Environmental Noise Management with SvanNET AI

SvanNET AI is a powerful tool for environmental noise management in the UK. It uses advanced machine learning to monitor, identify, and categorise noise sources in real-time. This helps cities implement targeted noise reduction measures, improving urban living conditions and public health.

Discover the Future of Environmental Noise Management with SvanNET AI

In the bustling urban landscapes of the UK, managing noise pollution is more critical than ever. Enter SvanNET AI, a cutting-edge solution designed to revolutionise environmental noise management.

Why SvanNET AI?

SvanNET AI leverages advanced machine learning algorithms to monitor, identify, and categorise noise sources in real-time. Whether it’s the constant hum of traffic in London, the industrial sounds of Manchester, or the construction noise in Birmingham, SvanNET AI provides precise and actionable insights.

Key Benefits:

Accurate Noise Source Identification: With the ability to classify sound sources into 28 distinct categories, SvanNET AI ensures that every noise event is accurately identified and categorised.
Real-Time Data Analysis: Receive immediate feedback on noise pollution levels, enabling swift and effective responses to emerging issues.
Comprehensive Reporting: Generate detailed reports complete with prediction confidence levels and data visualisations, making it easier to interpret and act on noise data.
Enhanced Urban Living: By supporting targeted noise reduction measures, SvanNET AI helps improve the quality of life for residents across the UK.

Applications Across the UK:

Urban Noise Management: Assist local authorities in implementing effective noise control strategies.
Environmental Monitoring: Protect sensitive areas such as wildlife reserves and residential zones.
Industrial Noise Control: Ensure factories and industrial sites comply with noise regulations.
Transportation Noise Monitoring: Manage noise pollution from airports, railways, and highways.
Public Health and Safety: Support public health initiatives by providing real-time data on noise pollution.

Join the growing number of UK professionals who are transforming their approach to noise management with SvanNET AI. Embrace the future of noise control and make a tangible difference in your community.

Wireless Vibration Monitoring for the UK

Advanced Vibration Analysis

The SV 803 employs FFT analysis to determine the dominant vibration frequency in compliance with BS and DIN standards. Additionally, it offers the option to analyse RMS or PEAK velocity spectra in 1/3 octave bands, allowing for precise comparison with user-defined curves. These features make it ideal for applications requiring adherence to strict regulatory standards.

Unmatched Power Efficiency

With a battery life of up to 6 months, the SV 803 ensures uninterrupted performance in remote locations. For extended use, it can be connected to a solar panel, providing a sustainable power solution for ongoing operation.

Transform urban noise management with the SV 303

Urban Noise Monitoring Redefined

Why choose the SV 303?

The SV 303 combines cutting-edge technology with affordability, delivering real-time noise monitoring capabilities tailored for smart city applications. From the bustling streets of London to the industrial hubs of Birmingham, the SV 303 provides precise and actionable data for effective noise management.

Key Features and Benefits

Class 1 Accuracy: Fully compliant with BS EN 61672 standards, ensuring reliable, precise measurements across diverse urban environments.
Real-Time Noise Mapping: Instantly assess noise pollution levels, enabling swift action and targeted solutions.
Lifetime Microphone Warranty: A patented MEMS microphone with a lifetime guarantee ensures long-term reliability and durability.
Affordable Multipoint Monitoring: Cost-effective deployment allows extensive monitoring across cities, making it ideal for councils and planners.
Seamless Integration: USB and UART interfaces enable easy integration with existing monitoring systems for air quality, weather, and more.