ZeroEyes tells Michigan subcommittee its camera-based AI flags brandished firearms, keeps footage off cloud

Kieran Carroll, chief strategy officer at ZeroEyes, told the Michigan House Oversight Committee’s Subcommittee on Homeland Security and Foreign Influence on Sept. 12 that the company’s software detects visible, brandished firearms in existing security-camera feeds and delivers a brief validated image and metadata to trained analysts and public-safety endpoints rather than streaming live video off customer networks.

Carroll said the company’s commercial product “is doing right now is detecting a visible brandished firearm,” and that ZeroEyes does not perform facial recognition, behavioral profiling or broad video streaming. He said the AI runs on a customer’s network, sends a single keyframe image and metadata if the model flags a firearm and a ZeroEyes analyst validates the detection before any alert leaves the customer system. “We don’t have the ability to look into live video,” Carroll said.

The company’s presentation included examples it said led to arrests or law-enforcement responses in municipalities and school districts, and described recurring patterns such as “social media flexing” — students filming themselves with weapons — and gang-related staging and escalations. Carroll said ZeroEyes operates a 24/7 analyst center, integrates validated detections to dispatch through partners such as RapidSOS, and processes large volumes of frames: “We in person on about 3,000,000,000 frames of video a day,” he said.

Why it matters: lawmakers and school officials are weighing technology that can speed responses to visible weapons while raising privacy and…