Flock-Like Camera Tracks Police, Draws Privacy Visit
Canadian software engineer Anthony Sistilli built a low-cost, machine-learning-powered camera that identifies police vehicles, reads their plates, and logs GPS-tagged sightings. Peel Regional Police later visited his home to ask about the project and its data, highlighting the privacy concerns raised by civilian surveillance systems.
The project is less a practical surveillance product than a sharp accountability demo: reversing the watcher-watched relationship makes the privacy risks of ALPR systems immediately tangible.
- –Uses an inexpensive camera, laptop, computer vision, license-plate recognition, and GPS logging rather than proprietary Flock hardware.
- –Its selective design attempts to identify police vehicles first, instead of indiscriminately recording every passing car.
- –The police response exposes the asymmetry in surveillance debates: tracking officers is framed as dangerous, while mass civilian tracking is framed as public safety.
- –The prototype’s limited range and missed plates show the gap between a compelling proof of concept and an operational ALPR network.
- –Storing vehicle locations and timestamps still creates abuse risks, even when the targets are public officials. Straight Arrow News
DISCOVERED
1h ago
2026-10-11
PUBLISHED
4h ago
2026-10-11
RELEVANCE
AUTHOR
ljf