We make conveyor performance visible

AI Conveyor Monitoring automatically analyzes camera footage and turns what used to be just video into structured data — making shift efficiency, capacity utilization, and worker activity visible and comparable.

Why not use the extra information already contained in the camera footage — especially if it could help us understand shift performance more accurately?

Conveyor utilization cannot be measured objectively.

Reviewing footage is slow — and never turns into usable data.

It’s unclear how many workers are active during a shift.

Shifts are not comparable without unified performance metrics.

Decisions rely on assumptions instead of facts.

The video contains information — but not measurable insight.

The recordings already exist — they just need interpretation

Data extracted from video helps build a clearer, more complete picture of how the conveyor actually operates.

Clear conveyor utilization

Operations become understandable when it’s measurable whether the belt is empty, normally loaded, or overloaded — based on data, not assumption.

Shift-based performance insight

Footage reveals how many workers are active, how breaks influence productivity, and what patterns shape the rhythm of each shift

Video finally becomes data

AI Conveyor Monitoring transforms video into data and makes real performance visible

– where conveyor load, worker activity, and downtime become measurable automatically — without manually reviewing recordings. This makes shifts comparable through unified metrics, and reveals where capacity is lost, where the conveyor stops longer than expected, and which shift performs below the desired level — all without manual supervision.

We don’t just analyze video,

we transform it into meaningful performance metrics.

What used to be visible — is now measurable

The AI automatically detects events, so there’s no need to monitor or review footage manually: it measures when the conveyor runs or stops, how much of the shift is active work time, and what speed it operates at (m/s).

Measurable. Comparable. Optimizable.

Everything needed to improve conveyor-based production — without reviewing video footage manually.

Automated video processing

The system processes footage on schedule — creating consistent shift-level data without human involvement.

Conveyor load and state detection

The AI evaluates conveyor utilization frame-by-frame — resulting in accurate, percentage-based metrics.

Worker activity identification

The system detects how many workers are active and how much of the shift is actual productive time — based on proof, not estimates.

Standardized metrics & shift comparison

All data is exported in a unified structure — allowing comparison across shifts, lines, or sites.

Transparent performance insight

With unified data, shifts become easy to compare — and it quickly becomes visible where performance or utilization falls short of expectations.

Scalable and integrable architecture

A database-driven solution ready to expand across additional conveyors, locations, or enterprise systems.

The goal isn’t measurement — it’s better performance

Real data makes it clear where efficiency can be improved, which shifts perform better, and where capacity losses occur across the workflow. With consistent, standardized metrics, shifts become directly comparable — making improvement opportunities easier to identify, prioritize, and act on.