SpeedPlate ANPR software

NDI Recognition Systems has released the latest version of its SpeedPlate mobile ANPR software, designed specifically for all in-vehicle, mobile or portable operations. The company says the new release includes several enhancements to functionality including customisable coloured alarms and sounds which can be prioritised, dynamic searches and the optional selection of hotlists to be used for specific operations. All hotlists can be now set up to match the seven colours of the BOF hotlists palette, providin

January 23, 2012 Read time: 1 min

820 NDI Recognition Systems has released the latest version of its SpeedPlate mobile ANPR software, designed specifically for all in-vehicle, mobile or portable operations. The company says the new release includes several enhancements to functionality including customisable coloured alarms and sounds which can be prioritised, dynamic searches and the optional selection of hotlists to be used for specific operations.

All hotlists can be now set up to match the seven colours of the BOF hotlists palette, providing immediate visual feedback and correlation between the two systems. The dynamic wild card search facility allows fast retrieval of vehicle registrations amongst thousands of hits. SpeedPlate V8 combined with BOF Web Services means a seamless integration with other law enforcement databases such as PNC (Police National Computer) and BOF (Back Office Facility) FastTrack.

Detection, Monitoring & Machine Vision

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NDI Recognition

Talon V8.2 ANPR engine

NDI Recognition Systems has announced the latest release of its Talon ANPR engine and says that Version 8.2 includes enhancements to performance, international reading capability and a simplified set-up. For instance, it accommodates multiple lane capture on any system configuration and provides a high level of accuracy and performance without quality degradation. The engine supports ANPR reading from both the IR and the colour cameras feeds, which the company says is especially important in smaller project