AI for Noise Measurement
AI identifies different noise types through automated noise source identification. Understanding the exact source of unwanted noise helps us to
AI for Environmental Monitoring
Advanced AI solutions for monitoring noise, air, and water.
AI Applications in Environmental Monitoring
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Noise Impact Reporting
Streamline the process of noise measurement and noise source assessment to reduce costs and time to market
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Reduce Aviation Noise
Detect behaviour and practices in the aviation industry that drive noise in airports and surrounding areas
why use AI for environmental
monitoring?
Actionable Insights
Enable your client to take fast, data-
driven decisions
data quality
Increase accuracy of sensors in the
toughest conditions
Resilience
Reduce sensors downtime and minimize
maintenance cost
AI for environmental monitoring
projects
Achieve 99% accuracy in air quality monitoring with supervised learning
To address flaws of air sensor systems, Gemmo AI have created an API to accurately monitor air quality autonomously.
A new noise API for sound classification in building sites
Noise pollution monitoring devices manufacturer Sonitus Systems partnered with Gemmo to design a noise API for sound classification, which automatically
