Cortexia provides cities with an automated measurement system utilizing intelligent vision technology to monitor urban cleanliness in real-time. This solution enables municipalities to optimize resource allocation, enhance environmental sustainability, and achieve measurable improvements in urban attractiveness and cleanliness.
Funding
$5.5M 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.
BVFounders
Product
Problem
Cities often lack real-time, objective data on urban cleanliness, making it difficult to efficiently allocate resources and measure the impact of cleaning efforts. Traditional methods of assessing cleanliness are often subjective, infrequent, and fail to provide actionable insights for optimizing cleaning strategies. This can lead to inefficient resource utilization, environmental issues, and reduced urban attractiveness.
Solution
Cortexia provides an automated urban cleanliness measurement system that uses intelligent vision technology to monitor and analyze the state of city streets in real-time. The system employs AI-powered computer vision to detect and classify different types of waste, including small items like cigarette butts. Data is collected via cameras installed on various vehicles and processed on-site using Cortexia-Box technology, ensuring privacy. The resulting data, including waste types, quantities, location, and time, is transmitted to the cloud and visualized through a web interface, providing cities with a Clean City Index that objectively measures cleanliness levels. This enables municipalities to optimize resource allocation, enhance environmental sustainability, and achieve measurable improvements in urban cleanliness.
Target Audience
The primary target audience includes municipalities, cities, and urban cleaning service providers seeking to improve the efficiency and effectiveness of their cleaning operations through data-driven insights.
Features
- Real-time monitoring of urban cleanliness using AI-powered computer vision
- Detection and classification of various types of waste, including small items like cigarette butts
- Integration with different types of vehicles (utilities, public transport, bikes, etc.)
- On-site image processing via Cortexia-Box to ensure privacy
- Automatic data transmission to the cloud via LTE
- Web interface for visualizing data, including a Clean City Index, GIS maps, and time-based curves
- Customizable alerts for critical waste levels or cleanliness issues
- Integration with Smart City initiatives through data interconnectivity and management