Automated License Plate Readers
GPTKB entity
Statements (43)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:technology
|
| gptkbp:application |
gptkb:law_enforcement
parking enforcement toll collection |
| gptkbp:benefits |
increased efficiency in monitoring vehicles
reduction in manual data entry errors |
| gptkbp:feature |
night vision capabilities
cloud storage for data ability to read plates from various angles automatic alerts for wanted vehicles high-speed image capture integration with other surveillance systems |
| gptkbp:function |
capture images of license plates
|
| gptkbp:future_prospects |
expansion into new markets
integration with autonomous vehicles advancements in AI technology potential for enhanced analytics |
| https://www.w3.org/2000/01/rdf-schema#label |
Automated License Plate Readers
|
| gptkbp:impact |
enhanced traffic management
improved recovery of stolen vehicles support for criminal investigations |
| gptkbp:issues |
data retention policies
privacy issues potential misuse of data |
| gptkbp:location |
deployed at border crossings
installed at traffic intersections placed on police vehicles used in parking lots |
| gptkbp:market |
growing demand in urban areas
adopted by municipalities increasing use in smart city initiatives used by private companies |
| gptkbp:provides_information_on |
vehicle make and model
vehicle registration information time and location of capture |
| gptkbp:regulatory_compliance |
subject to local laws
governed by data protection laws |
| gptkbp:technology |
real-time monitoring capabilities
integrated with GPS systems connected to databases |
| gptkbp:uses |
optical character recognition
|
| gptkbp:bfsParent |
gptkb:College_Station_Police_Department
|
| gptkbp:bfsLayer |
5
|