Tattile adds Vega 1 to range of vehicle identification systems

Italian ITS specialist Tattile expands its range of vehicle identification systems by the new Vega 1, an intelligent camera specifically designed for single lane vehicle tracking, traffic limited areas and priority lanes, as well as congestion charge. The core of the new Vega 1 with an onboard automatic number plate recognition (ANPR) engine, is a dual channel camera built in a compact case which allows an easy setup to minimise the installation and maintenance times. The local storage allows the solution
October 25, 2018 Read time: 2 mins

Italian ITS specialist 592 Tattile expands its range of vehicle identification systems by the new Vega 1, an intelligent camera specifically designed for single lane vehicle tracking, traffic limited areas and priority lanes, as well as congestion charge. The core of the new Vega 1 with an onboard automatic number plate recognition (ANPR) engine, is a dual channel camera built in a compact case which allows an easy setup to minimise the installation and maintenance times. The local storage allows the solution to work stand alone in case the connectivity is interrupted.

The single lane intelligent traffic system provides colour video streaming via standard RTSP protocol.

The company says Vega 1 comes with a working distance up to 25m and does not require any external IR lighting. The high sensitivity image sensors allow ANPR reading and video streaming in harsh and low light conditions.

Standard features also come with optional functionalities which provide further information on the vehicles tracked by additional vehicle brand, vehicle class and vehicle colour identification. There are options to connect the Vega 1 to WiFi, LTE and GPS.

These standard functionalities and additional features allow Vega 1 to serve as a collector of all relevant data needed for vehicle identification and road control, the company adds.

Stand: 1C61

Related Content

  • AI is creating road maintenance savings
    July 30, 2021
    Artificial intelligence is starting to create savings for hard-pressed local authorities when it comes to road maintenance. David Crawford reviews recent advances in cost and performance control
    Read More
  • Image Sensing Systems to sell ANPR/LPR business to TagMaster
    July 10, 2015
    Image Sensing Systems (ISS) has announced the sale of its automatic number plate recognition (ANPR/LPR) business to TagMaster for the purchase price of US$4.2 million in cash. ISS has decided to shift its strategic direction and focus to the intelligent transportation systems (ITS) market by investing in its Autoscope video detection and RTMS radar detection products and solutions. As of 9 July 2015, the ANPR/LPR business, including all products and solutions, will transition to TagMaster. TagMaster was fou
    Read More
  • Camera range optimised for outdoor applications
    December 4, 2012
    Allied Vision Technologies (AVT) has introduced the Prosilica GT GigE Vision camera series which offers an extended operating temperature range and optimised image processing functions. Capable of operating at extreme temperatures from -10°C to +60°C and in changing lighting conditions, the Prosilica GT has been designed for demanding outdoor applications such as traffic and security monitoring, surveillance and aviation/space flights. The cameras feature a host of functions to cope with external weather
    Read More
  • New York pioneers online mobile real-time bus tracking
    May 22, 2012
    An unusual technology collaboration. David Crawford investigates Early in January 2012, the New York City Metropolitan Transportation Authority (MTA) rolled out the first borough-wide implementation of its pioneering Bus Time online mobile real-time tracking service. The system allow commuters to track each bus on every route in real-time on the internet, via smartphones and by text messaging to a mobile phone. The MTA chose Staten Island for its first live launch due to it being the only one of the five Ne
    Read More

Highlighted Content