Traffic monitoring, particularly with TagMaster’s TrafficRadar, is transforming road safety and sustainability in our communities. By providing accurate data on vehicle speeds, counts, and classification, TrafficRadar empowers local authorities to address speeding issues, optimise traffic flow, and promote safer streets for pedestrians and cyclists. A great example is the Lincolnshire Road Safety Partnership,…
TagMaster offers more than just a black box: we provide, free of charge, the tools you need for accurate and reliable data collection without any hidden costs or annual license fees. With every TagMaster mobility solution, you receive the Easy Software Suite, ensuring ease from setup to analysis: EasySetup: Configure recorders on-site with confidence, verifying…
TagMaster’s TrafficStatistics Deep Learning Video Detection Solution provides a cost-efficient, high-performance method to capture valuable multimodal traffic data by utilising existing camera systems. Accurate Multimodal Data: Leverages deep learning technology to deliver highly accurate and comprehensive traffic data. Protect Vulnerable Road Users: Collects reliable active travel data to optimise infrastructure and safety. Cost-Effective: Minimises expenses…
Assessing modal shift and keeping traffic flowing smoothly is a top priority for local authorities across Europe. For decades, they have relied on traffic data from various ATC sites to maintain transport infrastructure and manage motorised traffic. However, with the growing popularity of cycling, the need for accurate data on cyclists has become critical to…
Councils in the UK are working towards delivering greener travel choices to encourage more people to walk, wheel, and cycle. With a target of achieving 50% of all short trips by active travel by 2030, data collection is essential to: Monitor the rise in active travel, fostering a positive cycle that encourages greater use of…
The Pays Barrois, with 60,000 inhabitants, 100 communes, and 3 community entities in the Meuse department, is developing the No. 52 greenway through the Pôle d’Equilibre Territorial et Rural (PETR). This cycle route, using an existing track along the Canal de la Marne au Rhin, aims to encourage cycling and increase active mobility. To measure…
TagMaster’s TrafficStatistics Deep Learning – Video Detection solution offers a cost-effective and efficient way to gather valuable multimodal traffic data using existing camera infrastructure. Accurate Traffic Statistics: Harnesses the power of deep learning to provide accurate and detailed traffic statistics. Utilises Existing Cameras: Eliminates the need for additional hardware, leveraging existing camera infrastructure. Cost-Effective Solution:…
Recognise the capabilities of TagMaster’s bicycle and pedestrian counting technology in the realm of Active Travel monitoring. As our society continues to emphasise sustainable and active transportation, it becomes increasingly crucial to leverage innovative tools that enable us to make informed decisions and assess the impact of our policies. TagMaster’s state-of-the-art technology not only offers…
At TagMaster, we understand the pivotal role technology plays in boosting productivity and efficiency. That’s why we’re excited to introduce our latest hardware upgrade promotion, designed to elevate your business. By embracing state-of-the-art electronic components, our upgraded hardware promises a seamless experience, enhanced durability, and unparalleled reliability. Say goodbye to downtime and hello to a…
TagMaster’s innovative technology, based on deep neural networks applied to video analysis, enables accurate detection of all objects of interest in video streams. Using existing cameras, the Traffic Statistics Deep Learning solution provides real-time automatic counting and classification of vulnerable road users and vehicles using Artificial Intelligence and Deep Learning technology. TagMaster have recently further…
