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Lanternn by Valerann uses power of Big Data

Product continuously processes data streams to deliver 100% road monitoring coverage
August 30, 2023 Read time: 2 mins
Real-time weather data is one of Lanternn by Valerann's key offerings (image: Valerann)

A leader in advanced traffic monitoring systems (ATMS), Valerann is redefining modern mobility, roadway operations and roadway safety by empowering road traffic authorities to make actionable, accurate and timely data-driven decisions. 

The advanced analytics hardware and software-agnostic solution, Lanternn by Valerann, seamlessly integrates with existing road infrastructure and uses the power of Big Data and AI/ML to ingest and continuously process data streams of any scale or structure to deliver 100% road monitoring coverage and accurate real-time road traffic situation analysis. 

This includes:

•    alerting of events and incidents
•    traffic flow status (speed, vehicle counts and density)
•    current and forecast weather conditions
•    road context (topology, infrastructure locations)
•    live CCTV cameras
•    resource monitoring, such as patrol locations using GPS tracking
•    accident risk profiling and prediction, highlighting the contributing risk factors

By improving situational awareness for road traffic authorities, as well as by delivering 100% road monitoring coverage and holistic overview of real-time road traffic situation, it enables road traffic operators to provide accurate incident response, while reducing response time, increasing road safety and optimising operational expenses.

Deployed as Software as a Service (SaaS), Lanternn by Valerann delivers all benefits of cloud-native solutions – scalability, flexible application architecture, high availability and redundancy, instant latest software updates and up-to-date security patching. 

Lanternn by Valerann is the first ATMS that is being deployed remotely, thus minimising disruption to traffic control centres’ critical environments.

Content produced in association with Valerann 

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