Deep Visions develops AI vision technology to provide real-time monitoring of air quality, specifically targeting fine dust pollution that varies significantly across different urban environments. By offering cost-effective solutions for precise air quality measurement, the company addresses the challenge of environmental degradation and enhances public health awareness.
Funding
$440K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Existing air quality monitoring systems are often expensive and lack the granularity needed to capture localized variations in pollution levels, particularly fine dust, across urban environments. This makes it difficult to obtain real-time, precise air quality data at the street level, hindering effective public health interventions and individual protective measures.
Solution
Deep Visions utilizes AI vision technology to provide real-time, localized air quality monitoring, specifically targeting fine dust pollution. Their system offers a cost-effective solution for precise air quality measurement, enabling a more detailed understanding of pollution variations across different urban micro-environments. By providing granular, real-time data, Deep Visions empowers individuals and communities to make informed decisions and take proactive steps to mitigate the health impacts of air pollution.
Target Audience
The primary target audience includes city governments, environmental agencies, public health organizations, and individuals concerned about air quality in urban areas.
Features
- AI-powered vision technology for real-time air quality assessment.
- Cost-effective deployment for dense, localized monitoring networks.
- High-resolution data capture to identify pollution variations at the street level.