Poultry processing line with one staffed station outlined in purple and labeled Active, and one empty station outlined in yellow and labeled Unstaffed

Use cases

How do meat plants see when stations and machines sit idle?

ALIS, Maneva's AI Line Supervisor, watches stations and machines through the plant's cameras and tracks whether each station is staffed and active or idle, and whether each machine is running with product on it. Supervisors get the results by station, machine and shift, as a live view or a daily report.

Meat Processing

Productivity Efficiency

What it measures

On a cutting, trimming or further processing line, ALIS tracks:

Staffed or empty: whether someone is at each station
Active or idle: whether the station is working
How many people are at each station, and for how long
Machine producing time: whether each machine is running with product on it
Results by station, machine and shift

Why it is hard to see today

Manual lines are measured with time studies and end-of-shift output counts. A time study shows one moment, and output counts show the total, not where the time went. Idle minutes spread across many stations and machines rarely show up anywhere.

How it acts

ALIS measures staffing, activity and machine running time continuously from video. Supervisors see it as a live view during the shift or as a daily report, broken down by station, machine and shift, so production time becomes something each shift can see and own.

Over time, the record shows which stations and machines lose the most producing time, which helps when planning staffing, layout or maintenance. Some plants use the same data to support output-based incentive programs.

Where the cameras go

Cameras cover the line from above, with each station and machine in view. Nothing is installed on the stations themselves. Some plants 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

Supervisors manage production time with data by station and shift instead of end-of-shift totals. For how this adds up across a plant, read How AI delivers a 20-30% OEE uplift.

See it on a line like yours →

More for meat and poultry plants: AI for meat processing →

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 measure?

Whether each station is staffed, and active or idle, how many people work there and for how long, and whether each machine is running with product on it, by station, machine and shift.

Do we need sensors on each station?

No. Staffing, activity and machine running time are measured from video, so nothing is installed on the stations themselves.

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.