Skip to main content

Nedap expands ANPR camera range

Nedap has launched two automatic number plate recognition (ANPR) cameras for vehicle access control applications. The company says its advanced ANPR Lumo uses deep learning algorithms to capture number plates which include different font formats. The ANPR Access V2, a successor of Nedap’s ANPR Access, is expected to offer improved performance while being compatible with existing installations. Both cameras integrate parking and traffic management systems as well as third-party security systems using
November 22, 2018 Read time: 1 min

3838 Nedap has launched two automatic number plate recognition (ANPR) cameras for vehicle access control applications.

The company says its advanced ANPR Lumo uses deep learning algorithms to capture number plates which include different font formats.  

The ANPR Access V2, a successor of Nedap’s ANPR Access, is expected to offer improved performance while being compatible with existing installations.

Both cameras integrate parking and traffic management systems as well as third-party security systems using built-in Wiegand options - Wiegand is a wire communication interface between a card, fingerprint or other data capture device and a controller.

Maarten Mijwaart, managing director of Nedap, says: “The available options for configuration and interfacing have been enhanced and extended, making ANPR a viable option for installations all over the world.”

For more information on companies in this article

Related Content

  • Targeted roadside advertising project uses deep learning to analyse traffic volumes
    June 22, 2016
    A targeted roadside advertising project for digital signage using big data and deep learning just launched in Tokyo, Japan, by US smart data storage company Cloudian will focus on vehicle recognition and the ability to present relevant display ads by vehicle make and model. Together with Dentsu, Smart Insight Corporation, and QCT (Quanta Cloud Technology) Japan, and with support from Intel Japan, the project will conduct, at its first stage, deep learning analysis – artificial intelligence (AI) for recog
  • Making connections without compromising security
    November 10, 2017
    We listen in as global experts discuss connected vehicles and cybersecurity. By 2019 there will be almost 44 million connected cars globally and by 2022 that figure will be nearer 70 million; some 40% will be electric powered, according to market analyst Frost & Sullivan. But its report said the issue of end-to-end security for the new technology is still under debate, as vehicle OEMs engage with vendors to test specific security application areas for both over-the-air and vehicle-to-exterior services.
  • Missouri’s smart solution for rural road monitoring
    July 7, 2017
    David Crawford sees how Missouri is using commercially available information to rapidly improve monitoring and driver information on rural highways. Missouri is a predominantly rural state with the second largest number of farms in the country and agriculture the main occupation in 97 of its 114 counties. US statistics starkly reveal how road accidents in rural areas tend to be more serious than in urban regions and of the 32,000 US motorists killed each year, 54% die on roads in rural areas even though onl
  • Jai camera for advanced ITS systems
    January 27, 2012
    Jai has introduced two new 2MP industrial-grade CCD cameras featuring full HDTV resolution (1,920x1,080P) at 64fps, making them ideal for advanced traffic imaging and vehicle recognition applications in traffic management and traffic enforcement. The new AM-201CL (monochrome) and AB-201CL (colour) cameras are the second set of cameras from Jai to feature highperformance quad-tap CCD sensors from Kodak. Like the previously introduced 8MP cameras, the new HD cameras utilise the high speed of the quad-tap arch