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 developed the algorithms to detect two additional object classes: Scooter & Van. These two new classes significantly enhance TagMaster’s ability to address our customers’ needs.
They’ve been developed considering the evolving mobility landscape, especially the growing presence of e-scooters in urban areas. This expansion of classes brings superior capabilities in counting and categorising, delivering high performance.
This powerful methodology provides outstanding performance and accuracy for object detection. It is very robust and resilient against any potential sources of false detection. The video analytics algorithms will not be disrupted by shadows, reflecting light, or moving vegetation.
Key Benefits:
- Real-time automatic counting and classification
- Based on Artificial Intelligence and Deep Learning technology
- Multimodal counts with focus on vulnerable road users
- Flexible and non-intrusive solution
- Camera agnostic
Find out how TagMaster’s cost-efficient, state-of-the-art traffic video analytics system can help in your transport monitoring projects.
If you would like to find out more or if you have any questions, please contact the sales team on 01296 333 499 or email sales.uk@tagmaster.com
You can also visit our website at www.uk.tagmaster.com
Our External Sales and Technical Support teams will be availing themselves to digital tools such as Zoom to replace direct customer visits with virtual meetings if desired.
Best regards,
TagMaster UK Sales & Marketing