Maneva VITA flagging a stamped bracket with an out-of-tolerance hole position on a conveyor, labeled Out of Tolerance: Hole Position
Use cases

How do automotive suppliers check part dimensions on every part?

A camera at the cell measures every part as it passes, and Video-to-Action AI checks lengths, diameters, hole positions and gaps against your tolerances in real time. Parts out of tolerance are pulled before they ship, and every measurement is logged with its image.

Automotive
Quality Assurance

What it measures

On a forming, machining or molding line, Video-to-Action AI checks each part for:

  • Lengths, widths and diameters against the drawing
  • Hole and feature positions, such as holes, slots and studs
  • Gaps and alignment between assembled parts
  • Height and flatness, with a 3D camera
  • Missing or incomplete features, such as heads, threads and flanges

Why sampling misses it

Calipers, gauges and CMM checks are precise but slow, so most plants measure a few parts per hour or per shift. A worn tool or a shifted fixture can make hundreds of out-of-tolerance parts between checks, and every one of them is a possible escape to the OEM.

How it acts

VITA, Maneva's quality and downtime agent, compares every measurement with your tolerances in real time. An out-of-tolerance part triggers the line's reject or sorting device, or holds the line through a PLC interlock, and measurements can be sent to your PLC or quality system.

Every measurement is logged with its image, so a slow drift from tool wear shows up as a trend before parts go out of tolerance.

Where it sits on the line

The camera sits at the end of the cell or ahead of packing, with lighting chosen for the measurement: a backlight for outlines and holes, a 3D camera for height and flatness. Tighter tolerances need a higher-resolution camera or a smaller field of view, so Maneva helps choose the camera, lens and lighting, and where they go.

Result

Every part is measured, not a sample, and out-of-tolerance parts are caught at the cell instead of at the customer. On one deployment, Maneva sends dimensional data straight to the customer’s PLC, so the line acts on each measurement as it runs.

See it on a line like yours →

More for automotive plants: AI for automotive manufacturing →

Frequently Asked Questions

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.

It depends on the tolerance and the camera. As a rule of thumb, the camera needs about 10 pixels across the tolerance range, so a tighter tolerance needs a higher-resolution camera or a smaller field of view. Maneva sets this with you from your drawings, and checks measurement capability on your own parts.
No. CMM and lab gauges stay the reference for first-article checks and audits. Video-to-Action AI measures every part on the line, so out-of-tolerance parts are caught between lab checks.

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.

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