With a growing demand for modern solutions to optimize processes and infrastructure, Myanmar is steadily moving towards digitalization, aiming to overcome traditional challenges by embracing advanced technologies. In this context, the new stop-and-go project developed by Tattile marks a key milestone in the country’s innovation journey: with its license plate recognition camera and the introduction of a state-of-the-art Optical Character Recognition (OCR) system, Tattile is significantly improving operational efficiency in Myanmar.
Stark OCR technology
Tattile’s OCR technology, embedded in the license plate recognition camera, ensures the precise reading of license plates, even under challenging conditions. Stark OCR systems are entirely developed in-house: the hardware architecture is designed to maximize the software performance and, at the same time, the software is designed to exploit the hardware architecture to its highest potential. This means that Tattile has unparalleled accuracy and a reduced execution time (up to six transits per second).
Tattile’s OCR technology is designed to recognize license plates, even those that are particularly detailed, filled with tiny details, or have different colors. Engineered to work seamlessly in real-time, it delivers immediate and accurate data using advanced A.I. algorithms. This is particularly beneficial for toll collection applications, where fast and reliable recognition is crucial to maintaining smooth traffic flow and reducing congestion.
The OCR has been customized for Myanmar to meet the country’s unique requirements, including variations in license plate designs, road conditions and infrastructure, lighting and weather conditions. This flexibility and customization highlight the solution’s adaptability to local contexts, something that off-the-shelf solutions may not fully address.
One of the outstanding features of this OCR is its 97% accuracy rate. This exceptional level of precision is a game-changer in real-world applications. By reducing errors in license plate recognition, the system ensures that vehicles are accurately tracked, providing more reliable data for authorities.
Stop-and-go tolling in Myanmar
The stop-and-go project in Myanmar is designed to help improve the country’s traffic management system, which faces significant challenges due to rapid urbanization and a lack of infrastructure. Specifically, the project addresses the need for more efficient traffic monitoring by implementing an OCR-based system specific to Myanmar license plates. Stop-and-go tolling is a system in which vehicles are charged a toll based on the distance they travel on the road: vehicles stop at a toll booth and pay the toll 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 traveled and charges the vehicle’s account accordingly. Thanks to the Vega family license plate recognition camera, Tattile provides a solution for accurately controlling every vehicle’s transit.
Myanmar’s specific requirements required a color version of Vega53, which has an integrated high-power visible light illuminator to support demanding performance and optimal reading even in highly complex scenarios, such as Myanmar’s diverse license plates.
The system includes standard features such as embedded ANPR, color vehicle images, optical speed evaluation and the ability to read Myanmar’s black and non-reflective license 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 customization of the hardware platform according to each application’s complexity.
In summary, Tattile’s stop-and-go project fits seamlessly into Myanmar’s specific traffic management challenges, offering a reliable, customized solution that addresses the local context while delivering high accuracy and operational improvements.
