AI Visual Inspection

A line that watches itself

Visual inspection is a job humans do inconsistently and cloud AI does too slowly. A defect that takes a 300-millisecond round-trip to score has already moved down the line, and streaming production video off-site is a non-starter for most manufacturers — the footage shows the process, and the process is the IP.

TelemetryOS Edge AI closes the loop on the device. Cameras at the line run inspection models locally, scoring each frame in milliseconds and driving the result to the floor screen instantly — a flagged defect appears at the station while the part is still in reach. Footage stays on-site, inference never leaves the device, and the inspection loop has no cloud dependency to fail.

Because the screen and the model run on the same platform, the result isn't buried in a dashboard somewhere. The display at the line shows the live pass/fail state, the catch that just happened, and the shift's defect trend — and because TelemetryOS devices cache and play content locally, both inspection and display keep running through a plant network outage, syncing results when the connection returns.

Built for manufacturers and integrators

An inspection station is one application on a platform built to run the whole floor. The same TelemetryOS deployment drives andon boards, safety signage, and production dashboards — one console for fleet device management, monitoring, and content across every line and every plant, so a camera or screen that drops offline is an alert, not a quality gap discovered at audit.

For integrators, the inspection logic is theirs to build. Applications are written with a React SDK and deployed git-to-screen, so a model update or a new defect class rolls out to every station from a git push. TelemetryOS enables applications to connect to MES, QMS, and historian systems over any REST API, so defect events flow into the quality record automatically — while the video that produced them never leaves the building.