Lector Vision supplies ALPR systems for Polish Smart City project

Lector Vision has supplied the city of Rzeszow in Poland with its Traffic Eye automatic licence plate recognition (ALPR) system for the city's Smart City project. This major project comprises traffic management, public transportation, driver's real time information delivery, travel time calculation based on ALPR, video surveillance, etc. For this project, Lector Vision supplied over 70 Traffic Eye units with a multilane configuration, reading the plates of more than 130 lanes.
June 12, 2015 Read time: 2 mins

7545 Lector Vision has supplied the city of Rzeszow in Poland with its Traffic Eye automatic licence plate recognition (ALPR) system for the city's Smart City project.

This major project comprises traffic management, public transportation, driver's real time information delivery, travel time calculation based on ALPR, video surveillance, etc.

For this project, Lector Vision supplied over 70 Traffic Eye units with a multilane configuration, reading the plates of more than 130 lanes.

Tough winter environmental conditions in the city meant the ALPR system had to be able of working at very low temperatures of -30 degrees C, providing not only high performance, but also high reliability in extreme climates.

Lector Vision's Traffic Eye is an ALPR all in one unit designed for high performance and high reliability with IP67 certification. The unit includes a temperature and humidity sensor as well as an internal heater, which allows the system to increase its internal temperature to augment the dew point (temperature at which condensation is produced) or to avoid the temperature dropping below the optimum range of its internal components.

Detection, Monitoring & Machine Vision Urban Traffic Control

For more information on companies in this article

Related Content

  • Siemens offers Stamford a ‘bird’s eye view’
    April 29, 2019
    Stamford, Connecticut is a vibrant, diverse community overlooking the Long Island Sound, within commuting distance of New York City. Stamford hosts the largest financial district in the greater New York metro area outside of Manhattan and is home to a high concentration of large corporations and corporate HQs. With a population of 130,000, Stamford is Connecticut’s third largest city and the fastest-growing municipality in the state. Like many US cities, Stamford had previously relied on an antiquated traf
    Read More
  • World launch by Lector Vision
    February 19, 2018
    Lector Vision, an international specialist in artificial vision that enables a wide range of applications in the traffic and transport sector, will use Intertraffic Amsterdam 2018 for the world launch of two innovative new products – the Cube camera and Traffic Guard, a ground-breaking software analytics development that was funded by the Spanish government. The company’s Cube camera was developed in-house at Lector Vision’s Madrid headquarters and has a wide range of applications, including tolling
    Read More
  • All-in-one ITS camera package from Vision Components
    October 28, 2016
    Image processing specialist Vision Components focuses on modular ITS solutions for OEM manufacturers at this year’s Vision show in. Its traffic control package comprises the Carrida software engine, Carrida Cam, VC flash infrared area lighting module and the Q-Board, providing solutions for access control, toll and speed control, traffic analysis or fleet management which can be combined and integrated.
    Read More
  • Debating the future development of ANPR
    July 31, 2012
    What future is there for automatic number plate recognition? Will it be supplanted by electronic vehicle identification, or will continuing development maintain the technology's relevance? In recent years, digitisation and IP-based communication networks have allowed Automatic Number Plate Recognition (ANPR) to achieve ever-greater utility and a commensurate increase in deployments. But where does the technology go next - indeed, does it have a future in the face of the increasing use of, for instance, Dedi
    Read More

Highlighted Content