Privacy.
How on-site processing makes video privacy the default, not a promise.
The guardrails are arriving through bargaining, not legislation
More than 175 union contracts now contain AI guardrails, most aimed at keystroke and screenshot monitoring. The distinction between that and camera-based monitoring will not hold, and it should not.
Sixteen AI bills, and one of them names the bathroom
California's legislature passed 16 AI bills and 8 privacy bills in 2026, none of them law yet. One would ban workplace surveillance in bathrooms, and two would turn AI verification into a licensed function.
The government wrote down the risk itself
A federal privacy assessment for a system that fuses video, facial biometrics and plate data contains a sentence most vendors would never publish. It also describes exactly where the risk in computer vision has moved.
The problem was never the camera
Cities around Houston are exiting their license plate reader contracts. We build license plate recognition, so this one deserves a straight answer about architecture rather than a defence of anyone's product.
The camera backlash is a trust problem, not a camera problem
On the Fourth of July, residents in Lubbock protested to have their city's license-plate cameras removed. The lesson for everyone building safety tech is not about the hardware. It is about what you collect, where it goes, and who controls it.
The real divide in camera AI isn't capability. It's control.
A US city wants facial recognition on its buses, and the fight that broke out misses the point. The line between safety and surveillance was never the technology. It is who controls it, where it runs, and what it is pointed at.
Where does your video actually go?
The question that quietly stalls AI camera projects, and why keeping footage on-site turns privacy from a liability into the default.
Use the guide, then validate it on your cameras.
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