VIETNAM - Tattile has been chosen as exclusive European ANPR camera supplier - Tattile: Hi-Performance Mobility Solutions & AI software for ANPR, ALPR cameras

Making roads safer in Vietnam

For some years now, Vietnam has been the protagonist of constant economic and technological growth, and as such positioning the country as a leader in ITS and Smart City infrastructure in the APAC taking not of the capabilities of the latest smart traffic camera generation. In this regard, the country initiated an ambitious project for traffic road safety and traffic offences control renovation. The ITS systems using CCTV traffic monitoring cameras will beinstalled in the North of Vietnam, creating the new backbone for road user protection and enhancing the relative driving experience. Tattile has been chosen as exclusive European ANPR (ALPR) camera supplier.

The ITS systems with Tattile license plate reader cameras will be applied to measure the vehicles speed in the most critical stretches of the road and to detect red-light violations in selected intersections. All these applications will have the common goal to reduce casualties and to protect the citizens by making roads safer in Vietnam.

In addition to the enforcement capabilities, the traffic monitoring systems will provide the detection of each transit. Those transits, together with the ones collected by fully dedicated ANPR cameras installed on the road, will allow the government to collect and apply Big Data. These large data amounts, including license plate numbers and vehicle profiles, are useful for various security and counter crime purposes such as preventing vehicles from being stolen and tracking hit-and-run offenders.

The project involves a choice of Tattile smart traffic cameras, including Tattile Vega Smart 2HD, Vega Smart Speed and Vega Smart Traffic Light cameras. Without the need of external computers or costly IT infrastructure these license plate reader devices, equipped with embedded Artificial Intelligence (AI), are capable to analyse the traffic scenes in real-time.

The time frame to realize this innovative and ambitious project is set to last up to three years… and it’s just getting started.