AI / Machine Learning / cv-12
Satellite Asset Change Detector
Turns image and video streams into automated inspection, safety, and operational intelligence.
Commercial Scale
$43,700 USD
Risk Reduced
Automation Reliability
Executive Situation
Infrastructure analysts needed to detect facility expansion, road changes, and land-use shifts across large geographies without manually reviewing imagery.
Modular Solutions Response
We trained a Siamese change detector on paired satellite captures with seasonal normalization and cloud masking. The pipeline clusters changes into asset-level events and stores geospatial polygons for analyst review.
Industry
Energy
Category
Computer Vision & Spatial Intelligence
Specialty
Retraining
Evidence Basis
Model + MLOps
parameters
74M Siamese segmentation model
latency
11.6 sq km/min
training
154 GPU hours
loss
L = BCE(change) + Dice(mask)
Enterprise Security Gate
Network Access Restricted.
Detailed files, client-specific assumptions, and delivery channels remain controlled.