Localized Models for Every Terrain, Climate, & Context
Change detection isn’t a one-size-fits-all solution. Different environments require highly specialized models to ensure accuracy and relevance. Aetos AI enables the localization of pre-trained models, adapting them to regional characteristics for unparalleled precision.
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Localized AI Model Training
Fine-tune models with client-specific datasets (e.g., historical imagery, elevation profiles, and proprietary geospatial data).
Recognize region-specific patterns, such as vegetation density, infrastructure types, and cultural land-use norms.
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Dynamic Adaptation Through Feedback Loops
AI models continuously improve by incorporating real-time field data captured through Aetos GO.
Adapt to unique environmental factors such as seasonal changes, urban clutter, or disaster impacts.
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Minimized False Positives with Context Awareness
Align AI workflows with local threats and priorities
Achieve context-aware insights by integrating topography, cultural data, and operational nuances.
A Versatile Solution Across Diverse Contexts
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Building Creation in Dubai
Building Demolition in Dubai
Road Construction Monitoring
Green cover change
Blue Infrastructure change
3/2024
6/2024
3/2024
6/2024
3/2024
6/2024
10/2022
1/2023
10/2023
11/2023
Empowering Intelligence with Cutting-Edge Features
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Time-Series Analysis
Track changes over days, months, or years using historical and real-time datasets.
Detect gradual trends or sudden anomalies to anticipate developments.
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AI-Driven Automation
Fully automated workflows powered by machine learning algorithms for rapid, accurate change detection.
Eliminate manual data processing, reducing human error and operational overhead.
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Super-Resolution Technology
Combine data from optical, SAR, and LiDAR sensors for unmatched detection accuracy.
Ensure resilience in adverse weather or low-light conditions.
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Real-Time Alerts
Integrate directly with Aetosky’s ecosystem, including Aetos Cube, Athena, and Aetos Canvas, for visualization, analysis, and reporting.
Export change detection results for use in custom GIS platforms or third-party tools.
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Seamless Integration into Operational Workflows
Integrate directly with Aetosky’s ecosystem, including Aetos Cube, Athena, and Aetos Canvas, for visualization, analysis, and reporting.
Export change detection results for use in custom GIS platforms or third-party tools.
From Data to Decisions, Powered by AI Agents
Uninterrupted Workflow
From data collection to actionable insights, the entire change detection process is managed by interconnected AI agents.
Scalability
AI-driven automation handles vast AOIs and TOIs with ease, allowing teams to monitor multiple locations simultaneously.
Consistency
Automated workflows ensure uniform analysis across regions and datasets, reducing human bias and error.
Rapid Response
Immediate alerts and insights allow organizations to act faster, saving critical time during operations.
What Makes Aetosky’s Change Detection Unrivaled?
AI SUPER-RESOLUTION INTERGRATION
Enhance the clarity of low-resolution imagery using Aetosky’s Super-Resolution Engine, improving feature recognition and anomaly detection.
MULTI-SENSOR FUSION
Seamlessly combine data from optical, SAR, and LiDAR sensors for robust detection, even in challenging conditions such as cloud cover or dense vegetation.
CUSTOMIZABLE DETECTION THRESHOLDS
Define operationally significant change thresholds based on size, duration, or location, tailoring the system to mission-specific needs.
SECURE, SCALABLE, INFUSTRUCTURE
Cloud-Based: For high-speed processing and global accessibility.
On-Premises Deployment: Ensures data sovereignty and compliance with military-grade security standards.
INTEGRATION WITH TIME-SERIE WORKFLOW
Leverage Aetos Cube to store and compare historical data, enabling long-term trend analysis and predictive insights.
Discover how Aetosky can modernize your GEOINT operations
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