Calculating Average Speeds with BriefCam's License Plate Recognition (LPR)
The short version: BriefCam's demo of speed-by-plate-correlation shows how ALPR networks log every passing car, not just speeders, to build vehicle movement profiles.
Our Take
BriefCam's pitch here is polished and practical: read a plate at Point A, read it again at Point B, do the math, and you've got an average speed. Sounds like a tidy traffic-safety tool. But strip away the dashboard graphics and what you're actually watching is a demonstration of point-to-point vehicle tracking — the exact capability that turns a scattered camera network into a surveillance grid. To calculate that speed, the system has to capture and timestamp every single plate that passes both cameras, not just the ones breaking the limit. Everyone becomes a data point.
This is the quiet mission-creep problem with LPR vendors selling into police and municipal contracts. The tech gets marketed for a narrow, sympathetic use case — speeding, stolen cars, an Amber Alert — but the underlying architecture is a general-purpose location-tracking system that logs where your car has been, when, and how fast, indefinitely searchable across every module BriefCam offers. Once that infrastructure exists, the use cases always expand.
If you want to see how far this kind of camera network has already spread near you, check our camera map, and if you're ready to push back on installations in your own community, our take-action guide is a good place to start. Credit to BriefCam for the transparent demo — it's a useful window into exactly what these systems are built to do.
This is DeFlock The USA’s original commentary. The video above is the work of BriefCam, published on YouTube — full credit to the creator.