Factory Automation

High-speed production lines operate thousands of installed cameras monitoring assembly, quality, and safety zones. Every one of them generates a continuous video stream, and the overwhelming majority of those frames show a line running normally — information that has already been captured and transmitted many times over.

ERN-AI processes these feeds as event streams. A line running to specification produces almost no events. A deviation produces events immediately, at the sensor, without waiting for a frame to traverse the network to a GPU.

Event-driven camera powered by neuromorphic AI

What Changes

◆Network load drops in proportion to scene stability rather than camera count.
◆GPU inference capacity is spent on anomalies rather than on confirmation of normal operation.
◆Safety-zone monitoring gains latency headroom, because detection happens at the edge.
◆Existing cameras stay in place; there is no line-down migration window.

Why It Fits

Factory automation environments have high camera density, mature IT infrastructure, and a clear ROI case built on cost reduction. These are the conditions under which a software-only retrofit delivers measurable return fastest.

Discuss a factory deployment with our team.

Request a briefing →