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PATTERN Project

Pattern Project

16 hours 38 minutes ago

PATTERN uses cloud-native orchestration (Kubernetes) to deploy and manage its services. Making the platform scalable across cities and regions. 🔗 patternproject.eu/ 

Pattern Project

17 hours 38 minutes ago

During the trial, PATTERN successfully:
✔ anonymised video streams
✔ tracked traffic flows
✔ detected anomalies
✔ visualised KPIs
All within a single integrated platform.

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Pattern Project

21 hours 9 minutes ago

PATTERN’s database is optimised for time-series data, enabling fast queries on large traffic datasets. Critical for real-time dashboards and analytics. 🔗 patternproject.eu/

Pattern Project

21 hours 37 minutes ago

The platform uses Kafka message streaming to handle large volumes of traffic data in real time. Ensuring scalable and reliable communication between components. 🔗 patternproject.eu/

Pattern Project

1 day 16 hours ago

PATTERN integrates multiple AI modules into one pipeline: VideoAnony → CATFlow → VideoAnomaly Each step adds value—from privacy to insights. 🔗patternproject.eu/ 

Pattern Project

1 day 18 hours ago

A key challenge during the trial? ⚙️ GPU and CPU bottlenecks when processing 6 simultaneous streams. This insight is helping optimise future deployments. 🔗 patternproject.eu/

Pattern Project

1 day 19 hours ago

PATTERN handled real-time data streaming + offline analysis simultaneously, combining live monitoring with deeper insights. A hybrid approach for smarter mobility systems. 🔗patternproject.eu/

Pattern Project

1 day 21 hours ago

To analyse anomalies, PATTERN processed video snippets in 5-minute intervals, enabling targeted detection of rare events.
Smart processing = efficient AI.
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Pattern Project

2 days 16 hours ago

A great moment for the PATTERN Project at Intertraffic 2026 👏 From engaging with industry leaders to presenting how AI-driven analytics can improve traffic monitoring

Pattern Project

2 days 16 hours ago

AI-powered anomaly detection in PATTERN identifies events like:
🚨 accidents
🚑 emergency vehicles
⚠ unusual behaviour

Each tagged with a confidence score and description.
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