Satellite analytics flag forced labour indicators at remote worksites

Machine learning applied to satellite imagery is helping investigators identify informal worker housing, night-shift patterns and unregistered facilities in high-risk regions.

Investigative groups are pairing satellite imagery with supplier location data to detect indicators of forced labour: undeclared dormitory blocks, fenced compounds and facilities operating around the clock in regions associated with state-imposed labour transfers.

Compliance teams increasingly use the same tooling defensively, verifying that declared supplier addresses match real production sites before onboarding.