Skip to main content

Tattile OCR system for Myanmar tolling

Stop-and-go system uses embedded optical character recognition cameras
By David Arminas March 12, 2025 Read time: 2 mins
Traffic in Myanmar (© Wallis Yu | Dreamstime.com)

ANPR specialist Tattile has launched its licence plate recognition camera for stop-and-go tolling in Myanmar (formerly known as Burma).

The south-east Asian country is steadily moving towards digitalisation, according to Tattile, and the new set-up uses the Italian manufacturer's licence plate recognition camera with the embedded optical character recognition (OCR) system.

Tattile’s Stark OCR technology -  entirely developed in-house - ensures the precise reading of licence plates, even under challenging conditions, including those that are particularly detailed, filled with tiny details or have different colours.

The OCR has been customised for Myanmar to meet the country’s requirements, including variations in plate designs, road conditions and infrastructure, lighting and weather conditions. 

Tattile said its solution has a 97% accuracy rate and a reduced execution time of up to six transits per second. 

The contract in Myanmar requires a colour version of Tattile's Vega53, which has an integrated high-power visible light illuminator to support demanding performance and optimal reading.

The system includes standard features such as embedded ANPR, colour vehicle images, optical speed evaluation and the ability to read Myanmar’s black and non-reflective licence plates. 

An extra-sensitive sensor mounted on the Vega53 context camera ensures quality images even in low-light conditions. The modular system architecture allows for easy customisation of the hardware platform according to each application’s complexity.

Stop-and-go tolling charges vehicles a toll based on the distance they travel on the road. Vehicles stop at a toll booth and pay before proceeding on their journey. This is achieved by using a combination of cameras and electronic sensors to track vehicles as they enter and exit the tolled area.

The system calculates the distance travelled and charges the vehicle’s account accordingly.

Related Content

  • March 16, 2016
    Sensor technology advances increases ITS opportunities
    Basler’s Enzio Schneider explains why advances in CMOS technology provides new opportunities for vision-based ITS applications. Since the beginning of 2015, or even before, it seems obvious that all roads in vision-based ITS applications lead in one technological direction – CMOS. Initially perceived as a trend in vision technology, it has taken a step towards status as the new benchmark with Sony’s announcement to discontinue their CCD production. CMOS sensor technology has become the future for industrial
  • October 24, 2017
    Carrida standalone, network-compatible ALPR systems for parking applications
    Vision Components’ modular Carrida automatic licence plate recognition (ALPR) software enables black list/white list access control, parking management, identification of vehicle types and colours and data logging. It can be networked with gates, barriers, ticket printers, under-vehicle scanners (UVSS) and other relevant equipment.
  • October 29, 2014
    ITS need not reinvent machine vision
    Machine vision techniques hold the potential to solve a multitude of challenges facing the transportation sector Optical Character Recognition (OCR), the base technology for number plate recognition, has been in industrial use for more than three decades. It is a prime example of how, instead of having to start from scratch, the transportation sector can leverage and adapt the machine vision expertise already used in industry in order to provide robust solutions with new capabilities. “The real val
  • December 7, 2022
    Tattile offers Stark contrast
    Application framework layer will provide scalability for operations with new-gen cameras