Q-Free’s ALPR demonstrates high read, low error rates

Q-Free’s German OEM partner VMT Düssel has recently installed its VideoScan automatic licence plate reader (ALPR) system at the entrances to Phantasialand theme park in Brühl, Germany, in an effort to provide the park with an insight to the type of visitors, their geographic distribution and pattern of returns. Q-Free’s Intrada ALPR software is integrated into the system’s video processing server for video and image handling; video captured by the VMT VideoScan installed on the entry lanes is sent to the
May 13, 2014 Read time: 2 mins
108 Q-Free’s German OEM partner VMT Düssel has recently installed its VideoScan automatic licence plate reader (ALPR) system at the entrances to Phantasialand theme park in Brühl, Germany, in an effort to provide the park with an insight to the type of visitors, their geographic distribution and pattern of returns.

Q-Free’s Intrada ALPR software is integrated into the system’s video processing server for video and image handling; video captured by the VMT VideoScan installed on the entry lanes is sent to the Intrada ALPR engine where the licence plates are recognised.  The data is forwarded to the central server for statistical analysis on visitor patterns.

The ALPR engine features a combination of various optical character recognition (OCR) technologies and the Intrada library contains data for more than 100 countries and states around the world. The software not only reads the bare registration number, but the OCR also uses plate features, such as the characters’ location and fonts, to determine a plate’s origin.

According to Q-Free, the Intrada ALPR software is currently deployed in numerous systems worldwide, where it has demonstrated very low error rates. For the Stockholm congestion charging scheme, Intrada automatically handles 97 per cent of the images with an error rate of less than 0.01 per cent, and for Amsterdam’s low emission zone, it achieves a 98 per cent read rate, with an error rate below 0.1 per cent.
Detection, Monitoring & Machine Vision

Related Content

  • April 16, 2024
    Vitronic’s AI-based innovation for safer mobility in the future
    As Artificial Intelligence (AI) is transforming mobility, particularly in traffic management and road safety, Vitronic is here to present its AI-based solutions.
    Read More
  • February 23, 2017
    Vitronic develops gantry-less free-flow tolling
    German tolling and machine vision specialist Vitronic has developed a technology for free-flow toll collection and enforcement that uses an optical identification and classification method installed at the side of the road and does not rely on gantry infrastructure. For easy installation, the new system is integrated in Vitronic’s City Design housing, which contains the complete sensor array and processing technology including vehicle-to-infrastructure communication-based on EETS compatible DSRC or on R
    Read More
  • January 27, 2012
    Improving urban traffic control in Atlanta
    Hugh Colton, Georgia DOT details move to improve urban traffic control in the Atlanta area. With a significant proportion of traffic using freeways and toll-ways, along with a significant investment in roadway infrastructure, urban arterials are often the poor relation when it comes to ITS investment. Hitherto the primary means of Urban Traffic Control (UTC) has been the ubiquitous traffic signal. Many traffic signals still operate in a standalone mode and traffic detection is often broken, leaving the sign
    Read More
  • June 18, 2014
    Q-free unveils new products
    Q-Free has added two new high performance products to its product portfolio, both with low power consumption and long life use. The OBU615 is a Dedicated Short-Range Communication-based (DSRC) on-board unit (OBU) for applications such as electronic toll collection (ETC) and congestion charging, automatic vehicle identification (AVI), electronic registration identification (ERI), access control and parking. The device uses the same in-vehicle mounting as he OBU610, reducing logistic and operational costs
    Read More

Highlighted Content