Building on the existing robust video capture and analysis software developed by Actis Media, Recon Journey extends functionality to allow:

 Calculation of journey time
 Incident detection
 Averages of time/speed
 Speed violation detection
 Multiple composite results
 Detection of number plates
 Real-time check against small or huge databases (in excess of 100 million entries)
 Multiple reject/accept/action lists
 Remote or local information access
 Storage and/or transmission of triggered video sequence and/or images
 Wide tolerance for angle and skew of plate
 Configurable plate formatting for both local and international support

Using the powerful phoenix engine, Recon Journey delivers efficient and robust number plate recognition ability to both local and remote sites. Number plate information is available for use in data file creation but can also be used to trigger events that may involve picture or video capture. Plate information can also be filtered again inclusion or exclusion lists in real time. The main use of the gathered information is to construct a data model of the passing traffic.

As number plates are scanned and each point along the designated route, data is produced in the form of data files. This data is then transferred in real time, by means of batch transfer or trickle fed for automated import into the relational database. The collected information can then be reviewed and acted upon by any standard SQL query.

Recon Journey data is not limited to a sequential journey configuration. As can be seen from the diagram below. In this example, there is more than one route to consider to point 2 and above. This configuration is typical to many applications of journey study. The system employs additional processing to the data as it is imported into the database to allow complex models of the data to be realised.

The process that analyses the incoming data and imports it into the database is called the consolidator. The consolidator works from a flexible set of rules that allows various combinations of journeys to be matched and stored in the database. The process of matching the records from various sites along the required route must allow for data being imported at differing times and data may not be in the order in which it was captured. Because of the unique identification of the data files, this process is completed efficiently and quickly.

The benefits of consolidation of the data can be seen when it is queried. Extracting information from a relational database can be complex if records must be matched before they are useful. With consolidated data from Recon Journey, queries are fast enough to give a pseudo real-time reading of incoming data. Extraction of the consolidated data is also greatly improved in efficiency when consolidated. This means backup or extraction to other processes is achieved at maximum speed.

Applications of Recon Journey:

 Incident detection
 Journey time statistics
 Journey speed statistics
 Speed violation detection
 Journey route modelling
 Road works impact study
 Stolen car alerts
 Traffic surveys
 Border control
 Road tax avoidance

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