A look at DeFlock, an open-source project that has crowdsourced the locations of 5,600+ automated license plate reader cameras globally from Flock and others
Jason Koebler / 404 Media : Mastodon: @timmy@goblin.camp . X: @jason_koebler , @jason_koebler , @jason_koebler , and @garrytan . Forums: r/ABoringDystopia Mastodon: @timmy@goblin.camp : love a good data project to show just how many automated license plate readers you might drive past in a day https://www.404media.co/... X: Jason Koebler / @jason_koebler : New: An open-source project called DeFlock has mapped thousands of license plate reader surveillance cameras all over the world. See if they're in your city. They also need help mapping more https://www.404media.co/... Jason Koebler / @jason_koebler : This project shows the way Flock lays these out in a city makes it impossible to drive into certain areas without being tracked. Here is downtown Huntsville, Alabama for example. There is a perimeter of cameras facing out, meaning everyone who drives in is tracked [image] Jason Koebler / @jason_koebler : This started with just one guy driving around Huntsville and mapping them by himself. In just a couple of weeks, thousands have now been mapped all over the world. “It still just scratches the surface,” Will Freeman, who started the project, said. [image] Garry Tan / @garrytan : We all deserve to be safe on our own streets Did you know that YC-backed Flock Safety's license plate readers are solving 10% of reported crime across the USA Their goal is 25% by end of next year At YC, we would love more tech that brings public safety to everyone Forums: r/ABoringDystopia : The Open Source Project DeFlock Is Mapping License Plate Surveillance Cameras All Over the World
Context & Ripple Effects
DeFlock adds public infrastructure mapping to a surveillance debate already shaped by reports of Flock's network reaching hundreds of police departments and deployments arranged through homeowners associations without residents being told.
It also sits alongside camera-integration systems such as Fusus's centralized municipal video hubs, making the physical footprint of automated monitoring a more inspectable part of the public-safety technology stack.
First-order effects
- Residents, journalists, and local organizers can use DeFlock's 5,600-plus-location dataset to identify nearby ALPR coverage and contribute additional camera locations.
- Flock and other ALPR providers face greater visibility into where their devices create concentrated coverage, including the mapped perimeters highlighted in Huntsville.
Second-order effects
- Local agencies, property groups, and vendors may face more pointed questions about camera placement, access rules, and notice practices when deployments can be compared with their surrounding streets.
- Crowdsourced mapping creates an independent reference point for assessing surveillance claims, rather than leaving the deployment picture solely to operators and participating agencies.
Third-order effects
- If such maps remain current and broadly adopted, deployment transparency could become a practical component of public-safety AI governance, alongside decisions about how collected data is accessed and shared.
- The broader shift is from scrutiny of individual cameras to scrutiny of networked coverage: accountability debates will increasingly concern the geography and interoperability of surveillance systems, not just their stated purpose.
The trend: Crowdsourced transparency tools are emerging as a counterweight to the expanding, interconnected deployment of automated public-space surveillance.