Case study of
#00098 AI and machine-vision litter auditing for objective measurement
United Kingdom
#00111
OngoingNational
Implementer
Ellipsis Earth
Location
United Kingdom54.7024, -3.2766
Description
Ellipsis Earth applies machine-vision AI to imagery to map and quantify litter density, enabling objective before-and-after measurement of litter interventions. It provided the auditing data behind Hubbub's Ballot Bin and Big Ballot Bin evaluations, demonstrating a replicable model where an AI auditing firm is contracted to measure intervention impact rather than relying on volunteer counts.
Lessons learned
- Machine-vision auditing produces objective, repeatable before/after litter density data that volunteer counts cannot reliably replicate — useful when an intervention needs credible impact evidence.
Documented Jun 26, 2026