Environmental Monitoring

Combining geospatial analysis and AI for environmental compliance support.

A drone hovers in the air against a backdrop of rolling hills with a small waterfall cascading down the rocky terrain.
A drone hovers in the air against a backdrop of rolling hills with a small waterfall cascading down the rocky terrain.
Drone Data Analysis

Utilizing drones for environmental violation detection and monitoring.

A drone with a sleek, metallic design flies amidst a natural setting. The rotors are visible, and the background features lush green trees and soft sunlight filtering through the leaves.
A drone with a sleek, metallic design flies amidst a natural setting. The rotors are visible, and the background features lush green trees and soft sunlight filtering through the leaves.
AI Optimization

Fine-tuning AI for regulatory compliance and inspection guidance.

A drone hovers in the air against a blurred forest background. The foreground features snow, suggesting a cold environment. The drone's details are clear, showcasing its camera and rotors in motion.
A drone hovers in the air against a blurred forest background. The foreground features snow, suggesting a cold environment. The drone's details are clear, showcasing its camera and rotors in motion.
A drone is in flight against a backdrop of green foliage. The device, with a sleek, metallic gray body, appears to be a quadcopter model with four propellers, displaying a camera at its front.
A drone is in flight against a backdrop of green foliage. The device, with a sleek, metallic gray body, appears to be a quadcopter model with four propellers, displaying a camera at its front.
Mission Support

Providing optimized routes and documentation for officers.

Human Evaluation

Incorporating human feedback for continuous improvement and accuracy.

gray computer monitor

This study will adopt a hybrid design combining geospatial data analysis, mission language modeling, and regulatory text processing. First, drone-collected aerial images, GPS flight logs, and thermal/gas sensor readings will be tagged with environmental violation categories (e.g., open burning, unauthorized landfill). Second, GPT-4 will be fine-tuned using flight regulations, environmental inspection guides, and pollution reporting templates. Using OpenAI’s API, an assistant will be developed to help environmental officers input mission objectives and receive: (a) optimized patrol routes, (b) expected violation indicators to track, and (c) documentation support. Human-in-the-loop evaluation will validate outputs using real case studies and expert feedback from regulatory agencies.

The optimized patrol routes and documentation support have significantly improved our environmental inspection efficiency.

A drone is hovering in the air against a blurred green background. The drone is compact with visible propellers spinning rapidly. Its camera is prominently displayed on the front, indicating that it is likely used for aerial photography or videography.
A drone is hovering in the air against a blurred green background. The drone is compact with visible propellers spinning rapidly. Its camera is prominently displayed on the front, indicating that it is likely used for aerial photography or videography.

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Insights

Leveraging data for environmental compliance and inspection.

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