Automating Urban Compliance: How ALUVISA Optimized AI-Powered Camera Certification with Nx Witness VMS
At a Glance
Organization: ALUMBRADOS VIARIOS, S.A. (ALUVISA), Spain
Challenge: Certifying 250 AI-powered cameras across multiple municipalities while ensuring over 97% license plate detection accuracy and managing high-volume traffic data.
Solution: Nx Witness VMS provided a scalable, efficient, and centralized solution, seamlessly integrating with Neural Labs NL Ghost AI cameras to optimize certification workflows.
Key Results: Expedited certification process for 250 cameras, achieved over 97% accuracy compliance, managed data from 5 million daily vehicle transits seamlessly, reduced processing and validation times, and enhanced operational efficiency with centralized management.
Introduction
ALUMBRADOS VIARIOS, S.A. (ALUVISA), a leader in implementing technological solutions for Low Emission Zones (LEZ) across Spain, provides the country’s only fully automated sanctioning platform certified by the Spanish Metrology Center, positioning them as an authority in urban compliance technologies.
In a recent project, ALUVISA faced the complex challenge of certifying over 250 AI-driven cameras across various municipalities in Catalonia. The process demanded compliance with stringent license plate detection and reading standards, requiring an over 97% accuracy rate while managing an immense volume of video and traffic data generated from over 20,000 daily vehicle transits per camera.
To meet these requirements, ALUVISA turned to Nx Witness VMS. Seamlessly integrated with Neural Labs’ NL Ghost AI cameras, Nx Witness offered the scalability, efficiency, and centralized management necessary to overcome the project’s complexities. The result was a high-performance solution that streamlined workflows and optimized operations for the project without compromising the quality of results or experience of the teams involved.
Challenges
Before implementing Nx Witness VMS, SSIS faced several critical limitations:
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Massive Data Volume: Each camera captured over 20,000 vehicle transits daily, generating immense volumes of footage and metadata. This created significant logistical and technical challenges in managing and organizing the data.
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Stringent Certification Standards: Meeting the required detection and reading accuracy of 97% demanded precise and reliable data collection and presentation for certifying authorities.
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Operational Complexity: Coordinating certification for 250 cameras across multiple municipalities required centralized management, seamless integration, and low bandwidth consumption to minimize IT challenges..
Solution
Nx Witness VMS, seamlessly integrated with Neural Labs cameras, provided ALUVISA with the ideal solution to address these challenges effectively. Key highlights of the deployment included:
- Centralized Management: Nx Witness enabled operators to oversee footage and metadata from all 250 cameras within a unified interface, significantly simplifying workflows and enhancing overall system efficiency.
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Optimized Data Processing: Nx Witness efficiently handled video footage and metadata from over 5 million vehicle transits per day, ensuring data was extracted and organized quickly for presentation to certifying authorities.
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Resource Efficiency: Nx Witness’ low bandwidth consumption reduced the strain on city IT infrastructure, ensuring smooth and reliable operations even with high data loads.
How it Works
Nx Witness VMS streamlined ALUVISA’s certification process with advanced tools and features:
- Real-Time Monitoring: Operators manage and monitor traffic data using intuitive tools like flexible grid interfaces, multi-camera layouts, and forensic zoom, ensuring precise oversight of critical areas.
- Event-Based Recording and Alerts: Custom Rules are implemented to trigger event-based recording, reducing storage demands while ensuring operators are notified in real-time of key detections by Neural Labs cameras.
- Smart Search and Export: Operators easily retrieve and export relevant video footage in seconds using metadata filters (license plates, vehicle classification, and speed), expediting data validation for certification.
- Advanced Analytics Integration: Nx Witness provided real-time visualization of metadata detected by Neural Labs cameras in Nx Desktop, simplifying data analysis to ensure regulatory compliance.
Results
The adoption of Nx Witness VMS delivered measurable results for ALUVISA:
- Accelerated Certification: Nx Witness significantly reduced the time required to process and organize footage and metadata for validation, expediting the certification process for all 250 cameras. Every camera exceeded the required 97% accuracy standard.
- Performance at Scale: Nx Witness seamlessly handled the feeds and metadata generated by 5 million daily vehicle transits across the network of 250 cameras, maintaining consistent and reliable performance.
- Unified System: Nx Witness enabled seamless integration with NeuralLabs Ghost AI cameras, creating a cohesive urban compliance solution tailored to ALUVISA’s needs.
- Operational Efficiency: The centralized management and advanced features provided by Nx Witness streamlined workflows, reduced processing and validation times, and ensured efficient, effective operations.
Testimonial
“Nx Witness VMS allowed us to transform a complex, labor-intensive process into a streamlined and effective workflow. Its seamless integration, centralized management, and efficient data processing have reaffirmed our commitment to operational excellence in high-impact projects.”
- Carlos Guillamon, Director of Technology at ALUVISA
Conclusion
The combination of Nx Witness VMS and Neural Labs NL Ghost AI cameras enabled ALUVISA to address the challenges of managing and certifying a large-scale network of cameras across Catalonia. This combined solution ensured compliance with strict certification standards while optimizing efficiency and streamlining operations. By leveraging advanced technologies, ALUVISA continues to deliver robust, innovative solutions that enhance compliance and sustainability in urban environments.
Technologies Used
Neural Labs NL Ghost AI Cameras, including vehicle classification and speed detection analytics
5 MP and 3 MP high-resolution sensors for LPR and environmental monitoring