Noema Snow Detection
The dedicated snow detection application from NOEMA uses cutting edge digital ruler and water segmentation technology to deliver real-time insights and alarm notifications relating to water levels and floods.
Key Features
Digital Rulers
Digital Ruler
Digital staff gauges or rulers are applied to the image for a contactless approach to measuring and monitoring levels of snow.
Data
The application generates easily digestible metadata that can be sent to a snow monitoring system where snow levels are recorded and tracked in real-time. The generated data can be separated out to the original, or augmented frame with a timestamp of the event and information related to snow levels.
Notifications
Alarm thresholds can be set for each virtual ruler and these events can be sent in real time to an intended recipient such as an Operation Control Centre. A camera image can be attached to these alerts.
With climate change intensifying extreme weather patterns, including severe snowstorms, the need for cutting-edge technology to predict, manage, and mitigate their effects is more urgent than ever.
Snow Segmentation
Snow Segmentation
This application can be configured to cover a predefined area which it will monitor for snow coverage. When the snow reaches a custom defined threshold then an alarm event is triggered.
Combined
It is possible to use both elements of the computer vision technology at the same time. The digital ruler and the snow segmentation.
Remote Application
The application runs at the edge, either on a smart camera, AI-enabled device or AI box and can be configured remotely. Distributing Artificial Intelligence computing to the Edge greatly reduces latency and bandwidth requirements for the AI systems to function effectively. Instant notification gives your crucial time.
Edge Side Analysis
The computer vision applications are installed and run directly on board an industrial Ai device. This reduces the network load and only events of interest are sent to external systems.
Server Side Analysis
Analysis of the video stream is undertaken by the computer vision application on-board the server. With greater processing power the servers provide the ability to analyse multiple video stream simulateaneously and at higher frame rates.
Ai Ecosystem
Early Warning
Operating 24/7 the Ai computer vision application provides real-time monitoring of vast areas and automates the process of snow detection, eliminating the need for manual monitoring.
Cutting Edge Ai Devices
The Ai hardware transforms existing cameras, enhancing their function through Ai technology and deep learning models. It comes preloaded with the computer vision application. Multiple applications can be loaded onto the appliance and used simultaneously.
Software
Software applications and programs receive the generated data for visualisation or to perform specific tasks.
Key Benefits
Scalable
Snow detection systems can be deployed in remote inaccessible areas or in urban environments where traditional sensors are impractical .
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The system can easily be scaled to cover large geographical areas, especially if optical sensors from survelliance networks are utilised
Cost Effective
Although there are initial setup costs, the system proves more cost-effective in the long term than traditional monitoring methods. It offers task automation, remote configuration, and utilises existing survellaince infrastructure, reducing the need for extensive human resources.
Accurate
Advanced computer vision algorithms can accurately identifysnow-related features such as , submerged objects, or changes in terrain morphology, minimising false alarms and ensuring reliable detection.
Neologic is a Technology partner providing cutting edge Ai computer vision solutions for Flood Detection. In collaboration with our channel partners, we can provide a complete solution that comprises of optical sensors, flood detection algorithms, Ai hardware and communication equipment.
The Ai Snow Detection system alerts authorities and communities to impending events in advance, enabling them to take preventative action like deploying emergency response teams or dynamically altering transportation routes through signage.
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