Gauge Cluster Inspection AI

Check needles, telltales, displays, and lenses on every instrument cluster before it ships to the vehicle line.

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Gauge Cluster Inspection AI for the Toughest Automotive Electronics Lines

  • Deploy Anywhere, Run Everywhere

    Run gauge cluster inspection at end-of-line test stations and in light-tight booths, on the edge, on-prem, air-gapped, in your VPC, or via API.

  • One Platform, Full Adoption

    Tools every electronics team can adopt, from test technicians and operators to test, quality, and manufacturing engineers, no separate ML team required.

  • Secure, Compliant, and Audit-Ready

    Data stays safe with SOC 2 Type II compliance, encrypted data, and an uptime SLA, with an image record for every serial number that supports IATF 16949 quality systems.

  • Needle Position at Every Test Point
  • Telltale Presence & Color
  • Display Content & Segment Checks
  • Backlight & Illumination Faults
  • Lens Scratches & Debris
  • Dial Variant & Graphics Verification
“The vision AI solutions we developed with Roboflow have been a core component of connecting our teams and unlocking their ability to collaborate.”

Lou Stocco

Director of Manufacturing Advanced Analytics, USG

Read the full story

Talk to a Vision AI engineer who's shipped in automotive manufacturing.

Bring us your toughest gauge cluster inspection problem and we'll map a working solution.

Ask us about:

  • Solution architecture that fits your test stations, test sequence, and IATF 16949 quality system
  • A live demo on images of your own clusters under test
  • Deployment options: edge, on-prem, air-gapped, or VPC
  • ROI modeling against customer rejects, warranty claims, retest, and inspection hours

Over 80,000 organizations build with Roboflow.

  • Rivian
  • Pella
  • Chobani
  • USG Corporation
  • BNSF Railway
  • American Woodmark
Start where you are

Vision AI is transforming businesses

Customers across the board are solving complex challenges and driving meaningful impact.

  • Automotive customer

    $10 million

    Saved by automatically detecting defects on the production line

  • Logistics & freight company

    90%

    Less time spent manually tracking shipping inventory

  • Building materials supplier

    60%

    Lower customer return rate with improved product quality

Check Every Cluster, from First Power-Up to Final Pack

Add a real-time inspection layer to every instrument cluster with Roboflow Vision AI for gauge cluster inspection. Built for automotive electronics lines where each cluster is powered up at end of line, driven through a test sequence, and judged by eye or by fixed-rule vision tools that break with every new dial design, and where one dark warning light or offset needle means a rejected part at the vehicle plant or a warranty claim in the field.

Needles and gauges:

  • Find the tip and pivot of every needle with keypoint detection and measure its angle against the dial marks at each test point.
  • Flag offset, stuck, and slow needles during the sweep, and needles that do not return to zero.
  • Catch bent, loose, and missing needles and caps on the speedometer, tachometer, fuel, and temperature gauges.

Telltales and displays:

  • Confirm every warning telltale lights when commanded, in the right color and position, and stays dark when it should.
  • Read the center display and segment readouts with OCR and check them against the test pattern sent to the cluster.
  • Flag dead segments, dim or dark backlight zones, and pixel defects, alongside display defect detection.

Cosmetics, variants, and records:

  • Catch cosmetic defects like lens scratches, debris behind the lens, and smudged or misprinted dial graphics.
  • Verify the right dial face, units, and graphics for each variant and market, such as mph or km/h.
  • Store images and results for every serial number, and trend failures by test step, shift, and variant.

Bring intelligence to every cluster today. Stop dark telltales, offset needles, and wrong dials from reaching the vehicle line.

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Frequently asked questions

What is gauge cluster inspection with Vision AI?

Gauge cluster inspection with Vision AI uses a camera at the end-of-line test station and trained computer vision models to check an instrument cluster while it runs its test sequence: needle positions, warning telltales, display content, backlighting, cosmetics, and the dial variant. Every cluster gets a pass or fail with a marked-up image, tied to its serial number.

How does it check needle position?

A keypoint model finds the needle tip and pivot along with reference marks on the dial. A Workflow turns those points into an angle and a dial reading, then compares it to the value the test station commanded and flags any needle outside your tolerance. It is the same approach used for analog gauge reading in plants, applied to a test sequence.

Can it handle many cluster variants on one line?

Yes. Models learn needles, telltales, and displays as objects rather than fixed pixel positions, so one model covers many dial layouts, and the expected result for each variant comes from the part number. New dial designs are added by retraining on new images, and anomaly detection can learn what a good lens and dial look like from good parts alone.

Can it connect to our test station and MES?

Yes. Roboflow runs on-prem and fully air-gapped, and sends results over OPC UA, MQTT, or REST to the test station PLC and your MES, so each step of the test sequence gets a vision result and a failed cluster is held at the station.

Roboflow serves as the inspection engine, and your test and quality teams own the test sequence, tolerances, and acceptance criteria.

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