PANDAS-V®
Overhead Line Monitoring using Edge AI
Pantograph Flip
Our innovative solution addresses the critical issue of pantograph flip, ensuring reliable contact with the overhead catenary system and enhancing the operational integrity of rail networks through advanced AI monitoring.
Arcing
Arcing, a significant railway safety concern, can lead to power fluctuations or even electrical failures on trains, potentially risking passenger well-being. By employing real-time monitoring for pantograph arcing, rail operators can swiftly detect and address such issues, ensuring service reliability and passenger safety. Our PANDAS-V® system also provides valuable data analytics for proactive maintenance planning, which ultimately reduces downtime and associated costs.
Bird Nests
Our catenary monitoring solution tackles the challenges posed by birds’ nest, ensuring unobstructed operations and prioritising railway safety and efficiency. For example, a nest was reported and removed within the same day by maintenance crews. “This poses a risk as bird’s nests within 600mm of 25kV live parts can cause a short circuit and part the catenary conductors”. – Network Rail.
Foliage
Our advanced remote monitoring system features real-time foliage detection, alerting users to the proximity of foliage within predefined distances, ensuring proactive risk management.
Carbon Chips
Carbon chip disruptions pose a persistent challenge for fleets. Our PANDAS-V® system pinpoints locations causing repetitive carbon damage, thereby optimising fleet performance and improving safety.
Uplift Force
The detection of uplift force is essential for maintaining smooth and reliable train operations. Our PANDAS-V® camera system helps assess the dynamic interactions between the pantograph and the contact wire, ensuring a constant and uninterrupted power supply. By monitoring the uplift force, operators can prevent pantograph dewirement and potential damage.
Infrastructure Mapping
PANDAS-V® is capable of generating digital maps of the rail overhead line infrastructure. This process involves creating an accurate, geo-referenced model of all key overhead components, including masts, wires, gantries, and associated equipment. These detailed digital representations support improved planning, maintenance, and asset management across the rail network.
Object Detection
PANDAS-V® is capable of detecting infrastructure objects using AI by employing machine learning models trained to automatically identify and classify rail elements such as signals, masts, cables, and track components from video data.
Dropper Wire
PANDAS-V® performs edge AI processing on every video frame to detect faults in overhead rail wires, enabling near-instant reporting to key stakeholders for rapid response and decision-making.
How AI computer vision is transforming railway operations
Our advanced machine learning algorithms rationalise data from our IoT solutions, providing railway stakeholders with real-time, business critical intelligence and alerts. This plays a crucial role in determining the severity of incidents, distinguishing between new and recurring issues, and determining the rate at which a recurring problem is escalating.
Our high-definition pantograph camera captures videos in real-time at 60 FPS.
Our onboard camera system analyses each frame in real-time using Edge AI processing.
Data is sent to the GDN® and plotted.
Detection events and deviations from the baseline are reported to key stakeholders.
PANDAS-V® - a Global Pantograph Monitoring System
Discover how PANDAS-V® uses advanced artificial intelligence to deliver predictive monitoring insights and proactive maintenance solutions. Our AI-powered system detects critical rail incidents in real-time, helping you stay ahead of potential issues.
Fill out the form below to learn more about how AI can elevate your network’s safety and efficiency.
I’ve informed the local DU who were not yet aware. They are now responding. This will likely be a block to electric traction until the bar can be replaced, as well as on site inspection.
Early warning on this type of issue is incredibly valuable. Without PANDAS it’s entirely possible our first indication of the issue could have been a dewirement.
Keen to discuss a way to fast track this type of issue to a response team in future.
The PANDAS-V® system will undoubtedly contribute to reducing the number of de-wirements, each costing ca.£1m to resolve, as well as the critical safety and operational impacts.
A multi-award winning system – setting the standard in rail innovation
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This advanced system revolutionises rail industry practices by offering affordable and scalable remote condition monitoring solutions for electrified train pantographs and overhead lines. By addressing maintenance challenges and enhancing efficiency, PANDAS-V® transforms rail operations and sets new standards for monitoring and maintenance in the industry.