Introduction to iBase Plate Analysis

Automatic license plate recognition (ALPR) is a mass surveillance method that uses optical character recognition on images to read the license plates on vehicles and store the Vehicle Registration Marks (VRMs) in a database. ALPR systems can use existing closed-circuit television or road-rule enforcement cameras, or ones specifically designed for the task.

iBase Plate Analysis is designed to analyze ALPR data stored in an iBase database, and use it in the context of other relevant data, to maximize its potential to provide actionable intelligence. The main functions are shown in the table below:

Function

Used for

Geographical Profiling

Compares ALPR reads around the location of specified incidents or events, and discovers vehicles that have been seen in the vicinity.

Convoy Analysis

Compares a target list of vehicles with Plate Analysis records to discover co-occurrences of vehicles traveling together.

Generating VRM Lists

Enables you to generate lists of VRMs from a set of Plate Analysis records. The lists can be used in iBase queries or in other applications.

Finding Common Vehicles

Finds vehicles that occur in two or more specified sets.

Combining Vehicle Data Sets

Combines multiple sets easily and quickly.

Retrieving Images

Allows you to view images that are linked to ALPR reads.

Configuring iBase Plate Analysis

Allows you to specify the entities and fields that are used for Plate Analysis. You will only see the configuration options if you are an iBase database administrator.

To start the Plate Analysis Task Manager, from where all the Plate Analysis functions can be accessed, click the Plate Analysis Task Manager icon on the iBase toolbar. The Task Manager is displayed with the options displayed on the left. Click the name of the function that you want to use.

Note: Plate analysis is only supported in SQL Server databases, and is not supported in case-enabled iBase databases.