The Challenge
Every year, road accidents claim an estimated 1.3 million lives and injure 50 million more—an average of 3,500 fatalities daily.
However, hardware limitations and coverage gaps hinder full network visibility, reducing the effectiveness of infrastructure. While the rise of connected vehicles, navigation apps, social media, and other emerging technologies has introduced an abundance of real-time traffic data, this data is often fragmented, inconsistent, and overwhelming. As a result, road operators are still heavily reliant on manual traffic management processes, leading to inefficiencies in incident detection and response.
We improve road traffic management and safety by increasing response accuracy and reducing response time through real-time processing of road traffic-related data. We improve situational awareness of road traffic authorities by delivering highly accurate and comprehensive information on road traffic situation, thus empowering them to take timely, accurate, data-driven operational decisions.
Lanternn by Valerann ™ (LbV) is a hardware and software agnostic data analytics platform that ingests any available road traffic-related data and delivers a comprehensive overview of road traffic situation and risk profiling in real time. Run on the cloud, LbV can be deployed as a standalone solution or as a part of an existing stack. By delivering real-time and long-term insights tailored to the needs of each road and control center, LbV transforms how operators manage their networks—enhancing situational awareness and enabling faster, more effective responses.
Our vision is to introduce the biggest improvement in road safety since the seat belt, using data.
Lanternn by Valerann™ offers a comprehensive suite of capabilities designed to enhance road safety, optimize traffic management, and improve operational efficiency.
Detect and verify in real time with AI-powered alerts for incidents, stopped vehicles, hazards, and anomalies. Using computer vision for CCTV analysis and fusing live traffic data with key indicators, each event is accurately validated and contextualized to confirm its location and impact.
Rapid resource allocation, automated dispatch of the nearest response vehicle, and real-time driver communication via VMS and integrated channels.
Gain full situational awareness with a real-time, unified view of traffic flow using data from floating sources, such as navigation and crowdsourcing applications. Monitor traffic conditions and assess incident impact instantly for smarter, faster decision-making.
Identify high-risk areas in real time by analyzing current traffic flow conditions, combined with historical accident data, and predefined rules. Proactively deploy response resources to mitigate risks and enhance road safety.
Operators are informed with real-time visual and audio alerts for incidents, hazards, and risks requiring immediate attention. They can seamlessly relay critical updates to drivers through integrated communication channels, including social media. Information is also distributed to patrol drivers, ensuring all parties are aligned, enabling a swift, coordinated response to incidents.
Reduce KSI (killed or seriously injured) accidents by 14%.
Detect incidents up to 17 minutes faster.
Detect 40% more preventable risks.
Respond 25% faster.
Achieve 100% road monitoring coverage.
Reduce congestion and carbon emissions.
Enhance operational efficiency.
Improve driver satisfaction.
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