Bottles and cartons jammed at a conveyor transfer on a beverage line, outlined in yellow and labeled Line Stopped: Jam at Transfer

Use cases

How do food plants find out what stopped the line, and why?

Cameras watch the whole line, and Video-to-Action AI records when it goes down and which area caused the stop. It double-checks the downtime operators log, so the plant gets reliable downtime data with a reason for every stop.

Food & Beverages

Downtime Reduction

What it records

Across a packaging or processing line, Video-to-Action AI records:

When the line goes down, and when it starts again
Which area or machine caused each stop
How long each stop lasted
Gaps against the operator log: stops that were missed or logged with the wrong reason

Why downtime data is unreliable today

Downtime is usually logged by hand, after the stop is cleared and the line is running again. Short stops go unrecorded, reasons get logged as "other" or "mechanical", and the same stop can be blamed on different machines by different shifts. Machine data, where it exists, shows that a machine stopped, not what caused it.

How it acts

VITA, Maneva's quality and downtime agent, watches each area of the line. When the line goes down, it records the stop, the area that caused it and how long it lasted, and checks that against what operators logged.

The result is downtime data the plant can trust: which areas and machines cause the most lost time, so maintenance and engineering fix the biggest causes first instead of the most recent ones.

Where the cameras go

Cameras cover each area or machine that can stop the line, such as fillers, baggers, wrappers and the transfers between them. Because it works from video, it can cover older machines and lines built from different vendors. Some lines can start with cameras they already have; many need at least one off-the-shelf camera placed for the task. Maneva helps choose the camera and where it goes.

Result

Every stop is recorded with a reason, so downtime reports reflect what actually happened on the line. For why OEE hides these losses, read What your OEE score is not telling you.

See it on a line like yours →

More ways to keep lines running: AI for downtime reduction →

Frequently Asked Questions

Didn't find what you need? Our team will walk you through Video-to-Action AI and show how it fits your production environment.

What does it record when the line stops?

When the line goes down, which area caused it and how long the stop lasted, checked against the downtime operators log.

Does it replace operator downtime logs?

No. It double-checks them, so missing or vague entries can be corrected and every stop has a reason.

Do we need new cameras?

It depends on your site and the problem you want to solve. Some customers can start with the cameras they already have. Many need at least one new off-the-shelf camera placed and set up for the task, so the AI sees exactly what it needs to see.

Maneva helps you scope this from the start. We look at your line, the result you want, and what the camera needs to capture, then recommend the right camera and where to put it.

Maneva is hardware agnostic and connects to a wide range of camera types, including:

Standard RGB and security cameras for many quality, downtime, safety and efficiency use cases
3D and depth cameras for measuring volume, position and dimensions
Thermal and infrared cameras for heat signatures and low-light areas
Short-wavelength infrared (SWIR) cameras, which see through plastic to check seal integrity
High-resolution precision cameras for defects under a millimeter across large surfaces

If you can see it in the video, our AI can understand it and act on it. Start with one line, and we'll help you choose the setup that gets you there.