VideoAnony: Real-Time Video Anonymization for GDPR-Compliant Traffic Monitoring
This video showcases VideoAnony, an AI-powered component developed within the PATTERN project to anonymize live video streams by automatically detecting and blurring faces and vehicle license plates in real time.
Integrated into the PATTERN platform, VideoAnony enables GDPR-compliant traffic monitoring and video analytics while protecting personal privacy. The demonstration includes footage from the Malta trial, where the system was tested in busy urban traffic conditions and successfully anonymized sensitive information without compromising data usability.
VideoAnomaly: AI-Powered Traffic Anomaly Detection
This video demonstrates VideoAnomaly, an advanced AI component developed within the PATTERN project to automatically detect and analyse unusual events in traffic footage.
Using state-of-the-art vision-language and large language models, VideoAnomaly enables operators to identify events such as jaywalking, emergency vehicle passages, and potential collisions through simple natural language prompts. The system provides anomaly scores, timestamps, and explainable descriptions, helping users quickly understand what happened and when.
Integrated into the PATTERN platform through MARVdash, VideoAnomaly supports smarter, safer, and more efficient road infrastructure management through AI-driven video analytics.
MARVdash: Simplifying AI Service Deployment on Kubernetes
This video demonstrates MARVdash, the cloud-native dashboard used within the PATTERN project to simplify the deployment, management, and monitoring of containerized services on Kubernetes.
Through an intuitive web interface, MARVdash enables users to launch services, manage files, deploy templates, monitor performance, and access logs without requiring advanced Kubernetes expertise. The platform supports secure multi-user environments, GPU resource sharing, and seamless integration with monitoring tools such as Grafana, Prometheus, and Loki.
Watch how a fully functional service can be deployed in just a few clicks, making cloud orchestration accessible to both technical and non-technical users.
FBK Technologies: VideoAnony & VideoAnomaly
This video showcases two AI-powered technologies developed by FBK and integrated into the PATTERN platform:
- VideoAnony – a real-time video anonymization tool that automatically detects and blurs faces and vehicle license plates to ensure GDPR-compliant processing of traffic footage.
- VideoAnomaly – an AI-based anomaly detection tool that identifies unusual traffic events through natural language prompts, providing timestamps, anomaly scores, and explainable descriptions.
Together, these technologies enable privacy-preserving traffic monitoring and intelligent analysis, supporting safer, smarter, and greener road infrastructure.
CATFlow: Real-Time Traffic Monitoring and Analytics
This video showcases CATFlow, a computer vision solution developed by Green Roads Limited and integrated into the PATTERN platform for real-time traffic monitoring and analysis.
CATFlow automatically detects and tracks pedestrians and multiple vehicle types, including cars, buses, motorcycles, bicycles, and heavy goods vehicles. By processing live camera streams, the system generates anonymous traffic data such as vehicle counts, speeds, trajectories, and movement patterns, supporting data-driven decision-making for road infrastructure management.
The collected data is visualized through key performance indicators (KPIs) and statistics, providing valuable insights into traffic flow while preserving privacy.
Smarter Roads, Smarter Cities – From Research to Real-World Impact
This video introduces the PATTERN project and its vision of transforming research results into practical solutions for smarter, safer, and more sustainable urban mobility.
PATTERN bridges the gap between completed research and real-world deployment by converting validated Horizon 2020 outcomes into a scalable Software-as-a-Service (SaaS) platform. Through AI-powered analytics, cloud technologies, and real-world testing in Malta, the project is preparing the ground for large-scale adoption of intelligent road infrastructure solutions across Europe.
Discover how PATTERN is creating a pathway from innovation to deployment, supporting smarter roads, smarter cities, and sustainable mobility for the future.
Malta Trial Platform – Real-World Traffic Analytics in Action
This video demonstrates the PATTERN Malta Trial Platform, showcasing how AI-powered services were deployed and tested using real-world traffic data collected from key road intersections across Malta.
The platform combines VideoAnony, CATFlow, VideoAnomaly, MARVdash, Kafka, and cloud infrastructure to provide privacy-preserving traffic monitoring, anomaly detection, and traffic analytics. During the Malta trial, anonymized camera streams were processed in real time to generate traffic insights, detect unusual events, and visualize key performance indicators through an intuitive dashboard.
The trial highlights how PATTERN transforms research-driven innovation into practical tools that support smarter, safer, and more sustainable urban mobility.