Strams team tries to conduct a test of our AI traffic counting system on the most congested street in Hà Nội – Nguyen Trai street. The trial video for testing was recorded on July 5th, 2022 with the duration of … Continued
Currently, we are conducting a license plate data collection project. Initially, license plates on highways will be collected in many different conditions. The license plate data will then be used combined with machine learning to develop tools that have an … Continued
We release the first version of a system for traffic monitoring and counting. The tool has been being developed based on Deep Learning Technology. Now the tool can be used for traffic condition in urban area in Viet Nam with … Continued
a mini system for data mining has been developed. Thus, based on the system, image data is automatically collected from several CCTV cameras. By using this data, the user can develop machine learning system for traffic counting.
A vision-based system for road vehicle counting and classification. The system is able to achieve counting with a very good accuracy even in difficult scenarios linked to occlusions and/or presence of shadows or mixed traffic flow. The data is real-time … Continued
There are many technologies for counting and measuring traffic, such as pneumatic tube, IR sensor, Inductive loop, Ultrasonic wave, video image processing and so on. However, many of these technologies are costly and inflexible to operate and some issues about authorization … Continued
With ten years of experience in the development of traffic simulation we provide solutions to model not only homogeneous traffic but non-homogeneous (mixed) traffic in Viet Nam…
Over the past eight years, our research team has been developing a high-tech and cost-effective approach to measuring road user behavior such as types, trajectories, speed as well as volume and/or nature of traffic. Basically, the system that we developed … Continued