Skip to main content

Tattile targets multi-lane free-flow tolling with Smart+

Camera has 'unparalleled levels of performance and accuracy', manufacturer says
August 25, 2023 Read time: 2 mins
Integration of Dual AI Accelerator is a 'game-changer', Tattile says

The realm of ITS is on the cusp of a groundbreaking advancement as Tattile gears up to launch its Smart+ camera. 

Engineered with cutting-edge technology, this revolutionary camera boasts a Dual AI Accelerator that promises to transform challenging multi-lane free-flow (MLFF) tolling applications. At the heart of the Smart+ camera lies its dedicated hardware for AI algorithms. 

Unlike conventional cameras relying on general-purpose processors, Tattile's creation is purpose-built to excel in neural detection and optical character recognition (OCR). By dedicating specific hardware resources to these tasks, the camera can achieve unparalleled levels of performance and accuracy, thus optimising the entire tolling process. 

The integration of Dual AI Accelerator is a game-changer. Designed with two independent channels, the camera can simultaneously process data streams, making it ideal for multi-lane tolling applications. This breakthrough innovation translates to maximum transit detection performance, boasting an impressive accuracy rate of over 99.5%. 

Even in high-traffic scenarios, the Smart+ camera guarantees real-time and reliable detection, ensuring seamless toll collection and reduced congestion. Equally impressive is the camera's neural OCR at frame-rate capability, delivering outstanding plate-reading performance exceeding 98.5%, subject to variations across countries. 

Regardless of the licence plate format or language, the Smart+ camera can rapidly and accurately capture vehicle information. This feature is indispensable for tolling authorities and law enforcement agencies alike, enabling precise tracking of vehicles and streamlined toll management. 

Additionally, the camera's architecture is future-proof, allowing for seamless updates and customisation to accommodate evolving tolling requirements. As technologies and standards evolve, the Smart+ camera can effortlessly adapt, safeguarding investments and prolonging its lifespan in the ever-changing ITS landscape. 

As it hits the market, the Smart+ camera is set to revolutionise the tolling industry and contribute to a smarter, more connected, and sustainable transportation ecosystem.

Content produced in association with Tattile

 

For more information on companies in this article

Related Content

  • Improving urban traffic control in Atlanta
    January 27, 2012
    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
  • Florida gets One.network’s lane closure programme
    August 24, 2022
    The project will use proprietary shared road management platform that connects with GPS providers
  • Sick unveils Free Flow Profiler for scanning vehicles
    May 20, 2019
    Sick has launched a vehicle measurement system which it says enables accurate 3D profiling of vehicles across multiple lanes in free-flow traffic. The Free Flow Profiler is an all-weather system suitable for vehicle tolling and classification uses, especially in operations such as optimal weight loading of ferries or trains and for verifying vehicle dimensions to maximise revenue recovery, the company adds. During multi-lane, free road movement, Sick’s 2D Lidar sensors scan traffic and measure vehicle l
  • How connectivity and intelligence are redefining the riding experience
    May 31, 2024
    Connected services and safety solutions for vulnerable road users (VRUs) riding two and three-wheelers