Capture road user critical conflict data and behavioural insights to identify proactive countermeasures and prevent crashes.
Request a DemoOur cutting-edge Artificial Intelligence and Computer Vision technology enables the measurement of reliable and accurate surrogate road safety risks at low costs.
We utilise a combination of Internet of Things enabled hardware, latest software, sophisticated deep learning techniques and extensive domain expertise to extract in-depth insights from video data.
The solution begins with the Realite Tower, a versatile, self-powered camera hardware designed for easy, temporary deployment. This compact and environment-immersive unit collects high-quality video data from various locations, particularly in areas without existing infrastructure.
The collected data is then processed by our proprietary AI, Lyra. Leveraging advanced machine learning and computer vision, Lyra analyses the video footage to detect surrogate road safety measures and assess potential risks. Its sophisticated algorithms provide accurate,actionable insights for proactive safety management.
Finally, data is managed and stored in the Realite Data Platform. This secure, cloud-based platform handles data storage, applies business rules and algorithms, and features a comprehensive dashboard for monitoring and analysis. The platform enables decision-makers to access detailed insights and make informed, data-driven decisions.
The project aimed to evaluate the safety benefits of the SRAS treatment by the Victorian Department of Transport, by assessing the speed reduction (crash severity), gap acceptance changes and Post Encroachment Time (crash likelihood) at a total of 9 intersections. RTT deployed state-of-the-art computer vision...
Learn MoreWhere real world coordinates meet a pixel on an image. At Real Time Traffic, we use computer vision extensively to capture data used by traffic engineers and policy makers to make our roads safer. Computer vision allows us to extract many traffic safety variables from...
Learn MoreA World First Real Time Performance Tracking of Replacement Buses with Real Time Traffic
Learn MoreWhere real world coordinates meet a pixel on an image. At Real Time Traffic, we use computer vision extensively to capture data used by traffic engineers and policy makers to make our roads safer. Computer vision allows us to extract many traffic safety variables from...
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Product Support:
support@realtimetraffic.com.au
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