Technical deep dives and insights into aerial detection technology
The most comprehensive drone-based illegal dumping dataset ever assembled in a US city. Full pipeline analysis: 37.6-hour median detection-to-cleanup, 62% dumpsite recurrence rate, waste classification breakdowns, AI training pipeline, and hardware specs across 700+ flights and five neighborhoods.
Read articleThe city's Public Works Department has put forward a six-month, $150K pilot program that would deploy AI-powered drone technology to identify and report illegal dumping across Oakland neighborhoods. Includes CBS News coverage and committee meeting video.
Read articleAerbits' patent journey for our core technology - "System and Method for Identifying Trash Within a Predetermined Geographic Boundary Using Unmanned Aerial Vehicles."
Read articleFrom neighborhood meetings to a signature campaign that generated hundreds of emails to SF leadership, the Bayview community drove the program from the ground up. Features the BHNA partnership, IDCon conference presence, and the community-first model now being replicated in Oakland.
Read articleOver 13 months in San Francisco's Bayview-Hunters Point, AI-powered aerial monitoring produced quasi-experimental evidence of a 96% reduction in active dumpsites — and proved what happens when you stop. 125 missions, 117,793 photos, 4,376 automated reports.
Read articleAn in-depth look at how much Oakland spends fighting illegal dumping, what approaches have been tried, and why the problem continues to overwhelm city resources despite massive investment.
Read articleLet's discuss how aerial detection can transform your city's approach to illegal dumping.