SMART ENVIRONMENTAL MONITORING
Unearth Real-Time Insights with AI
Our world is complex. Let Deep Learning reveal it
Welcome to the place where meaningful ideas are nurtured,
transformed and launched
With Deep Learning, sensors get better over time
Achieving Pinpoint Accuracy with AI-Driven Data Analysis
Artificial Intelligence is changing how we monitor our environment.
While sensors can reveal a certain amount about environmental conditions and their impact on our health and well being, AI – and in particular Deep Learning – increases the accuracy of sensors over time.
Change how you maintain and manage your sensors
More accurate, more valuable. For you and the planet
When it comes to health and safety, your data can never be too accurate. Our Deep Learning solutions have a proven track record in optimising environmental monitoring.
Noise And Audio
- Audio labelling
- Root-cause analysis
- Trend-analysis
Hydrology & Air Quality
- Predictive maintenance
- Measurement in harsh conditions
Geohazards
- Decision support
- Risk assessment
Deep learning for Machinery Manufacturing
Benefits
Data Quality
Increase accuracy of sensors in
the toughest conditions.
Resilience
Reduce sensors downtime and minimise maintenance cost.
Actionable Insights
Enable your clients to take fast, data-driven decisions.
Examples
AI for Noise Measurement
AI identifies different noise types through automated noise source identification. Understanding the exact source of unwanted noise helps us to mitigate it
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 recognises and labels sounds. Noise
