MineGaurd
From Subjective Inspection to Automation
Created on 5th January 2026
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MineGaurd
From Subjective Inspection to Automation
The problem MineGaurd solves
MineGuard solves the critical "blind spot" in illegal mining enforcement by replacing dangerous, slow, and subjective manual inspections with an automated, forensic-grade satellite auditing system.
1. Eliminates Physical Risk (Safety)
Illegal mining zones are often controlled by mafias, making field inspections life-threatening for officers. MineGuard allows authorities to monitor sites remotely, removing human inspectors from dangerous conflict zones while ensuring 100% coverage.
2. Transforms Subjectivity into Science (Forensics)
Current enforcement relies on visual "guesses" or simple 2D maps, which are easily challenged in court. We provide "Triple-Lock" Volumetric Intelligence—using Riemann Sums, Simpson’s Rule, and 3D TIN models—to calculate the exact volume () of extracted earth. This turns satellite data into irrefutable legal evidence.
3. Recovers Lost Revenue (Impact)
By precisely quantifying the stolen volume (e.g., 10.1 Million ), the system allows State Mining Departments to calculate exactly how much royalty was evaded. It enables the immediate issuance of scientifically backed show-cause notices to recover millions in lost public funds.
4. 1000x Efficiency Boost (Speed)
A manual survey team takes 5–7 days to inspect a single mine. MineGuard scans and analyzes a site in 12–15 seconds. This allows a small vigilance team to monitor thousands of mines across an entire state simultaneously, detecting illegal encroachment the moment it happens.
Challenges we ran into
Challenges we ran into :
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Spectral Threshold Calibration: Our initial runs yielded zero detection area due to generic NDBI thresholds. We overcame this by conducting a statistical analysis on 20 known mining vs. non-mining samples, mathematically deriving a custom optimal threshold of 0.07 to ensure accurate identification.
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Volumetric Visualization: Conveying depth data on a flat screen was a major hurdle. We integrated the Plotly library to render interactive, true-to-scale 3D "Digital Twins," allowing users to visualize the pit topology intuitively.
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Eliminating False Positives: Ensuring forensic-grade accuracy was difficult with a single sensor. We solved this by engineering our proprietary "Triple-Lock" Model, which fuses Optical (Sentinel-2), Radar (Sentinel-1), and Depth (DEM) data to cross-verify every pixel before flagging it.
Technologies used