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EMAIL: contact@disaitek.ai

Basics of Our Solution
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Our platform automates the detection and monitoring of littering and illegal landfills using very high-resolution optical imagery and advanced AI algorithms.
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Satellites are programmed to capture imagery several times a year, with the frequency ranging from 10 to 20 times annually, depending on customer needs and area coverage.
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Advanced data processing and AI models ensure accurate detection and reporting.
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Seamlessly integrates detected waste piles into the platform, including a unique identifier, location, detection date, shape, surface area, and volume of the waste pile.
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Access the platform through a secure web application or integrate it directly with your systems via our API.
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Leverage additional open-source data layers for in-depth spatio-temporal analysis, supporting more informed decision-making.

Key innovations

Comprehensive Detection
Our platform leverages advanced AI algorithms and high-resolution satellite imagery to identify and monitor all instances of illegal landfills and littering across vast geographic areas, ensuring no waste goes unnoticed.
Early Detection
By analyzing temporal satellite data, our system identifies new waste deposits at their inception, enabling swift action to mitigate environmental impact and reduce cleanup costs.
Automated detection
Eliminating the need for manual monitoring, our fully automated detection system continuously scans and updates landfill data, enhancing efficiency and reducing operational overhead.
Risk assessment
Integrated risk assessment modules evaluate the potential environmental and health impacts of detected waste sites, allowing organizations to prioritize interventions based on severity and urgency.
Collaboration
Our platform facilitates seamless collaboration between stakeholders—such as local authorities, environmental agencies, and waste management companies—by providing shared access to real-time data and insights.
Analytics
Analyse flows and stock of dumping events over time and geography, get heat map of concentration, segment areas according to desnity, rate of change, and spatiotemporal correlation with public layers (building permits, IPPC, etc.)
Our Services
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Flexible Subscription Options: Choose between an annual subscription or a one-time analysis tailored to your needs.
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Unlimited Access for Stakeholders: Allow an unlimited number of stakeholders and end-users to promote seamless, cross-functional collaboration.
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Secure Online Platform: Access our secure platform online, using personalized credentials for each end-user.
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Satellite Imagery Acquisition: We handle the programming of satellite imagery acquisition on your behalf, or we use your images.
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Acquisition Strategy; We can adapt the strategy in term of acquisition to monitor more frequently over areas prone to high density illegal dumps and less over low density areas. Based on our experience we can segment areas in low, middle and high density.
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Use Your Own Imagery: Integrate and process your existing imagery within the platform if preferred.
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Rapid Data Processing: Receive full processing of imagery within 24 to 48 hours after each satellite acquisition.
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Real-Time Notifications: Users receive instant notifications when data is integrated into our platform or delivered via API.
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Specialized Location Layers: Access specialized data layers based on your location, including official land registration, building permits, and authorized waste management installations.
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On-Demand Custom Reports: Request customized reports tailored to your specific needs.
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End-User Support and Training: Comprehensive support and training are provided to all end users.
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Data Integration for Informed Decisions: We integrate all relevant land-related data to empower informed decision-making.
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Flexible Export Options: Export data in any format or through APIs to seamlessly integrate with your GIS systems.
Our environment from above
A serie of waste observed from space (near 700km above) with Airbus Pleaides satellite and localised by Disaitek's AI algorithms over 2000km2 area. For some we added the semantic segmentation from AI.
And some illustrations of our platform.

This project has been funded by Région Île-de-France and Bpifrance

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