can be alerted, greatly increasing the chances of a successfully finding the suspect.
Patrolling the perimeters of schools and playgrounds, a vehicle equipped with a 3M Mobile Automated License Plate Recognition (ALPR) System can quickly identify registered sexual predators and potentially prevent a repeat offense through officer intervention. 3M ALPR systems may also be set up for temporary deployment at DUI checkpoints to identify those drivers with prior DUI offenses.
Deploying 3M Automated License Plate Recognition (ALPR) camera systems in High Intensity Drug Trafficking Areas (HIDTAs) can help identify known drug traffickers. Additionally, by monitoring vehicle activity at known sites, potential drug trafficking suspects may also be identified. 3M ALPR Mobile Systems may be used to patrol areas of known activity, while 3M Fixed ALPR Systems may be used to monitor higher volume traffic areas.
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