# Objects as Universal Geolocation Cues: A Computer Vision Approach

Canonical URL: https://markscanlon.co/publications/ObjectsAsUniversalGeolocationCues

CSL-JSON: https://markscanlon.co/publications/ObjectsAsUniversalGeolocationCues.csl.json
BibTeX: https://markscanlon.co/publications/ObjectsAsUniversalGeolocationCues.bib
RIS: https://markscanlon.co/publications/ObjectsAsUniversalGeolocationCues.ris

Authors: Kanwal Aftab; Mark Scanlon
Venue: 13th Annual Digital Forensics Research Workshop Europe (DFRWS EU 2026)
Year: 2026
PDF: https://markscanlon.co/publications/ObjectsAsUniversalGeolocationCues.pdf
Full text: https://markscanlon.co/publications/ObjectsAsUniversalGeolocationCues.full.md

## Contribution Summary

The authors present a three-stage pipeline for indoor geolocation using electrical plug sockets as universal visual cues. The approach involves socket detection, socket type classification, and geolocation. The method is evaluated on a dataset of hotel images and achieves high accuracy in geolocation. The proposed approach has the potential to assist law enforcement in identifying potential trafficking hotspots and combating crimes such as human trafficking and child exploitation.